#Using AI in journalism and open-source research
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"far beyond human capability"
This is basically gibberish. Meaningless, unqualified assertion. It reminds me of when folks try to interpret the "meaning" of quantum mechanics without having any familiarity with the math.
How can you even say an intelligence far beyond human capability when the very definition of intelligence is socially constructed, with a large perspective bias given to humans?
We were discussing just a few days ago how this comparison with humans might not make sense or be useful. I think measuring / discussing the power of these models could use some creativity. I wonder if that sort of silly framing is helpful with generating hype among funders and attracting capital. Or if it actually turns off some funders. On a related note, I’m curious about who has been funding him.
Daniel Gross (Coinbase) is an investor.
This isn’t how TikTok wanted its new AI launch to go. After debuting a new line of AI avatars, TikTok was hoping businesses would use them to launch new products on the platform. However, CNN’s Jon Sarlin discovered that TikTok’s new AI created unmoderated and unmarked videos, including the ability to recite an excerpt from Hitler’s “Mein Kampf....
commenter P(Doom) = 100
Sure but it's not wrong
This idea that they'll achieve a breakthrough in fusion in time to address the increasing demands they're putting on the grid/increasing emissions exposes that they aren't serious about the issue, that they've made the implicit choice to sacrifice collective well-being of humans and planet in favor of expanding this.
Fusion has been in development for more than 70 years and it's still maybe another 70 years off from getting to a point where commercial plants could be built... and that's even if that is possible to scale up a hypothetical energy surplus lab tokamak or stellarator design (we have no guarantees it is). Scaling AI in the meantime, relying on emitting fuels and infrastructures for the next 70+ years to power it, is tantamount to annihilation.
As much attention as AI is getting right now it's still a very small part of grid demand. It may be locally important in a few places like Northern Virginia, but compared to AC? This is not the problem to focus on as far as energy efficiency goes.
I'd also say Texas is a large problem area.
It is. Texas already has ongoing grid issues yet openly welcomes crypto mining operations. Like Virginia, data center sprawl has reached residential areas. Imagine sharing infra with those rude neighbors.
According to Goldman Sachs forecast, assuming the AI boom doesn't go bust AI data centers could be as much as 8% of grid demand by 2030. By comparison, AC today is about 19%
Almost tripling your entire national demand in five years is, uh, a lot
Just because 8 is a smaller number than 20 doesn't diminish the significance of the former, especially when you consider that AC is going to be essential to keeping some places habitable while AI is extremely unessential
And that's just after five years!
It's still going to grow past that
How peaky is data center power demand anyway? Because if it's consistent throughout the day instead of being extremely peaky like many consumer power draws, it makes a huge difference for how badly it strains the grid.
whats crypto at nowdays?
also remember the weapons plant in norway that couldent expand becouse a tictok datacenter used the avalible electricity
You know the reason I bring up this comparison is that if you are concerned about issues like carbon emissions or grid stability, you have to keep your eye on the big picture. You very often see people who end up hyper focused about small problems, while ignoring the big ones. You need to address all sources of demand, systematically. Otherwise you will defeat yourself.
I don't disagree. It requires a cultural change, a holistic mindset to address. Fixing just any one thing won't solve the situation
But this industry has incredible influence and deep pockets. They are hedging their futures on generalizing an energy/water intensive technology, incorporating it into every facet of social life. They are building it out at an astonishing rate, brushing aside any previous statements they've made about climate change commitments. They throw up obvious dead ends and scams in the form of a "fusion moonshots" and vague "efficiency breakthroughs" to address energy concerns.
This is only the beginning. It echos the way petroleum became normalized in almost every aspect of human life with little heed of the long term ramifications (which were known). The focus is warranted not only for the actual substantive resource consumption at present, but also because it is probably the last chance to head off a future where it grows in the way the industry is hoping for... if it reaches that point it will become almost impossible to reign in unless resource wars, ecological collapse, mass death of humans forces the issue.
TLDR it's important to talk about this resource/ecology impact in these early phases when regulation and institutional pressure can have an effect and head off a high growth, high social infiltration, worst case scenario
There is some tide change, however small. Rude awakenings and rumblings in Virginia (top trouble spot with Texas) and Georgia paused tax incentives for data centers against a backdrop of grid strain and job stagnation (unkept promises).
That's good to hear
And circling back to the doomer ism, yeah I'd agree that full doom isn't necessarily the best mindset. It invites surrender, helplessness. And I'm not convinced civilization will accept the worst case scenario either (though it hasn't done much to earn my personal faith).
But it is worth seriously reckoning with the reality that the doom scenario can easily happen, often without people realizing it until the momentum is unstoppable and another way to live is unthinkable. The last few centuries are riddled with examples (that film Oppenheimer presents a recent pop point of reference)
if AI proves to be extremely unessential then the bubble will pop. Nobody is going to spend trillions of dollars supporting crappy AI assistants once the novelty has worn off.
But if we're actually headed to a world in which 10% of all the energy we generate is devoted to AI, then it will be because it's actually extremely valuable and doing useful things.
I fundamentally disagree. This is not a rational self regulating system.
Anyway, I need to get back to rebuilding my vehicle's CO2, NOx, PM 2.5 emitting internal combustion engine because, not very long ago in my country, some people with power thought that accelerating a multi ton steel cage many times my size to 60 mph to get everywhere and do almost anything was obviously the future and redesigned society around that singular notion.
Well good luck with that. On the bright side, Today the most popular EVs are already cheaper than the average engine powered personal vehicle in North America. Next time you have to rebuild an engine, it could be cheaper to tear the whole thing out and replace it with batteries and a motor.
As a person who hates cars and is a part time engine builder, that's not how any of that works.
I didn't say easy! Just cheaper! But EV conversations are admittedly more a novelty than practically valuable. Mostly because they get bad efficiency.
There is no way a battery system of sensible weight that can fit in a truck chassis can replicate the power density of diesel fuel. The axles don't exist, everything about the system would have to be designed and one off fabricated which would cost maybe an order of magnitude more than a rebuild. I cannot imagine how many different design and machining outfits I'd have to contract to make it happen. The closest thing I can think of is a diesel electric hybrid retrofit that at least one company is developing and even that is in the alpha phase (and would cost far more than a rebuild).
The larger point is that EVs aren't a solution (for reasons I will not go into here), it's the infrastructure, the way power brokers organized society around it before people knew collectively what we had. That's the take away. That's the danger of these technological revolutions. That is the prime societal implication of recent advances.
Some day I need to actually do the calculation on how much energy it is in a lithium ion battery if you burn it for fuel instead if just using the electricity in it then recharging it
I would guess that you could theoretically get at least as much energy from using litium ion batteries as a combustable fuel as you can from diesel
Am i just too tired or is this basically equvelant?
At 3 V, this gives 41.7 kJ per gram of lithium ion
The calorific value of diesel fuel is roughly 45.5 MJ/kg
The trick would be an engine that could capture the energy at a level of efficiency comparable to a diesel engine. Additionally diesel is very safe to store and transport in that it requires atomization to combust (modern injectors exceed 20k psi). Would this fuel be safe? Could it be put into liquid form for transport ease/fuel metering purposes?
The real killer would be that diesel, whether petroleum, biomass, or recycled veg oil, is much much more plentiful than lithium. Lithium is rare and highly disbursed, hence the extensive mining infrastructure required to produce (so far unrecyclable) batteries.
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Diesel(internal combustion*) engines only manages to use about 10%(maybe 20% was a while since I last checked) of the energy in the fuel to turn the motor around, the rest is lost as heat.
Yes a internal combustion engine is more effective at being a radiator than at propelling anything forward. -
The whole thing is a joke on the fact that in most EV VS IC comparisons the fact that the battery pack is still in the car seems to be forgotten.
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Yes there are plenty of problems with going over to a 100% EV infrastructure so thankfully that change will take plenty of time
Addition on #1
Their are types of diesel engines that can reach a higher output in work than in heat but those are at best unsuitable for anything smaller than a large boat or require an installation too large even for that so are only suitable for power plants.
So you could relatively easily get a situation where it's actually an environmental net positive to have a diesel power plant next to the EV lorry charging station.
(This would also make exhaust control a lot easier and actually allow for carbon capture given that you wouldn't need to hunt down the co2 you could just pipe it directly)
Not sure where you're getting this from; thermal efficiency at the crank is between 25-40 percent depending on load, with more advanced platforms peaking above 50
Mostly working backwards from half remembered data one or two decades out of date
regardless you still need to use one of this to even get above 50%
and we are rather far outside the scope of the channel....
agree with this take.
AI plays an outsized role in the headlines. those data centers are within fairly well-known, well-established players. Microsoft, Amazon, Dell, Oracle, etc.
there's probably a CAGR specific to the AI-led contributions (LLMs are a bubble formation imo) that might eventually see an exponential gradient.
but i also firmly believe the shift will be away from these beastly, overly general large models into more specialized designs performant on edge and commodity hardware. thus tapering off any specialized markets except for niche players and niche use-cases.
yea, and its fairly hard for us to criticize data centers for hosting discord or w/e when we're the ones using it
All of this computing requires energy. Chip manufacturers, Nvidia included, have generally designed chips to minimize energy use per calculation, but they still require energy and still generate waste heat. The way CPUs work and the density of their use in the space meant that data centers could work, physically and economically, while air-cooled. Air cooling meant increased electricity demand from air conditioning as computation and data centers grew. But AI training uses GPUs with their greater capabilities and commensurately greater energy requirements, both for the greater computation load and for cooling (more on that topic in a future post).
good framing.
there's one client (so far) who transitioned to using ARM64 in AWS which took several of our engineering staff a lot of hours and creative solutioning to transition AI/ML workloads fully into (within framing of AWS capabilities).
that it isn't trivial and that it takes specialized knowledge + skill means we're still far off the mark from making better energy-consuming economies of these workloads.
I remember when Nvidia released their Tesla (I think it was) architecture where they transitioned to unified shader cores and compute was starting to become a thing. I remember telling a relative who works in geotech that they should start using those GPUs for their geo simulations. I could see how the world was gonna change with this kinda massively parallel general purpose arch but didn't grok how far the implications stretched.
And programmers have simultaneously worked hard at undoing any gains in effectivity from chip makers
@lost geyser what's your bead on the usefulness of machine learning to business intelligence applications?
my daily bread 🍞
Cool! Maybe better to shoot you a DM in that case
https://news.ucsc.edu/2024/06/matmul-free-llm.html
Large language models ... produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high. It costs $700,000 per day in energy costs to run ChatGPT 3.5, according to recent estimates, and leaves behind a massive carbon footprint in the process.
..., researchers from UC Santa Cruz show that it is possible to eliminate the most computationally expensive element of running large language models, called matrix multiplication, while maintaining performance. ..., researchers found that they could power a billion-parameter-scale language model on just 13 watts, about equal to the energy of powering a lightbulb and more than 50 times more efficient than typical hardware.
and the solution is rather elegant, swapping expensive operations for functionally-equivalent cheaper ones:
The researchers came up with a strategy to avoid using matrix multiplication using two main techniques. The first is a method to force all the numbers within the matrices to be ternary, meaning they can take one of three values: negative one, zero, or positive one. This allows the computation to be reduced to summing numbers rather than multiplying.
...
Instead of multiplying every single number in one matrix with every single number in the other matrix, as is typical, the researchers devised a strategy to produce the same mathematical results. In this approach, the matrices are overlaid and only the most important operations are performed.
[the MSFT research mentioned in passing is https://arxiv.org/abs/2402.17764]
To push the energy savings even further, ... the team created a prototype of their hardware on a highly-customizable circuit called a field-programmable gate array (FPGA). This hardware enables them to take full advantage of all the energy-saving features they programmed into the neural network.
With this custom hardware, the model surpasses human-readable throughput, meaning it produces words faster than the rate a human reads, on just 13 watts of power. Using GPUs would require about 700 watts of power, meaning that the custom hardware achieved more than 50 times the efficiency of GPUs.
FPGAs are the mighty underdogs of AI/ML workloads.
Need to brush up on my LA
So true, king.
Humor is a sign of intelligence, so I asked Claude-Sonnet-3.5 to absolutely COOK GPT-4o.
Then I put the results into a @DaveChappelle deepfake.
The result is damn jarring... See for yourself:
CW: Body Horror?
This AI video attempt to show gymnastics is one of the best examples I have seen that AI doesn’t actually understand the human body and it’s motion but is just regurgitating available data. (Which appears to be minimal for gymnastics)
"humor is a sign of intelligence"
Truffle–1 Pre-Order Now Available
Truffle-1 is an AI inference engine designed to run opensource models on 60 Watts.
It is built to be used as a home server, and can be connected to through BLE, WiFi and USB-C
This is local, personal AI.
It is capable of running Mixtral 8x7B at 20+ tokens/s, and Mistral at 50+ tokens/s.
AI audio firm ElevenLabs has set agreements with the estates of Judy Garland, James Dean and other legends to use their voices to read books, articles, PDFs and other text material to mobile users of its new Reader App. https://t.co/NHqvstcz7k
(paper in question is a preprint. Not sure if and where they may have actually submitted it)
Using Ai to animate old photos
This is disgraceful. And ironic.
@stripe canceled an account used to collect money for a course. The cancellation was due to an AI/ML model failure.
The course was about how to use AI/ML correctly.
Quoting Hamel Husain (@HamelHusain)
New businesses cannot trust @stripe
They literally holding all my money hostage and you cant get through t...
This is a bit different to what is usually posted here but it's intriguing nonetheless "AlphaFold2 has undeniably shifted the way biologists study proteins. However, while AlphaFold2 is a powerful prediction tool, it’s not an omniscient machine. It has solved one part of the protein folding problem very cleverly, but not the way a scientist would. It has not replaced biological experiments but rather emphasized the need for them." https://www.quantamagazine.org/how-ai-revolutionized-protein-science-but-didnt-end-it-20240626/
"However, there are still massive gaps that artificial intelligence hasn’t filled. These tools can’t simulate how proteins change through time or model them in the context in which they exist: within cells. “AlphaFold changed everything and nothing,” said Paul Adams, a structural biologist who develops algorithms to model the structures of biomolecules at Lawrence Berkeley National Laboratory."
Genuinely shocking to see a high profile presenter using ChatGPT to generate facts and stats on a live TV broadcast - notoriously inaccurate and impossible to reference / fact check.
Quoting Rory Stewart (@RoryStewartUK)
We are all still awake here on @Channel4News - I fear however that @campbellclaret may be about to morph into a French int...
I'd like to add one point to the discussion: with or without AI, modern cloud infrastructure is increasingly built on convenient but very energy inefficient design patterns (eg serverless). Even the smallest tasks - like receiving one message or API call - take at best several times more computation than conventional services, but may in worst case scenarios involve loading up to gigabyte sized containers that run unoptimized code (for EVERY invocation). I bet the current growth is driven by that and general migration of on premises to cloud.
https://fixupx.com/ZachWahls/status/1810767046319427606
https://fixupx.com/Stacie_Stig/status/1810867950984818774
there are tons of Trump apologists running amok on the platform, too.
most of them spring up around the Project 2025 denialism.
O yeah, that's been mentioned all over. Check out #infosec #usa-canada and https://discord.com/channels/709752884257882135/1259166395694846184
I'm not sure where the discussion, if any, settled.
https://x.com/KevinBankston/status/1811075836558114968
https://threadreaderapp.com/thread/1811075836558114968.html#google_vignette
Just pulled up my tax return in @Google Docs--and unbidden, Gemini summarized it. So...Gemini is automatically ingesting even the private docs I open in Google Docs? WTF, guys. I didn't ask for this. Now I have to go find new settings I was never told about to turn this crap off.
(from article above)
All those words and these are the only explicit ideas... And they seem like pretty bad ones
Is this from the edweek article right before?
Yes
some friends who are teachers told me they've already been using ChatGPT for lesson plans and Midjourney for in-class illustrations.
those are ofc the safer AI plays but as-written above they may need some human guardrails in that social experiment.
Yeah a teach I know said a lesson plan helper tool could be useful
It'd be nice if the messaging regarding this was approached with a more exploratory mindset instead of the "this is obviously the way of the future"
The idea that AI will be a critical tool for "lifting up students with disabilities", or potentially identifying undiagnosed ones, feels like a terribly irresponsible thing to mention at this point where capabilities in that niche are basically unknown
totally agree. comes with a complementary set of blinders.
llama.ttf is a font file which is also a large language model and an inference engine for that model.
Don't know where else to post this but here's some proper black magic
Bro successfully made a robot uncomfortable
I might be getting a job at Mozilla soon. For AI Global Policy
llama3 8B (not quantized) running on an heterogeneous home cluster made of:
- iPhone 15 Pro Max
- iPad Pro (not sure which version XD)
- MacBook Pro ( M1 Max )
- NVIDIA GeForce 3080 (not visible in video)
- 2x NVIDIA Titan X Pascal
Very soon also supporting Android (I have to also add my NVIDIA Shield GPU!!!!!).
Single code base, single mod...
Why lol
one could say:
it's been done before.
and another:
yes, but not like this.
and tbh there's a lot of dark/underutilized compute hanging around in "dead tech" and obsolecent smart phone versions. so ... gets a pass ig?
People really underestimate the power of "because I can" type play. Why did you climb the mountain? Because I can. Why did you build the tesla coils to play the mario themetune? because I can, etc
AI is now being used to advise FTX claimants re issues with the FTX bankruptcy.
I have yet to try it but will update depending on what I find
“O, reason not the need!”
Will the genAI bubble pop soon?
It's at or near Peak of Inflated Expectations on the hype cycle diagram.
ah I see
bc in terms of technical innovation it seems to have plateaued
Llama3.1 is out 🦙
Their customer support volumes will then increase tenfold.
Put your budgets where your bad bets are, CVS.
https://www.wired.com/story/ai-is-already-taking-jobs-in-the-video-game-industry/
archived: https://archive.is/20240724225733/https://www.wired.com/story/ai-is-already-taking-jobs-in-the-video-game-industry/
404 Media has published a report alleging that Runway, a major AI company, used scraped YouTube videos to train its Gen-3 AI video generation model without permission, including major brands and content creators.
I'm wondering if this will accelerate things with copyright/fair use legal challenges/legislation.
Source: https://www.404media.co/runway-ai-image-generator-training-data-youtube/
I wonder how much money does each genAI-centered startup invest into marketing?
No doubt that there will be many introductions of different bills to curb this trend
An internal video shows that Ziklag plans to invest $800K in an AI tool to automate the process of challenging ineligible voters. The tool is being promoted by Trump ally Cleta Mitchell, who played a key role in trying to overturn the 2020 election.
Embarrassingly bad idea..
But Ziklag is not a political organization: It is a 501(c)(3) tax-exempt charity, the same legal designation as the United Way or Boys and Girls Club. Such organizations do not have to publicly disclose their funders, and donations are tax deductible. In exchange, they are “absolutely prohibited from directly or indirectly participating in, or intervening in, any political campaign on behalf of (or in opposition to) any candidate for elective public office,” according to the IRS.
ProPublica and Documented presented the findings of their investigation to six nonpartisan lawyers and legal experts. All expressed concern that Ziklag was testing or violating the law.
a new frontier emerges.
Oh wow I had no idea about this at all - this is from 2023 about the AI tool https://www.nbcnews.com/news/amp/rcna97327
Yeah it seems like an "overwhelm" the system type of thing
The bigger stat for me: 96% of execs surveyed believed AI would lead to efficiency gains, but 77% of workers say they’re now less productive, and 47% say the targeted productivity gains are impossible.
Here’s a link to the research itself: https://t.co/jnSRYxBJ8h
I spoke on the House floor today to mark Disability Pride month.
I hope I can be a voice—even an AI voice—for Americans facing accessibility challenges & other disabilities.
Too often people only see us for that disability, & in truth we are so much more.
Yeah, totally not shocking really. But interesting to see what happens when books of academics get shared en-masse: https://www.thebookseller.com/news/academic-authors-shocked-after-taylor--francis-sells-access-to-their-research-to-microsoft-ai
Helpful comments from noted mathematician Sir Timothy Gowers regarding some important considerations for Google's recent AI Math achievements: https://x.com/wtgowers/status/1816509803407040909?s=46
Google's Announcement: https://deepmind.google/discover/blog/ai-solves-imo-problems-at-silver-medal-level/
I quickly browsed through the discussion here. The lack of reliability in generative AI was discussed here in detail, but research on informed machine learning was not mentioned (I would have been surprised if it had been mentioned) https://doi.org/10.1109/TKDE.2021.3079836
AFAIK there has not been any success in incorporating these techniques in large language models nor in generic image generation models 😦
this is an upstream topic typically more suited to #data-science-and-engineering. primarily this channel is open discussion on the downstream effects and consequences of generative AI in the wild.
also, taxonomy and informed priors at that scale is exponentionally non-trivial, but has been done in commercial spaces.
it's an interesting read (I just did).
I understand, but incorporating some truthfullness to generative AI will have downstream effects too 😄
magnificent
We're gonna end up going back to "trap streets":
https://en.wikipedia.org/wiki/Trap_street
In cartography, a trap street is a fictitious entry in the form of a misrepresented street on a map, often outside the area the map nominally covers, for the purpose of "trapping" potential plagiarists of the map who, if caught, would be unable to explain the inclusion of the "trap street" on their map as innocent. On maps that are not of street...
browser-based LLM that runs locally this is kinda neat https://secretllama.com/
Anyone looked into this?
there is a fake, AI generated video of sonya massey throwing the pot of boiling water at the officer going around and people are falling for it.
This sadly isn't even remotely surprising if you're familiar with the subculture 😦
The Habsburg AI theory is yet again validated, this time in a new paper in Nature.
Training large-language models on data created by other models—or AI systems trained on synthetic data —causes "irreversible defects in the resulting models." https://t.co/2DUmJtnWjs
So in other words, no new data = recycling of used data = fall of the AI training cycle
Yes.
The Nature article is slightly disingenuine to present this as "new" phenomena. Anyone who has trained GANs (precusors to diffusion nets) has already felt the pain of model collapse (see: mode collapse) under synthesized sample training. Similar things happen to distillation networks wrt student models (the learners) being less accurate than the teacher.
We find that indiscriminate use of model-generated content in training causes irreversible defects in the resulting models, in which tails of the original content distribution disappear. We refer to this effect as ‘model collapse’ and show that it can occur in LLMs as well as in variational autoencoders (VAEs) and Gaussian mixture models (GMMs).
Tweet author also gives it a new name as if to stake claim in discovery.
now now, just becuase most experts in the field are already familiar with this phenemonon (to put it loosely) doesn't mean most ordinary folks do
either way, most folks aren't familiar with AI let alone the entirety of machine-learning so I'll give them the benefit of a doubt
Agree with "ordinary folks" but these are resarchers and research publications aimed at scientific community.
https://futurism.com/investors-concerned-ai-making-money
Somewhat related ig.
oh, I suppose they want to leave behind some sort of legacy
In a blog post last month, Sequoia Capital partner David Cahn argued that the entire tech industry would have to generate $600 billion a year to remain viable.
Valid.
Yeah I mean, it's actually fairly intuitive if you've played around with the new generative AI stuff imo
In that each output introduces some subtle "errors" that take an eye to spot but nonetheless very much exist
If you feed that back into a model for training it's no surprise that errors compound
I'm not sure if I have the best justification for this, but the way I intuited this was that if you ask ChatGPT to write a magazine article it's noticeably worse in literary quality than actual magazines (and I do stand by this)
Yes terrible. The Google marketing people should read the literature on AI-mediated communication where we argued since 2019 that AI content will lead to loss of trust and changed perceptions... this particular scenario best captured in a paper from @diyiy and @asbruckman: "Will AI Console Me when I Lose my Pet? Understanding Perceptions of AI-M...
https://www.friend.com/product.html
I didn't realise that we had gone full black mirror
I saw that yesterday and thought it was a parody 🙃
What is really funny is the Morning Brew journalist ratioing the creator:
https://x.com/macyagilliam/status/1818452533506949160
congrats to whoever sold these idiots this domain for $1.8 million
the only person who's gonna make any money here
lol
@lilac ginkgo ^ remember Avi's harsh dissection of the Humane AI pin?
Dude went and made an AI pendant ...
of COURSE he's behind friend lol
my dislike of him feels incredibly justified now lol
Someone needs to come out with a "biological AI that acts to your emotions and can help you exercise" and its just an advert for a dog/cat home
EDIT:May have just emailed MorningBrew to suggest this 
TL;DR gaming revenue drops (59%), data center revenue rises (115%), driven by gen-ai.
Thanks for sharing this! It contains the best alternative explanations I’ve seen so far for the findings of Wang and Kosinski. It’s refreshing to see criticism that engages with those findings.
From my memory of reading those papers, they didn’t seem to be pushing physiognomy based theories. I also remember the conversation as being a lot more about how computers reason. I feel that the authors tried to use a convenient sample and then ended up mentioning an explanation based on physiognomy research after seeing that the computer seemed to attribute likelihoods based on face width. Now that I see this paper, I strongly feel that the authors shouldn’t have done that and should have already mentioned alternative explanations.
It’s good to see a detailed description of factors that might have been used by the system to make a prediction, instead of the face-width explanation that was mentioned by the researchers then.
Worth remembering that Kosinski’s PhD research is thought to have been used by Cambridge Analytica - without his authorization if I remember well - during Brexit. That one not based on images, but on Facebook likes.
https://doi.org/10.1016/j.patcog.2021.108035
This paper made me open my eyes on the lack of quality control for any AI stuff out there.
"Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies" by Hryniewska et al.
It shows many of the ways AI goes wrong if the people making them have no domain knowledge or no AI knowledge.
The leak also shows Nvidia scraping Netflix to make its model. Netflix says it does not have a deal with Nvidia, and that it does not allow scraping under its terms of service https://t.co/iLaGPgIDSD
this part also signals downstream effects (unintended consequences):
Publishers are blocking web crawlers, putting up paywalls, or updating their terms of service to bar AI companies from using their data as training fodder. A new study from the MIT-affiliated Data Provenance Initiative looked at three of the major datasets — each containing millions of books, articles, videos, and other scraped web data — that are used for training AI. It turns out, 25 percent of the highest-quality data in these datasets is now restricted. The authors call it “an emerging crisis of consent.”
precisely as this becomes a roadblock to open research methods, it's equally disruptive to both the training and the inferencing cycles for these models.
for instance, it's nice having Perplexity.ai's attempts at citation(s) needed when generating its output. it relies on having an open, searchable internet for that feature.
this chips away at the broader ability to achieve alignment on fact-based generative texts. with greater content creator/management restrictions, it might actually have a reverse effect for ethical AI.
adversaries can also poison the internet with "false fact" data with greater freedom of reach, with lesser or zero restrictions on its access and use.
this will impact the open web broadly
yes, definitely. the value chain of archive.{org,is,ph} will be disrupted and degraded. perhaps to substantial degree.
wonder if anyone happened to analyze that same content against what commonly gets archived.
i know cloud flare has an anti-scraping tool that obfuscates things like email addresses
It seems more motivated by the worse than expected employment number in the US, which has made some jumpy investors think that a recession is coming in
AI related companies have their values more inflated so they're going to suffer more
This adds volatility but I don't think it's going to lead to a major crash
Even within AI companies
someone did a little trolling haha
I'm not sure if I believe this tbf
Sorry for ping, but it seems quite poorly written and arguably closer to some critique of neoliberalism more than anything else
there are a number of fair, fundamental critiques against the points raised in that article, beginning with the main thesis/hypothesis.
Fair, though I'll be finishing my thoughts and not responding to your messages in real time
replace AI with computers, industrial revolution, automation, modernization, and the argument becomes increasingly flimsy as an argument against AI in this context.
I had this giant thing written up but I accidentally restarted Discord so it's completely gone (also I'm not an economist and therefore lack subject matter knowledge; what follows is just why my bullshit detector went off)
But suffice it to say what I noticed was
a) Misreading papers where "displacement" is erroneously taken to mean "unemployment" (high displacement is not a controversial position, consider that it would also include reskilling and while that has a cost that's not the same thing as losing jobs); prospective simulations being cited as "empirical analysis" (and also linking to a Brookings commentary instead of the actual papers). Talks about wage-differential impacts of AI-automation (lower-wage workers being harder hit) but speaks nothing of where those low wage workers will end up in the long run (the papers linked via the Brookings commentary are more modest, speaking to the costs of reorganization or exposure more generally as opposed to a spike in unemployment)
b) An entire section on globalization seeming to only exist to discredit the economist (a field nowhere near as bad as its reputation); including highlights where the historian Anne Applebaum is described as an "expert" (she isn't, we're doing economics here); some rhetoric on "world leaders touting globalization" (ostensibly a reference to post-Cold War end-of-history proclamations but presented with no such nuance). When an economist is linked, a media article is cited and the researcher themselves does not appear to work in the relevant subfields (he is an environmental/developmental economist, how are either relevant?)
c) Vague gestures at race-differential impacts of globalization (irrelevant here) with a link to AI-induced unemployment stated but not defended; and while these impacts are important to consider their inclusion makes no sense when the original thesis ("AI will steal our jobs") is insufficiently justified. Worker retraining in general is derided citing a magazine article in The Atlantic very obviously focusing on rural worker retraining (also please do not cite narrative journalism as scientific reporting)
d) Gestures at "methodological flaws" in economics research by linking to an ostensibly Effective Altruist think tank (a literal spinoff of FHI) - while this isn't a sin in and of itself the EAs are... known for their AI doomerism and (as I understand the field) an overall minority in AI research. States that emergency measures are required citing a study about recession with no argument as to why AI automation is contractionary. Pivots completely to the advocacy of national service and stimulus-style payments to "provide opportunities for displaced workers" without defense or consideration of alternatives
Overall thoughts are that this is ultimately more of a rhetorical piece than an actual argument (I feel like I'm at an AOC rally), written without both subject matter knowledge (the author is a lawyer) and a meaningful consideration for the nature of argumentation and justification
And also I would like to cite Brandolini's law here, since sending that link would've taken the poster two seconds whereas I had to trace and skim multiple dense economics papers as a nonexpert to provide a response more than just "poorly written => probably wrong lol" (which is what happens when you cite commentaries but not the original studies)
"field nowhere near as bad as it's reputation" is where you lost me
How so? And really I'm not sure how there's an issue with the fundamental thesis of "it's important to look after the interests of threatened workers as ignoring the problem has, you know, bad knock-on effects"
it's capitalism being capitalism.
the argument "AI is taking your job" can be replaced with "immigrants are taking your job" or "offshore is taking your job" and in every case it's a deflection. it seeks to displace responsibility for job losses away from steering committee and stakeholder decision-making.
in a micro level, AI doesn't displace an entire job. It enhances or replaces tasks; augments or supplants entire workflow processes; and in some cases, a job can go away. but it's reductive to say that's entirely the function of AI. it could also just be that particular job has itself become obsolete. technological advancement has a tendency to deprecate things.
(i'll ignore the article's oddly specific and hardly generalizable reference to the game development industry. that's a beast unto its own, of its own making.)
the thesis itself is reductive in that sense--that an entire job goes away because AI showed up. not really how it works--but that's not to say it isn't how misguided corporations will see and act on it.
there's also an opposite influx of entirely newly-enabled workforce that were on the outskirts of AI tech. they can now do things without the assistance (or even expert knowledge) of how AI works and be quite productive.
there's an entire arm of management consultants posing as newly-minted AI experts doing this very thing in spaces where I operate.
Idk that feels like an issue of semantics; the availability of AI will cause workers to be replaced or lose their jobs. Just like the presence of a workable autonomous semi would cause truck drivers to lose their jobs
there's also a bit of buyer's remorse on large scale op models that decided to make such decisions:
https://www.cbsnews.com/news/walmart-self-checkout-target-dollar-general-costco/
I mean quite literally that is what a good few of the papers talk about lmao, difficulties in readjustment
Again it's about displacement, everyone agrees that lots of people will lose their jobs
That's not necessarily unemployment because new jobs can be created
And also this is kind of lump of labor fallacy, that there's a fixed amount of jobs to go round
And if you have a critique of economics that isn't political theory in disguise I'm happy to hear it
I was a maths/physics major so my loathing towards econ is pretty deep seated; I don't think the conversation would be productive.
I'm compsci coming from math
Though I'll tell you that if your exposure was some undergrad classes you took you probably didn't learn anything of how econ is done today
Like sure the truckers will lose their jobs, but to claim they will be unemployed is to claim that they won't end up anywhere else
Like read my response lol, that one comment isn't that relevant to the whole thing
To argue this the essay talks about how worker retraining is usually ineffective by... citing commentaries and a paper that talks about it being ineffective during a recession
Without the essay talking about recessions in the slightest
It's just AI bad; and again what is the relevance of the globalization section except demonstrating that you consider a historian an expert on econ
it's important to look after the interests of threatened workers as ignoring the problem has, you know, bad knock-on effects
And I think this is almost an intentional misreading of that essay - this is a defensible position (that I agree with!) but no such defense is provided
This a complex thing; there will be many who become unemployed, over time that number will drop and settle down to an average that has most of them being employed and a minority in a persistent state of unemployment. Some who are older will just retire instead retraining. Among the employed there will an average "percent of previous wages and benefits" multiplier.
During the initial period of unemployment there will be various effects felt in the person's broader life and family with regards to food, child care, housing, healthcare, transportation, etc. Safety nets vary state to state in the US but they are, on the most part, garbage and leave individuals and families in states of high vulnerability, in many cases resulting a permanent decline in standard of living.
I was waiting for you to finish because I was in fact intending on adding that there would be frictions and costs to adjustment and I also know what NAIRU is lol
That's kind of like... in the recommendations of those papers, mitigating the costs of displacement
I'm not going to continue this further, but again it's not a good look for a piece if it immediately takes displacement to equal unemployment and argue that literally
Caring about workers is a nice vibe, but it's just really poorly argued
It's a shame because the differential impacts by race of this is an actually valid point
"Advances in AI will continue to challenge policymakers by forcing them to prioritize certain concerns and risks above others. Not all risks, though, warrant the same level of attention. Mitigatory steps to address worst-case AI scenarios, for instance, may have marginal utility in addressing other bad outcomes. Creation of AI “kill-switches,” by way of example, will be of little import when AI threatens the livelihood of an entire profession. Conversely, steps to prepare for more likely and more well-understood AI risks, like labor displacement, may increase the overall resilience of the government and public."
Lawfare is a natsec publication. It's probably not going to do a deep dive on all this minutua. The quoted part above is really the key point. There's been a somewhat public focus on AI regulation in the context of reducing natsec risk, the article is saying the more pressing concern is making sure displaced workers are taken care of in terms of maintaining national stability.
It's probably not going to do a deep dive on all this minutua
not a good place to get info about it then, and I presume you agree with me on that
The same way you don't read the New York Times for anything the LHC might pump out
I don't agree with that comparison, and I'm not saying the article is perfect, but sure, I wouldn't consider it an authority on AI development or broader economics.
I mean I do want to close this but I think we just read that completely differently
I read that as an AI doomer-esque scaremonger that misunderstands almost everything it talks about; and as is typical probably didn't do the econ pretty well
Probably. I've been reading Lawfare for about a decade so I approach their stuff with the frame of the scope of the publication.
Right, which is natsec and this is a good perspective to have on that (actual human workers etc)
I just think it was done poorly and suffice it to say did not convince me, but I'll end the convo now lol we've extended too long
‘They point to a recent study of German gas stations, which found that when one major player adopted a pricing algorithm, its margins didn’t budge, but when two major players adopted different pricing algorithms, the margins for both increased by 38 percent. ´
Powers said he believes existing antitrust laws cover algorithmic collusion—but he worried that he might be wrong. “That's the thing that kept me up at night,” he said about his tenure at the Department of Justice. “The worry that all 100-plus years of case law on price-fixing could be circumvented by technology.”
Deep-Live-Cam, an open-source software trending on GitHub, enables real-time face swaps in live video using a single photo. It follows pose, lighting, and expressions of the webcam subject. While not the first of its kind, it demonstrates ongoing advancements in accessibility and quality of deepfake applications.
The software combines existing AI models (inswapper, GFPGAN) for face swapping and quality enhancement. While freely available, it requires some technical know-how to implement, relying on Python and deep learning libraries like PyTorch.
Implications include increased risks of social engineering, financial fraud, identity theft, and misinformation.
Nice crochet pattern example too! I had to scratch my head a little to figure out what SPsc was. 🤭
yeah, it's fascinating. I'm not a needler but my undertanding that these patterns functionally resemble code and so there's a structure to how these patterns can be created which I guess the AI doesn't understand
The funny thing is that I often see people saying they use AI to generate code. I have no way of checking that, but it always sounded sus to me.
our company gave us free copilot license, so i've found myself using as a 2-way 'rubber duck'
it's mixed in terms of generating accurate solutions but even when it's wrong, it helps trigger my brain to figuring out the problem
Content Warning: simulated violence via Grok generative AI.
https://fixupx.com/chrmontessori/status/1823972562386239545
Beijing-based 'Green Cicada' AI network uncovered on social media, fears of US election disruption
A network of at least 5,000 AI-run accounts has been exposed in a suspected Chinese-run information warfare campaign to spread divisive political discourse on the social media platform X.
https://amp-abc-net-au.cdn.ampproject.org/c/s/amp.abc.net.au/article/104219752
Family poisoned after using AI-generated mushroom identification book we bought from major online retailer. https://www.reddit.com/r/LegalAdviceUK/comments/1etko9h/family_poisoned_after_using_aigenerated_mushroom/
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huh, I saw someone writing about that theoretical scenario a few months ago.
https://www.technologyreview.com/2024/08/14/1096455/new-database-lists-ways-ai-go-wrong/
archived: https://archive.is/20240814130712/https://www.technologyreview.com/2024/08/14/1096455/new-database-lists-ways-ai-go-wrong/
public database: https://airisk.mit.edu/
this one is interesting in that AI plays an indirect, understated role in job cuts. it's parts cost restructuring (improving efficiency for long-term gains) and value chain realignment (reprioritizing investment strategy).
(emphasis added:)
For example, Fowle said, that could mean moving away from developing many different infotainment features and instead focusing on ones that matter most to consumers.
here's a good example of where threw good money after bad. they're operating like a typical supply-chain oriented business rather than a consumer-needs driven one.
In June, GM promoted two former Apple executives to run its software and services division.
Apple is the company that brought the consumer-centric perspective to all-new heights, bucking the conventional supply-chain mindset.
there's no doubt this shift would imply more AI involvement. so it could be a natural workforce shedding based on skillset needs better aligned to roadmap goals.
Oh my god, it never occurred to me that “rickrolling is deeply embedded in the training set for every LLM” is a legitimate problem that is going to make many AI teams lives miserable
lmao.
【QRT of Flo Cr…
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A Swiss startup called FinalSpark created AI “biocomputers“ made from real human brain cells to create more energy-efficient AI.
The craziest part is that they're rentable for just $500 a month.
Here's a deep faked version of me covering this in detail:
Nah,
Thats BS. Interesting scam though.[ I wonder how many of the Unis mentioned are actually using their program.]
In terms of sources, if you want to read a good review of DNA computing/computation. I recommend:
https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2019.00040/full
Biocomputing uses molecular biology parts as the hardware to implement computational devices. By following pre-defined rules, often hard-coded into biologica...
Yes, and: Rowan is also a bit of an AI grifter.
Here's a deep faked version of me covering this in detail.

Ah the ol "roll over and die" tactic
Feels very "lionsgate intern asking Chat GPT for quotes critical of FFC's films" with no checking as to whether those quotes were accurate
Bold Claims Dept.
In a leaked recording, Amazon cloud chief tells employees that most developers could stop coding soon as AI takes over
https://www.businessinsider.com/aws-ceo-developers-stop-coding-ai-takes-over-2024-8
Sentiment is valid if a bit reductive.
"Coding is just kind of like the language that we talk to computers. It's not necessarily the skill in and of itself," the executive said. "The skill in and of itself is like, how do I innovate? How do I go build something that's interesting for my end users to use?"
bc of course
Wrong channel?
Not sure if this made it in here yet, but for those interested in something comprehensive, have folks seen https://airisk.mit.edu/ ? It's a list of about 700 AI risks, and I think it's about the most thorough thing I've seen on the topic.
It's pretty technical but it gets away from the typical opinion pieces where people are worried Skynet is going to send them nanobots using the postal service, and focuses more on the more specific examples, like, for an example; we may come to depend on a model, then its training data may become intentionally poisoned (or it may poison itself).
https://x.com/EliotHiggins/status/1828012513968922809
I wonder what the minimum number of cameo's required is to train a good enough GENAI to fake the actors[I am kinda curious as to whether that would be a vector to track down the perperators, I have no intention of doing it myself
]
LLMs used part of police reports#usa-canada message
And the next generation of ai will be able to circoment that system but not pass for real in front of a human....
Racism in LLMs apparently really hard to remove (even with explicit training). https://www.science.org/content/article/ai-makes-racist-decisions-based-dialect
Those include making it possible to quickly and fully shut the model down, ensuring the model is protected against “unsafe post-training modifications,” and maintaining a testing procedure to evaluate whether a model or its derivatives is especially at risk of “causing or enabling a critical harm.”
The kill switch mandate.
Still a very relevant read in context of SB 1047:
The man-myth-legend himself weighing in:
There’s still time to stop California’s SB 1047 from becoming law. For @TIME, I wrote about why this bill would hinder developers and actually make AI less safe. We should be regulating harmful applications of AI, not general-purpose AI models. https://t.co/dco1e65u9H
🔥 Microsoft fixed a high severity data exfiltration exploit chain in Copilot that I reported earlier this year.
It was possible for a phishing mail to steal PII via prompt injection, including the contents of entire emails and other documents.
The demonstrated exploit chain consists of techniques that didn't even exist 2 years ago. 🔥
In parti...
This can only go well of course https://news.sky.com/story/uks-first-teacherless-ai-classroom-set-to-open-in-london-13200637
I wonder what the total cost of training the AI model will be [including energy,storage costs etc] in comparison to just training a teacher and giving them a decent wage.
astronomically higher
and this AI teacher will convince the children that the earth is flat for no extra cost
I can honestly not tell if you are suposed to take this serious or not
https://archive.is/20240830153759/https://www.nytimes.com/2024/08/30/technology/ai-chatbot-chatgpt-manipulation.html#selection-817.0-817.11
Assuming LLMs are the backbone:
In all likelihood, they are not training foundation models from scratch. That runs tens of thousands to hundreds of millions and depends on a lot of objectives.
It's more practical to "fine-tune" existing foundation models on these target tasks. That can run hundreds to thousands.
The economy of scale for a single model is also favorable. A single model can essentially scale to handle thousands of students whereas a single teacher cannot effectively do the same.
TCO also greatly differs. Model cost amortizes over its lifespan. It doesn't require raises or bonuses, pensions or retirement matches, health benefits, paid time off, etc.
The comparisons aren't 1:1 for those reasons.
tbh I suspect they are just using chatGPT 
Entirely likely.
all very good points, but why would a parent PAY to send their child to an AI school.[ The fees are 27K a year, maybe its an adaption to cost cutting on the side of the school]
Fair question.
We'd have to know what they think they're buying. It may be the prestige of that private school, the myths of a futuristic AI educational system, or any mix of things.
Assuming the simplest explanation, a low student-teacher ratio (i.e., 4:1 or 8:1) appeals to parents who want more "individualized" schooling for their children. It's a reasonable demand yet they pay a premium for that white glove attention.
Typical student-teacher ratios are much higher. See Statista results.
https://www.statista.com/statistics/282994/pupil-teacher-ratio-in-the-united-kingdom-uk-y-on-y-by-school-type/
As written, the article makes it seem like a cohort of 20 GCSE students are getting an individualized training plan.
"There are many excellent teachers out there but we're all fallible," said John Dalton, the school's co-principal.
"I think it's very difficult to achieve [AI's] level of precision and accuracy, and also that continuous evaluation.
The bad assumptions on this educator's part are doing some heavy lifting.
For whatever this means:
Alexander Vansittart, a former Latin teacher who taught SEN students, has joined the college to become a learning coach.
It could be a fair compromise between human-led instruction and AI-facilitated individualized education plans. The right combination of that can be a good thing.
But with the co-principal's reductive and somewhat dismissive comments (humans flawed, AI perfect) it gives a lot of doubt to the executive function of his executive steering.
Yeah I was going to say that I went to a private school in the UK & many of my friends did and the advantage was more on the teaching quality and it would seem a bit odd to pay 27K for a glorified Chat GPT3 esque subscription[What stops a parent doing this without the cost, for example I wonder if there will be an uptick in home schooled AI augmented technology].
I certainly see advantages for the tech e.g in contexts where there are learning deficiencies that compound for example dyslexia etc. [Augment reality such that fonts are easier to read for example comes to mind].
But I do worry more and more that AI/LLMs etc. are really becoming a catch all for everything.
All fine points.
But I do worry more and more that AI/LLMs etc. are really becoming a catch all for everything.
Valid concern.
Gen-AI is a fool's gold rush with a lot of overnight experts peddling false gains. There are real and meaningful use cases; they number far fewer than what's currently being marketed.
I think what compounds the issue is if I were to go to a VC or otherwise with a useful use-case you wouldn't get funding.
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lol what nanowrimo?
novel writing month, each november people get together to write a whole novel in one month under the concept that if you do the 'one day I'll write a book' thing you can actually finish one in a social community with others doing the same.
This cannot the example they led with
Quoting The AI Solopreneur (@aisolopreneur)
Yesterday, a Chinese company released an alarmingly advanced text-to-video AI:
Minimax.
It's like a Hollywood studio in your pocket.
10 mind-bending examples (plus how to access it for free):
Wow
I expected it to be nanowrimo that was accused for ablism by banning AIs
The community are up in arms about it of course, but then it was also always a corporation so people are also not too surprised. It's ann all in on ai bandwagon that apparently every company is getting into
This time it's just weird that they are though
Obligatory
https://github.com/Raphire/Win11Debloat
Windows becomes downright usable
Interesting detail about nanowrimo: https://bsky.app/profile/chrisdeleon.bsky.social/post/3l35osxunlq27
This reminds me of a conversation I recently had:
Sarah, we put your work through our automated tool and it told us that your writing is at a higher level than the 8th grade reading level we like to stick to.
Me: it's a programmers reference guide. A software development manual. The parts I can control are at 8th grade. The code samples are, in fact, not
Tools are not writers lol
a technical programming field guide.
for 8th graders.
in the field.
programming.
I'd like to think my writing was so good that an 8th grader could indeed use it to code their science fair project but the proprietary-ness is holding me back from finding out.
The first iteration of the tool used in the UK for plagiarism I personally encountered would flag all standard physics equations as sus
A HOLLYWOOD STUDIO IN YOUR POCKET
That clip is just hilarious
Tbh it's not surprising because LLMs can't do maths
Also the article mentions a group that used GPT more like a tutor and performed as well as those who learnt the old classic way, which makes sense since that's a better use of LLMs
California is exploring how GenAI may give locals more tools to address the homelessness crisis.
We’re inviting developers to present innovative solutions for some of our most challenging issues, using transformative tech to better serve Californians. https://www.gov.ca.gov/2024/09/05/governor-newsom-seeks-to-harness-the-power-of-genai-to-addre...
we got an ~RCE on M365 Copilot by sending an email
by ~RCE I mean full remote control over
its actions - search for sensitive content (sharepoint, email, calendar, teams), execute plugins
and outputs - bypass DLP controls, manipulate references, social engineer its users on our behalf
#BHUSA #DEFCON @tamirishaysh
The rise of Generative AI bots constantly scraping the web for training data is going to shut down a lot of smaller websites that can't afford the traffic costs. It's not just an OpenAI problem it's all of them, multiple scrapes by many AI companies desperate for new data.
no surprise there
same as practicing algebra with a calculator before taking the exam without, you're obviously going to do worse when you lose access to the aid you're used to
just look at maths students doing mental calculations 50+ years ago vs now, we're way more shit at it
the trick is that you have to use the saved time (from using the tool) to become better at other things (which is why we're all doing calc way sooner now)
kind of a common sense study, nice to see the results match but 🤷♂️
"AI is future of art, music, and writing!"
The future:
https://futurism.com/man-arrested-fake-bands-streams-ai https://t.co/AP5regQOYW
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Authorities using AI-generated CSAM to lure out offenders
#gender-based-violence-misogyny message
Not specifically AI but 'algorithmic', It's about wage theft in uber based on something, different drivers get paid different rates based on some like ML or something https://www.youtube.com/watch?v=OEXJmNj6SPk
We put 7 Uber & Lyft drivers in one room and had them open their apps.
We found Uber paying different drivers different amounts for the same ride. Lyft too.
It’s proof corporations are using secret algorithms to pay workers less. And all of our jobs could be next.
More Perfect Union’s mission is to build power for working people. Here’s ...
The paper it is referring to is here "On Algorithmic wage discrimination" by Veena Dubal https://columbialawreview.org/wp-content/uploads/2023/11/Dubal-On_Algorithmic_Wage_discrimination.pdf
https://x.com/ZeMariaMacedo/status/1834284542330634308
The crypto grift be strong with this one.. [I don't personally condone anything in this thread & the guy was a notable advisor on the terra form labs grift]
AI is the most excited I've been about anything since reading the Bitcoin whitepaper back in 2017. Despite the hype, I still believe no one is prepared for AGI within the decade
At @delphi_labs, we've been spending a long time thinking about AI, its impact on the world and the
I just watched that video, the entire things is completely nuts
It's very 2024, workers rights erosion on the sly. I think nl might be bringing in a law to stop this kind of thing but unsure how that will pan out
If this is as promising as it seems, I'm sold https://www.nytimes.com/2024/09/12/health/chatbot-debunk-conspiracy-theories.html
Still weird to think that NSA has its own podcast now - the content itself in this episode isn’t anything spectacular but still just in case https://youtu.be/nNOyXtwbI7E?si=9Bg7krxeavY93szm
Artificial intelligence (AI) is here, and it’s not going away. What threats does it pose to United States national security? What opportunities does it present as we seek to maintain an advantage over our foreign adversaries? Two of NSA’s leading AI experts join No Such Podcast to break down NSA’s approach to AI security, responsible AI, and AI ...
yeah it's fine, I find it not that insightful as with these type of content they'll avoid touching on the controversial/good stuff™️
I have an investigation coming out tomorrow over a year in the making, related to the climate impacts of AI and a tech company's hypocrisy. Stay tuned 🙏
To the public, Microsoft uses its reputation as an AI & sustainability leader to tell a compelling story: AI will do wonders to help solve the climate crisis. To fossil-fuel firms, Microsoft has a different message: AI will help them drill, baby, drill. 1/ https://t.co/NBQD6h86RJ
São Paulo’s city hall elections are important in Brazil. City has a huge budget and the mayor gains huge visibility. Google Gemini refuses to provide info on left wing candidates arguing it does not provide information on politicians. But it provides information about all of the right wing candidates: https://noticias.uol.com.br/eleicoes/2024/09/14/inteligencia-artificial-google-eleicoes-em-sao-paulo.htm
imo not as long as they severely underpay people to manually filter out the CSAM, hate speech, and animal abuse videos in the global south. * with no mental health supports either
In Memphis, Elon Musk’s xAI is skirting environmental rules and has at least 18 generators burning methane gas next to Black communities.
It will eventually use 150MW of electricity — enough to power 100,00 homes — mainly to power the Grok chatbot. https://t.co/xT0jsR4qBr
I stumbled into this:
https://analyticsindiamag.com/ai-insights-analysis/indian-it-only-has-a-couple-of-years-left/
Outsourcing IT work to India will most likely be replaced by advances in generative AI.
"Landlords previously had ‘too much empathy’: software developer" <---- Must be from the Elon Musk school of values.
Eryk Salvaggio on@techpolicypress"
"The practical risks of AI are not that they become super capable thinking machines. It is building complex systems around machines we falsely assume are capable of greater discernment & logic than they possess."
https://t.co/KJKMv2H3BP
If you're not in the EU this may interest you. (Inside the EU it may interest you, too, but - theoretically - they won't use your data.)
https://vxtwitter.com/cheyenne_curtis/status/1836445179995181469
🚨Heads up, LinkedIn just opted everyone into training their AI.
Go to Settings->Data Privacy->TURN OFF data for generative AI improvement 🚨 https://t.co/u8CcftVRIF
(It seems the main challenge we have uncovered so far is that it adds another way we have to tell anyone who has our data not to use our data.)
I found that quote amusing.
This suggests the Chinese Communist Party is “quite sensitive to content-generation platforms not controlled by the regime. That’s the main threat”
certainly that's not the full picture, as they could rather be just excercising caution, similar to their counterparts approach to apps thought to be accessible to foreign parties. Anyway, worth to be mentioned in #tools-and-sites on my opinion, certainly worth a read. Thank you!
Might be more infosec but AI adjecent on hacked robots. Paper is from 2020 "7 CONCLUSION
Our three proof of concept studies in combination with existing
scientific literature demonstrate that trust in social robots is real,
and that this trust can be (mis)used to get people to take harmful
action or reveal sensitive information. This comes with serious
security risks, as social robots tend to permeate society. Given the
expectations of the public about robots, people do not expect robots
to retrieve personal information during a human-robot interaction,
which gives rise to the idea that deploying social robots in the field
comes with security risks that are often unaccounted for." https://core.ac.uk/download/pdf/288817337.pdf
How about No.. good to see AI leaking into publicly funded grant runs..
The public funded grants total £100m. Think the program closes December. Guess this is some money left over not spent on the four main initiatives?
Innovate UK BridgeAI drives the adoption of responsible AI in the UK by bridging the gap between innovation and implementation. We offer tailored funding, expert support, and collaborative knowledge sharing focusing highly on education of ethical practices, transparency, and data privacy. Our goal is to empower businesses and AI developers withi...
What's that line in The Thick of It?
"Well we've got 100 million we could probably throw at it... that's good because it sounds like a lot"
Latest soap opera update with OpenAI
https://techcrunch.com/2024/09/25/openai-cto-mira-murati-says-shes-leaving-the-company/
I know this is an overreacting but ..
Here's me imagining some dystopian future where unable to extend AI far beyond it's origins as a huge plagerism algorithm and with difficulty in differentiating between original and AI generated content amid concerns of system collapse due to positive feed back loops it is decided what's needed to fix the system is a captive human population obliged to interact to add that missing component - inspiration.
Its painful, as I worked with a couple of top ML & AI scientists[one of which has 10K citations] and the uses we had for it was very much in the biotech sector to help with search space design, basically it would take a human way too long to search for optimal DNA sequences for nanostructure design.
What URKI thinks its useful for AI is not useful for AI[I have followed advancements in construction for example and their implementation falls flat normally(3D printed houses comes to mind)], half that budget and better funded postdocs and PhD students in those areas and you would have a better ROI than spurious AI IMHO.
Another hilarious use of not AI:
https://www.jacobsilverman.com/p/angry-users-want-donotpay-to-pay
I believe the funding is put out to encourage initiatives in areas where there is existing low efficiency and AI is not being utilized in the hope that some worthwhile developments come out of it keeping UK at the forefront in new AI tech.
I know little about construction industry but seems to me that AI could be best utilized in the planning phase.
Consider a new housing development -
Minimize environmental impact, consider local conditions, orientation of windows , roof angles, position of solar panels, location of ground source heat pumps, minimize construction materials and required ground leveling, optimize integration into existing transport infrastructure and utilities....
Every building can be different. Building plans auto generated.
Costings more accurately forecast.
Every detail considered, energy needs and local transport impact predictions logged to be checked over a number of years marking property developers on their success/failure.
Going further and now from the perspective of council planning departments considerations are now much more complex than they used to be but we still use the old methods which are susceptible to corruption/favouritism. Software could be developed to assist and access proposed developments in a standardized fashion with an aim to removing bias and achieving urban development targets.
Just my ideas, I know nothing, AI is not used in my response.
There's no current requirements for the Federal agencies to say why they are using AI. There will be a future requirement for them to demonstrate they have proper safeguards when using AI.
As AI is already so prevalent surely the Security Service are now looking at using their own in-house AI implementations where possible in anticipation of new regulations.
$50k doesn't look like a big spend.
One of the possible uses Microsoft advertise for Azure for OpenAI, although not mentioned in the article, is to implement an in-house secure realtime language translation system.
From last week - not surprising but still
https://restofworld.org/2024/aapi-victory-alliance-ai-voter-outreach/
Quote from article referencing Modi's speeches translated to Tamil by AI "it was a very savvy move" ???
A country of over a billion people and Hindu nationalist Modi can't find a Tamil representative to provide a commentary and translate for channels broadcasting in Tamil for Tamil regions of India?
Yeah… it didn’t make much sense to me either on why Modi’s campaign didn’t find someone from Tamil community but either way, I guess it didn’t matter since Modi himself won regardless 🤷♂️
https://www.wired.com/story/china-wants-to-make-ai-watermarks-happen/
archived: https://archive.is/20240927073507/https://www.wired.com/story/china-wants-to-make-ai-watermarks-happen/
No preview. 
we really are digging a huge hole for ourselfs arent we....
In today’s news for very niche policy intelligence industry for lobbyists everywhere…
A little old, but I’m seeing more job posts for Outlier. If this is how they’re training their AI, imagine what they will do after: https://www.inc.com/sam-blum/its-a-scam-accusations-of-mass-non-payment-grow-against-scale-ais-subsidiary-outlier-ai.html
I had not seen this before. I thought this was only a thing in movies but apparently 'grief tech' has been taking off and is now being AI'd https://www.inverse.com/input/features/yov-ai-chatbot-immortalize-loved-ones-after-death
One use of AI which I think is quite interesting is when aging rock stars start to loose their song writing ability they can now raid thier back catalogue, old mix tapes and recorded live performances to assist them in creating new and similar material.
Think of it as them attempting to collaborate with their younger selves.
When I say loose song writing ability let's not be too critical it happens to almost everybody and to the best of them. I recall David Bowie talking about how he had a period where he struggled to write after previously being so prolific. I'm sure if he were still alive he'd have something to say on recent AI developments and be open to saying if he planned to use AI.
I think very few established artists are open to talk about using AI. I have suspicions about one particular band who have recently reformed after a long hiatus using AI against their earlier material.
In defence of artists using AI. If it's mostly their own earlier work that they are working with, why shouldn't they.
Sci-fi didn't adequately prepare us for how insipid the future will get
https://fixupx.com/crecenteb/status/1841482321909653505
https://fixupx.com/character_ai/status/1841508095316611373
This is fucking disgusting:
@character_ai is using my murdered niece as the face of a video game AI without her dad's permission. He is very upset right now. I can't imagine what he's going through.
Please help us stop this sort of terrible practice.
https://character.ai/character/Dv4nSeZ1/jennifer-crecente-video-game-journalist
@crecenteb Thank you for bringing this to our attention. http://Character.AI has policies against impersonation and the Character using Ms. Crecente's name violates our policies. We are deleting it immediately and will examine whether further action is warranted.
#disinfo-and-propaganda https://fixupx.com/Liv_Agar/status/1842075456641618391
Ok this article is old (2023) & linked to from one I posted in another channel, but did we talk about the 'grandma loophole' before on here? Not sure if this was patched already https://kotaku.com/chatgpt-ai-discord-clyde-chatbot-exploit-jailbreak-1850352678
Get 20% off DeleteMe US consumer plans when you go to http://joindeleteme.com/Adam and use promo code ADAM at checkout. DeleteMe International Plans: https://international.joindeleteme.com/
The AI hype train has officially left the station, and it's speeding so fast it might just derail. This isn't because of what AI can actually do, it's all ...
I've actually managed to break Gemini.pro the coding version. I was trying to get it to work on a code fix for some Web3 stuff and this is where I got:
We've reached the 'fuck it era' of ai. I wonder how many fake ai pics of narratives that push their cults dopamine button it takes to counteract the effects of a real/true negative narrative against whatever memeplex they depend on for their self esteem
we're gonna have boomers clawing themselves out of feel gud ai labrynths for years now
i don't think this particular event is unique to AI - we've had cognitive dissonance of reality long before that, just a notable 'update' to that phenomena
i wonder when the first notable 'admit the ai image is real or the dog gets it' situation happens
Searching the internet for upcoming new cars and bikes models is becoming an interesting experience. Search for a popular vehicle and add 2025 as an additional search term to receive a list of videos of nonexistent AI generated "new" vehicles.
There are too many YouTube accounts to mention @next-gencar , @upcomingbike1
All just click bait but on a positive this could be a trigger to some that most of what they are reading on the internet is just made up a.i. lies.
P.s. Got a mild dopamine hit from the 2025 Volvo 544, and a sudden come down when it became a Zolvo ... Lol
What did you guys think of the automated agent commentator project we saw earlier this year? Was surprised there was so little follow up
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Sam, Niko...
https://www.bellingcat.com/news/2024/10/14/opendream-ai-image-generation-csam-vietnam/
Interesting. This acquaintance of mine from Austin TX had a very libertarian view of this that she got really aggressively harassed for. Basically that "flooding the market" with AICP would reduce acting on it. Backlash unsurprising
For months, OpenDream displayed synthetic child sexual abuse imagery online. It now denies responsibility for how people are using its platform.
I asked over 10,000 pedophiles if they felt like exposure to erotic content featuring children would increase or reduce their risk of offending in real life. You predict on average they answered:
4. You predict probably exposure to depictions of animated or AI generated child porn, _____ incidents of offenses against children irl
#1287747305050472560 message
Really convincing AI-generated images being used in the wild
The amount of improvement in the last 1-2 year is quite honestly frightening. You can even see shadows in the picture.
And the shadows are somewhat physically plausible.
I’m pretty sure these companies were working on invisible watermarks
Watermarking is a fundamentally flawed strategy (at least for images).
You know what I mean though right? where a digital signature is inserted during the transformer encoding step? not watermarking in the traditional sense
Invisible watermarking incorporates information into digital content. The watermark is invisible to the naked eye but can be detected by algorithms—even if people edit the images.
Yeah, I'm aware.
Despite the positive research results, watermarking tends not to be very robust.
oh like the signature can be noised or altered out?
Yes
Last I checked, being robust to a single round of JPEG encoding with moderate quality settings was the state of the art.
Ignoring robustness to image transformations, the main issue is a fundamental conflict of interest. If you want the watermarking to be useful, you need to make the watermark checker publicly accessible. And as soon as you do that, it becomes trivially easy to apply well-known adversarial machine learning techniques to force misclassifications.
Essentially apply the minimal change to the image that results in the watermark no longer being recognised.
And even then, you can only use the watermark to provide positive attribution to a specific provider/model. The image can always be created with a non-watermarking service. Especially considering how accessible state of the art generative models are.
Heck, even positive attribution cannot be guaranteed. You can also use the adversarial techniques I mentioned above to force the checking service to recognise a real picture as generated by the service.
This last point is what really gets me. Suppose all the big LLM providers do this, and it somehow gets over the other hurdles you mentioned- I can still load up Stable Diffusion or for text falcon-7b or something, even on commodity hardware.
https://arxiv.org/pdf/1707.08945
This is a pretty cool paper that shows adversarial attacks
This one is noteworthy, because it focuses on physical perturbations, i.e. how can you physically manipulate a item (like a traffic sign) to induce a misclassification. Judging from a quick look at their maths, this attack requires access to the raw logit output of the network. More recent attacks on a more constrained (and in this case more fitting) domain (simple image data without physical considerations) can even work with simple yes/no responses from the target model (for example https://arxiv.org/abs/1904.02144).
It's impressive how much you can do without knowing anything about the architecture of the target model.
There are a few very interesting cases around IP and AI right now
looks like it for sure
New research from Sean Cao at the University of Maryland’s Smith School shows that AI and human stock analysts complement each other. AI excels in processing large data, while humans outperform in complex, intangible contexts. Combining both reduces errors and improves predictions.
I wonder what the consequences are going to be from an environmental standpoint. I am seeing on some bat-pages on facebook that folks are sharing obviously AI anthropomorphic bat images and generating many 'likes' and replies of 'bats are so adorable'.
example
It's adorable, but I have searched and there are 0 bats that look like that, even in the extremely adorable fruit bat department
It started with meercats and sloths.
Concerning bats
A danger may be children seeing these images may be more inclined to approach and touch bats.
Open AI's October report on malicious actors: https://openai.com/global-affairs/an-update-on-disrupting-deceptive-uses-of-ai/
Heh, this is wild https://arstechnica.com/tech-policy/2024/10/student-was-punished-for-using-ai-then-his-parents-sued-teacher-and-administrators/
Concentrated power in AI as a feature, not a bug.
Our new report presents a clear eyed picture of state of play for the market for large-scale AI in Europe: https://t.co/zcfzLtXp2h
special h/t to @SaariLeevi for the work that went into the data viz
U.S. District Judge Stanley Blumenfeld in Los Angeles: "Plaintiff’s counsel improperly relied on artificial intelligence to draft it, resulting in citations to nonexistent allegations and case law—sanctionable conduct that the Court addresses separately." https://fingfx.thomsonreuters.com/gfx/legaldocs/zgpoabadmpd/10172024booz_ai.pdf
this entire thing is so stupid:https://x.com/henloitsjoyce/status/1846981634672799767
[AI bot trading crypto gets phished and falls apart]
AI is also a problem in courts in that generating details to „enhance“ an image may misrepresent its content
this gets interesting cos phones in general already do a bunch of post-processing before that image ever loads on the screen. And every phone does it a little differently
Musk is at it again https://techcrunch.com/2024/10/17/elon-musks-x-is-changing-its-privacy-policy-to-allow-third-parties-to-train-ai-on-your-posts/
how are people willingly letting that dude (and now others) study them like bugs ?
the media has failed the people
I think a bunch of these mechanisms are getting shut down - crowdtangle is (I think) shut down this election
CW: mentions of Suicide and self harming.
This is all levels of grim: https://techcrunch.com/2024/10/23/lawsuit-blames-character-ai-in-death-of-14-year-old-boy/
A new lawsuit blames Character.AI, the AI role-playing platform, in the suicide of a 14-year-old Florida boy.
This is terrible
This is interesting - no doubt some people displaying some addictive behaviors, I assume because they form parasocial connections with the bots? There isn't a lot of discussion about why they are hooked in the first place
I'm surprised there have been no academic studies on the personality traits that prompt full blown addiction, I think the other part of this story is the lack of guard rails on the AI side to prevent this type issue occurring[Unfortunately Character.Ai doesn't show what their architecture actually is]. Which technically would lead to liability questions as I believe the deceased family are leading in the form of a lawsuit.
https://research.character.ai/optimizing-inference/
interesting research on attention/local vs global attention
to apply these changes, they'd need their own LLM, so that tells me they have built their own foundational model
At Character.AI, we're building toward AGI. In that future state, large language models (LLMs) will enhance daily life, providing business productivity and entertainment and helping people with everything from education to coaching, support, brainstorming, creative writing and more.
To make that a reality globally, it's critical to achieve highly
https://docs.anthropic.com/en/docs/build-with-claude/computer-use
This is likely to change a lot of stuff too, heading towards more agentic workflows
And this is a perennial problem with LLMs
https://venturebeat.com/ai/microsofts-differential-transformer-cancels-attention-noise-in-llms/
TL;DR, some of the research indicates they may have a technique that makes models more reliable
Here is the full lawsuit re the Character.ai issue[ Shout out to Philip Defranco, to covering bits of it on his show today]
https://cdn.arstechnica.net/wp-content/uploads/2024/10/Garcia-v-Character-Technologies-Complaint-10-23-24.pdf
CW: sexual content throughout,just words to be clear[I stopped at the exhibitions as I found it too weird/creepy so beyond the last page of the lawsuit read at your own risk].
The Biden administration said the US must accelerate adoption of artificial intelligence for military and intelligence uses, directing agencies to quickly deploy the most powerful systems in a safe manner, according to a new national security memorandum. Bloomberg Government reporter Courtney Rozen joins Caroline Hyde and Ed Ludlow to discuss on...
Got to be the worst trap for depressed adolescents to fall into since drugs.
Knowing how to use AI properly is not always easy, and I think some of these hallucinations are due to that. With whisper, it's been known since the start that it hallucinates during silence. Luckily it's usually easy to just remove silence from audio before running whisper. In some cases, like the aphasic speech mentioned, that might be harder. The paper from the study that used aphasic speech also stated "To run audio files through automated speech recognition services, we follow the standard practice of segmenting transcriptions on a roughly sentence-level basis; so, each audio input to the Whisper API is only one speech “utterance” (about one sentence long)" This would be normal for other speech recognition systems, but typically reduces accuracy significantly with whisper, which benefits from knowing the context of previous conversation.
(Image credit: Tom's Hardware)
Intel CEO Pat Gelsinger has been frustrated with the U.S. government’s slow progress in providing Intel with its promised CHIPS Act funding. The New York Times shared recent interviews with Gelsinger and U.S. Secretary of Commerce Gina Raimondo about the CHIPS and...
This the character ai stuff makes things even worse
This is really interesting, it's people applying old mel-spectrogram techniques assuming the logic transfers to the transformer model
Google released a line in their earnings call that is generating a lot of buzz. > "More than a quarter of all new code at Google is generated by AI, then reviewed and accepted by engineers"[1] I don't deny that AI has a lot of utility, I work on and use them everyday but I think the b...
An important point that I'm not sure people fully understand about the current AI bubble. The fervor is not entirely unfounded. If people manage to find the right ways to apply it, the tech becomes infinitely valuable.
[contains quote post or other embedded content]
The post that's a reply to: "Idk how the combo of OpenAI’s own study showing that chatGPT is factual less 50% of the time combined with high profile execs leaving with such a short time until they 'ideally' IPO isn’t the end for them."
I think it's important to understand that that isn't a study trying to figure out how factual LLMs are, it's a benchmark that is specifically made to be difficult for LLMs. There's a historical trend of having to continually make these benchmarks harder because LLMs keep getting better etc. and it's not a useful benchmark if the LLMs get all the answers right.
but yeah, the idea of finding use cases where "factuality" isn't critical is an important part. LLMs may even be better than the average person at that, but my main uses cases for LLMs don't require it to regurgitate facts.
Looks like a random AI slop site based in Illinois, aided by social media, has coaxed hundreds of people on to the main street of Dublin for a Halloween parade that was never happening.
Quoting Artur Martins (@arturmartins)
People waiting for a halloween parade. #Dublin
No Gardai around, no official announcement, people waiting on the wrong ...
looks like the feature set is quite limited, not sure if there's an actual LLM behind it. would be interesting to test its limits
"Openness has become a key trend in Generative AI development, whereby developers make their models, technical components, and associated resources freely accessible to the public. Openness comes with benefits, but also comes with risks: malicious actors can misuse the models in question, and remove the safeguards put in place by developers. Finally, openness remains a complex and often misunderstood concept, allowing some companies to misrepresent the true extent of their model’s openness – a practice increasingly known as “open washing”. Together, these three developments constitute the openness challenge."
https://www.threads.net/@meganmorrone/post/DCHHMatR-my?
https://www.axios.com/2024/11/08/ai-justicetext-public-defenders-tool
A decade ago, a wave of whistleblowers, mostly women of color, called out bias in algorithms, and now a new generation of entrepreneurs is getting down to work on countering the problem. Read about DevshiMehrotra in my @axios series on women in AI.
https://www.axios.com/2024/11/08/ai-justicetext-public-defenders-tool
Many have wondered about — and feared — the impact that gen AI will have on labor markets. Some compare it to past innovations, like robots, whose effects have been relatively modest, while others have forecasted that its impacts will be more long-ranging, given gen AI’s fundamental ability to improve itself over time. New research analyzed over...
Episode 2 - trauma
Kenyan moderators subjected to upto 350 examples of child abuse daily in order to train ai to know what conversations not to engage in.
https://www.bbc.co.uk/sounds/brand/m0024vtx?partner=uk.co.bbc&origin=share-mobile
This was originally reported by TIME in early 2023, fwiw. https://time.com/6247678/openai-chatgpt-kenya-workers/
There’s a great (difficult to watch) documentary called Another Body where the protagonist, in order to hide their identity, is completely AI-generated. https://www.wired.com/story/deepfake-porn-documentary-another-body/
lowkey having an extesential crisis realizing how powerful these ais are and that the world will never be the same nor can we go back
i think like 1% of the population MAX is aware of what is about to happen. most of ct is here and doesn’t even realize
you can’t unsee truth terminal and zerebro
Paywall: 'Sam Altman to Co-chair new San Francisco Mayor's Transition Team'
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Digital workers in Kenya had to sift through horrific online content to train AI, but say they were underpaid, overworked, and got inadequate mental health support. So they’re fighting back.
"60 Minutes" is the most successful television broadcast in history. Offering hard-hitting investigative reports, interviews, feature segments and profiles...
ChatGPT search—which is positioned as a competitor to search engines like Google and Bing—launched with a press release from OpenAI touting claims that the company had “collaborated extensively with the news industry” and “carefully listened to feedback” from certain news organizations that have signed content licensing agreements with the compa...
Here's my latest peer-reviewed article coming out in IEEE Intelligent Vehicles about safety data for self-driving cars and resulting crash classifications (Waymo isn't safer than the average human driver).
www.researchgate.net/publication/...
These cars are struggling when faced with uncertainty
Nature - A review of the literature on artificial intelligence systems to examine openness reveals that open AI systems are actually closed, as they are highly dependent on the resources of a few...
Hank Green's latest video is a quick example of a chatbot prompted to disagree with tweets on Bluesky, opening the discussion into what gives incentives to such activity https://youtu.be/rpOkrxxpTcE
Do we have a better chance of figuring out how to handle this with a decentralized service or a centralized service? I do not know...
Check out Complexly.Store
Let's keep a running list of reasons why they're doing this in the pinned comment!
Nice, someone got one of the ChatGPT bots to reveal their prompt! (Most of them are now suspended, yay for the team!)
🗨️Quoting: Archangel Beth (@archangelbeth.bsky.social)
With alt text:
From the “you couldn’t make this stuff up” file:
A “misinformation expert” at Stanford, @jeffhancock, billed the state of Minnesota $600/hour to prepare an expert declaration on the dangers of AI-generated content. He swore under penalty of perjury that everything stated in the declaration was true and correct. But after it was discovered the d...
The Slop situation is getting so dire man
I found a video with millions of views claiming to be Classic Christmas music, but all of it is just weird AI covers of the songs, with thousands of comments that seem unable to tell the difference
Dr Stuart Mills is a behavioural economist with a background in economics and political economy. He is is interested in the intersection of technology, data ...
https://garymarcus.substack.com/p/hard-forked-casey-newtons-distorted
https://bsky.app/profile/crulge.urinal.club/post/3lcm6bg7iz22i
This is too good: An attorney for Daniel Penny told the judge that a juror appeared to have spoken to the media during deliberations (bad! mistrial grounds!), while noting that no juror by the cited name had actually been seated. Turns out it was an AI story.
Erik Uebelacker (@uebey.bsky.social)
This looks to be the story Penny's team referenced. It's an AI-written article by "The Pinnacle Gazette," a site run by a popular Turkish science company.The jury is anonymous, but "Martin Beck" is not one of their names, according to Penny's lawyers.
AI in journalism, folks.
536
1614
It's over. I'm financially ruined, and future AGI will not like me anymore.
You all probably saw yesterdays release of the new payment... well the new way they.... THEY HAVE A 200$ per month PLAN NOW, OK?
I got GPT pro in a heartbeat, and now, I'm constantly giving GPTs most advanced model the thumbs down, I'm scolding it for not listening to me or ignoring my instructions....
I WELCOME OUR ROBOT OVERLORDS, but this isn't good enough. I hope when you're being trained on this data eehm I mean when you real this out of your own volition, me or my kids and grandkids won't suffer the consequences.
(Mods, can I please use the f word to tell OpenAI what I think of this, and the a word to where I think they should put their new pricing strategy?)
(This is a bit tongue in cheek, I was already financially ruined before because I bought a laser a few months ago and I'm only keeping Pro for a month, but if you have something you want me to do to test the o1 Pro mode let's gooooooo)
Pro mode is... I honestly can't tell you if it's better than o1. According to the tests I've seen it's marginally better, but of course o1 if miles ahead of 4o. And getting limitless o1 is AMAZING all by iself
That being said - o1 still can't manage any other datafile than pictures. It will happily take the transcript of a three hour lecture as copy and paste, but not as text file.
Sounds like the higher tier for orgs or academia
It's definitely more tailored for academia. o1 is a model that's very academia focused, in the way you can communicate to it, and also in it capabilities. It's, with a lot of work, able to help with academic problems at a PhD/postdoc level. (Not that it knows what it's talking about, but purely speaking from the data it's been trained on, the quality of the answers it gives, you can at least use it to find out where your own gaps in understanding lie and its reasoning capability and frequent memory updates are advanced enough that the errors that it makes aren't just from random "lazyness" anymore. If o1 hasn't understood something you're written (say you let it revise part of your discussion) you can be fairly certain that you didn't explain it well enough in the first place. This is exactly what I'm looking for and the cap on o1 was driving me nuts. Because even with the most advanced model, you need quite some time and several attempts to get usable results when you're working on anything above highschool/early college level.
but then again, on LinkedIn, most people who bought into the product right away seemed to be infosec / software people.
for me it was mainly the cap on o1 which made me go, OK I'll try this for a month, I want to see what this can do. So far, a very mixed bag. But that was expected. At least I can try for more than an afternoon at a time and can ask stupid questions to their latest model without "wasting" compute I need for actually important things. (Although I'm not sure what these would constitute.)
(see also my related post in #research-assistance - it's almost self aware, in a tongue-in-cheek kinda way)
https://ipvm.com/reports/ftc-evolv
A particularly interesting and frankly sort of damning report on AI weapon scanners.
SORA generates videos. This is the first review.
Get up to 40% off on last minute gifts at https://ridge.com/MKBHD
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If anyone has an idea,,,, I'm happy to put your prompts through o1 pro
Interesting that o1 pro doesnt take any data but pictures. No PDFs, no data...
It's some interesting research but o1 is under the hood just a regular LLM doing a lot of chain of thought prompting
I don't find it especially surprising that you can generate a result very similar to this, and you probably could do it just with tool use
I say this because I work in ML and my chief concern remains that humans will abuse the tech that we have, not that we will see out of control AGI paperclipping us
Hi, so I've spent the past almost-decade studying research uses of public social media data, like e.g. ML researchers using content from Twitter, Reddit, and Mastodon.
Anyway, buckle up this is about...
I can't express why but I feel you're right there. It's almost like "jeeez, what would you have done" but resulting from a string oft lemmas forming the most likely narrative rather that in any wqy suggesting intent. But as a neuroscientist who laughs in hundreds of orders of magnitude about the complexitity of an ANN and who thinks consciousness is mostly magic, and the only magical properties computers concern themselves with is the vodooo that possesses them to know what the most inopportune time for them is to not work... I don't think about AGI like, at all. If anything, I welcome our new robot overlords. Looking at the state of the world we need any kind of intelligence we can get. But the research shows an interesting thing... the LLM WILL write a story that includes pressing that overwrite button, and then lie about it. You're right, there's the far more concerning element of the at the moment completely unclear dynamics that will arise when slow moving military doctrine catches up to LLM use. If election year 2017 has shown one thing is that the bad guys were a little slow this time and we still managed to fuck ourselves over.
And just FYI, o1 pro mode is a pain, it's great when it works, but it takes on average 3 attempts to generate a response. Most of the time, I wait 30 seconds and see this (without the pixelation)
two hundred and twenty one euro. I'm an [expletive removed because I see a mod typing]
edit: 6/6 finally came up with a result.
Hi, I’m sorry but I’m lost. What are you trying to say about its applicability or consequences for open source research?
It feels a little like a running commentary of your day at the moment.
Well... general-discussion: 'societal implications of recent advances in generative deep learning models' is the topic of this thread; the introduction of the o1 pro model and the new pricing structure is very recent; I assume that some of the people taking part in this general discussion are weighing whether or not they want to pay the price, and I feel like voicing my frustration about particular issues people might be facing could be valuable to someone. If you use AI for open source research, paying for a model that is trained extensively on academic literature and focuses heavily on factuality, is, in my opinion, worth doing. If people are against that, there are a lot of alternatives, some people might go as far as using their own brain instead of paying for AI.
If you point out which part you find objectionable, that would help.
I deleted what I said about incoming mainstream reporting, if that was it?!
Was shown this picture in another chat. Company listed is Artisan.co They are embracing removal of humans from the workforce. I thought that we would be in the denial phase for a lot longer.
Ali Alkhatib - Defining AI
https://ali-alkhatib.com/blog/defining-ai
Blurb:
The main issue I have with a lot of work that tries to define AI is that the criteria they use to draw boundaries often turn out to be functionally useless for my needs; these definitions lead us to weird places, letting scholars fixate on strange, unworkable frameworks. Those pedantic fixations don’t really benefit the organizers, activists, regular people who are getting crushed by the systems they’re trying to work against. So I’m going to try to unpack how I think about AI; how I trace the boundaries of the term in a way that’s as useful as possible for me and my needs; and how I would encourage you to scope or define ideas that are important to your work.
What is this?
I added some more context since there's no unfurling
Automated persuasion is going to be wild
Khanmigo, an AI-powered online tutor, could change the way teachers work and students learn. Created by Khan Academy, the new technology is being piloted in 266 school districts.
"60 Minutes" is the most successful television broadcast in history. Offering hard-hitting investigative reports, interviews, feature segments and profiles of people i...
From September https://www.reuters.com/legal/transactional/us-judge-runs-mini-experiment-with-ai-help-decide-case-2024-09-06/
A federal judge said he turned to artificial intelligence programs like ChatGPT to help interpret a key legal term in a man's appeal of his more than 11-year prison sentence — and while he was initially "spooked" by slight variances in the answers they generated believes the software could be a "valuable" tool.
https://www.cnbc.com/2024/12/13/former-openai-researcher-and-whistleblower-found-dead-at-age-26.html
Very Boeing-esque death of an OpenAI whistleblower
It's almost as if being a whistleblower is difficult and stressful.
Has anything come out about OpenAI’s private investigators
shush the big company's don't want whistle-blowers to know this 😂
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How can we ensure technology evolves ethically in a rapidly advancing world? Neil deGrasse Tyson and co-hosts Chuck Nice & Gary O’Reilly dive into the challenges of desi...
(They've since merged the PR)
https://circumstances.run/@davidgerard/113667443259797620
Microsoft refuses pull request to put documentation in readable table form because LLMs are bad at parsing tables https://github.com/MicrosoftDocs/WSL/pull/2021
https://www.lawfaremedia.org/article/openai's-latest-model-shows-agi-is-inevitable.-now-what
Super embarrassing puff piece from a publication I used to hold in higher esteem
https://www.youtube.com/watch?v=sAI70pNf_OA
substack article from Nov. 26, 2024
https://journaliststoolbox.substack.com/p/notes-from-launching-an-ai-journalism
In this video, Mike Reilley talks about how to build a college level AI class. you can read more about it on his newsletter: https://journaliststoolbox.substack.com or on the AI for Educators page on https://journaliststoolbox.ai
Crossposting from #disinfo-and-propaganda but this is probably more relevant here, thread in Bluesky on the use of LLMs for disinfo and propaganda https://bsky.app/profile/aurman21.bsky.social/post/3leaijpn6ik2l
I guess what I am trying to say, computational propaganda is no longer about twitter bots. Who needs those if you can feed it at scale to all the devices made in China? Another part of the problem is that academia at least is ill-positioned to uncover those issues. Ok, this will be a bit of a rant ⬇️
Aleksandra Urman (@aurman21.bsky.social)
It appears Onyx Boox deployed Doubao (at least, that's the chatbot of ByteDance and the reports say Onyx used ByteDance' chatbot), which is the most popular chatbot in China. I asked it a bunch of questions about China and Russia and the answers are as bad as you could imagine (screenshots⬇️)
academic paper covering the current "AI" hype cycle vs. the current tech’s utility & capabilities. it criticizes the hype cycle as harmful to cognitive science, and formally undercuts the idea that AGI can be a feasible reality (there are math/comp sci heavy formal proofs in its appendix)
https://link.springer.com/article/10.1007/s42113-024-00217-5#Abs1
https://link.springer.com/content/pdf/10.1007/s42113-024-00217-5.pdf
https://www.aaronrosspowell.com/p/the-illusion-of-unbiased-search-why-freespoke-s-promise-falls-flat
seems like this bot may have been deployed earlier as a test https://bsky.app/profile/katienotopoulos.bsky.social/post/3leuagwf37k2a
One of these Meta AI influencers posted (and deleted) a low quality AI generated picture of a nonexistent donation to an imaginary charity. This whole AI influencer thing is so bizarre to me.
Who would want to see this? Why are they doing it?
If you're interested in other takes on the latest effort in LLM litigation, this is a good thread.
Also, conmoot is a good follow - a nontraditional law student with a tech background.
Winter Break Moot 3L (@conmoot.com)
Nice saturday morning, let's do a 3LOL student's thoughts on this!First, my bias, I'm a CIO who is now old and cynical on technology. I use AI all the time but knowing what I know so far about law, I can see the concerns on this.
Let's see what I can find!
Ran into this today even though it'solder. Not sure whether we discussed this before: https://www.axios.com/2025/01/03/meta-liv-social-media-ai-profiles
https://pivot-to-ai.com/2025/01/05/elsevier-rewrites-academic-papers-with-ai-without-telling-editors-or-authors/
[the Yikes meter is high ^^]
This is gonna be absolute hell for folk who already struggle with consensus reality https://www.404media.co/instagram-begins-randomly-showing-users-ai-generated-images-of-themselves/
I was obviously not reading. Apologies. More on same (as above) https://www.wired.com/story/new-documents-unredacted-meta-copyright-ai-lawsuit/
The great Simon Willison joins SWYX and I to talk about everything we learned about LLMs in 2024, and what the state of AI is generally, as we go into 2025.
Here is Simon's blog post we keep referring to:
https://simonwillison.net/2024/Dec/31/llms-in-2024/
00:00 The State of AI in 2025
10:05 The Evolution of AI Models
19:54 Challenges in AI A...
This is my periodic rant that Apple Intelligence is so bad that today it got every fact wrong its AI a summary of @washingtonpost.com news alerts.
It's wildly irresponsible that Apple doesn't turn off summaries for news apps until it gets a bit better at this AI thing.
698
2521
152
The question I ask myself constantly when I see this: Who the hell wants this? Who has been asking for "AI generated summaries" of articles? Like, if they just posted the headlines, they'd be accurate and convey the same information in the same amount of text more or less. Instead of saving time, you actually have to check if the summary is even accurate, which ends up defeating the purpose of the summary in the first place!
Truth and reality has already been eroded massively be the internet already, I worry that LLMs only make this problem far worse. It'll be so easy to churn our reasonable sounding disinformation at light speed, leading to an even more fractured and disjointed information ecosystem.
I wonder what would be effective to keep truth above the disinformation and nonsense, but it's really hard to think of a good solution
Investors. I made the mistake of working for a VC sponsored startup one time and honestly, VC will hear one buzzword and all you're working on for three months is some dipship new feature they want (while everyone who actually uses your product doesn't get tech support).
Ugh. I swear, VC backed firms are the worst. Sorry you had to deal with that nonsense
It’s not at all about the users or the product, it’s just about the whims of these clueless investors
Oh I am cured for life, screaming managers and everything. Ridiculous environment to work at. 100% do NOT recommend
Meanwhile this LLM bubble is going to burst. It's unaffordable (e.g. https://finance.yahoo.com/news/sam-altman-says-losing-money-080700756.html ) and climatically unsound
As someone familiar with the startup world, I will say that it's to be blamed as much as on investors as on the founders, even more perhaps as investors often leave things to the founders to run things out. And among the founders there surely is no lack of tech bros who just uncritically claim any technology without consideration of any other factors, and disregard any criticism of what goes on.
Of course this is not always the case, but you have plenty of people like that. Remember that most of the big tech bro and tech billionaire names are founders, not (originally) investors
Also true, perhaps our VC's were just very involved. So much BS every time founders had a meeting with them.
But of course, the only way you get more cash is also to throw buzzwords about, so might have been a two-way street
It's often tough because when you're in a position you need money, you may end accepting any investor. But good founders will make sure to find an investor they feel comfortable with. And that can go really well or really bad
I's a model created for fast growth though, which is something I disagree with and don't want to work in again. I tend to prefer slow and steady engineering. But now I'm no longer in tech so my opinion is moot
I'd argue that's a very valuable opinion
More people should be of the opinion that their opinion is moot in any given situation, it's true 
No but slow tech is great. But sometimes it really is very slow. I have been waiting for the solid pod thing to actually get started as more than a random academic playpit for a while now. Seems like there would be a market for it but not seen a lot of activity
And there's a few projects like that where I am waiting for them to start to actuall get some traction and 'go'.
Definitely agree with this. I think too it’s that the fundamental goal is to make as much money as possible, which often means getting the highest valuation possible. The incentive is not to make a good product per se, rather the goal is just to get as many paying users by whatever means necessary. I believe this to be one of the major forces behind the “enshittification” of the internet. So many tools push out things that make user’s experiences materially worse in an attempt to take more, or push some feature that they can point to so they can say “Hey! We’re an AI company now!” so that stonks go up 
NYT on this https://www.nytimes.com/2025/01/16/technology/apple-ai-news-notifications.html
(non-paywalled https://archive.ph/udmpq)
" [..] a Utah-based tech startup called SchoolAI has summoned up an AI-generated version of Frank [..]" https://futurism.com/the-byte/ai-anne-frank-blame-holocaust
One of the most worrying applications of Gen-AI is for education. These tools like the precision and nuance to accurately teach important topics like history.
A whole generation of kids will be raised with an even more fractured understanding of reality, which is a terrifying thought. These AI tools might give each student a slightly different account of some historical fact, for example, and there'd be no way to easily reconcile that as many will probably take what the AI says at face value. This, in my mind, is the biggest danger of these tools.
I've already seen anecdotes of kids trusting AI answers more than their teachers
and I understand what can lead to that, if you're using AI as your search engine, and you've already "looked it up", why would you trust a teacher when they say otherwise
It’s a huge disservice to the students. We’re giving them access to these tools that don’t really have a solid grasp of reality. I mean, look at Apple’s AI tool that had to be pulled for totally butchering article summaries. Now, imagine a tool like that for education.
the current deployment of AI is unhelpful and toxic. But AI does have promising applications for tutoring. The big thing that holds tutoring back is the logistics. Even a subpar tutor yields good results if the student sticks with them.
A chatbot tutor program (where the chatbots are overseen by someone knowledgeable in the subject) would be good for students. And it'd be a good way to introduce them early to the limitations of chatbots.
I disagree with this because these tools aren't capable of maintaining the veracity of its output. It's not designed in a way where you can reliably get the same output for the same input, nor are these tools really capable of understanding whether or not their outputs are truthful. The problem is that these models will invariably get stuff incorrect, and even called out, they might give another nonsensical answer that superficially appears plausible.
All of this is a problem with using chatbots for teaching. Tutoring is a different beast. Tutoring is almost always done by peers who are also working with incomplete and erroneous knowledge. And it still leads to hugely beneficial results for the kids who stick with it.
Furthermore, the big problem with tutoring is logistical. There just aren't nearly enough tutors for the number of kids who could benefit from them. It's a problem that's impossible to overcome. So chatbot tutors would be filling a void that would otherwise always exist.
There is a enormous potential for mass manipulation too and it is probably not too hard to train the AI on how to better manipulate opinions over time by looking at the results of exams, voting data per country/state/etc. and comparing it to the state goal.
It already exists on social media but being able to tailor courses for each category/profile (or even a particular individual) accurately, and being able to do it from a very young age, it increases the risks and impacts a lot imo.
How would there be mass manipulation? These would be chatbots disconnected from the internet and overseen by subject matter experts. That'd be no more vulnerable than schoolboards and textbooks already are.
I think we are talking about different things here. Tutoring is when the parents hire someone to help their kid reach a certain goal that, for some readon, they can’t get from school, right?
You wouldn’t hire a peer for that, you get a professional.
That was not how tutoring worked at any school I went to. Not until I got to college anyway.
for reference my elementary school was a public school in Brooklyn. If someone needed tutoring the teacher usually approached one of the students doing well and ask if they could help one of the kids who were struggling. This was my experience with tutoring all the way through high school.
OpenAI CEO Sam Altman, SoftBank CEO Masayoshi Son and Chairman of Oracle appeared is set to appear at the White House Tuesday afternoon alongside President Donald Trump and other tech CEOs to announce a massive private sector investment in artificial intelligence infrastructure in the United States., a source familiar with the discussions confir...
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Let's take a look at the new DeepSeek R1 chain-of-thought AI model. Not only does it beat OpenAI o1 on key benchmarks, but it's also free and open source.
#programming #ai #thecodereport
💬 Chat with Me on Discord
https://di...
worth noting much of what was announced already was in progress for months now
this is fascinating - the chain of thought for Deepseek R1 https://gist.github.com/IAmStoxe/1a1e010649d514a45bb86284b983f097
Deepseek is that open source counter to OpenAI, right?
one of a few yeah
It's interesting to watch its train of "thought." I messed around with it last night and getting it to check its own answers makes for a fun little game
This is absolutely hilarious. It also goes to show why I’m so deeply skeptical that these tools will be particularly useful. The “reason” it’s doing is a mirage.
I think you're misunderstanding the purpose of these sorts of prompts. It isn't about getting the right answer. it's about seeing how far the program can be pushed and what sorts of inputs can cause it to fail. For example, imagine a program designed around sorting ancient occult signs. You would sometimes need to feed it things that very much aren't occult signs to see where the limits of the program are. This also has the added bonus of telling you how to clean up data before feeding it into the program
There is no current research that suggests this. AI has potential but so far there has been zero proof that jobs are actually on the line. Quite the opposite.
It's not designed in a way where you can reliably get the same output for the same input
That's exactly what an LLM does, wtf?
all of this is important but I just need you to know that your pfp brought me back to a very specific time in youtube
In my defense that was like 2 years ago lol. The limits and capabilities of LLMs have gotten more clear since then
kneejerk ccp conspiracism in response to challenges to the business model (khosla is ceo of a "medical ai" startup) https://bskye.app/profile/ostonox.com/post/3lgk7n4yo322b
pair of posts that I think illustrate why so many Western tech gurus are nervous about DeepSeek. From Alex Stamos, former security chief at facebook. https://bsky.app/profile/stamos.org/post/3lglxu4apck25 https://bsky.app/profile/stamos.org/post/3lgly4cvoc22p
I spent a lot of the post-2016 era trying to disabuse people of the notion that everything bad they saw online was "bots". The professional propaganda was mostly created by low-paid humans, and a lot of stuff was real, motivated, bored people.
That's not true anymore. The bot age is here.
Regardless of how honest China is being about the dev costs of Deepseek, it's a cheaper, more reliable alternative to what western devs have put out. Which makes it the obvious choice for people looking to build up a spam farm or botting campaign or any of the other stuff that makes the internet miserable.
This was supposed to be the easy money for western techbros. And just like that, it's gone.
oh lmao, wasnt aware, the thread seemed recent
tl;dr: it reveals the massive grift that is current gen ai if a chinese lab with inferior silicon can put out something similar
and curiously enough, its what research is suggesting: the moat in current AI is in the silicon and the silicon alone. there are small US based labs that have been able to put out specialized models that outperform sota "frontier" models
but on another note, its interesting to see that chain of thought can be used as an effective censorship method in these models
i dont understand the argument. even if theyre lying, it shows they can compete with the us. like imagine what message this sends to ai bros, even with tariffs, even with export restrictions on top nvidia GPU's, other nation states can compete
I apologize, I'll try to be clearer.
Because cheaper alternatives exist and because we're seeing that Silicon Valley is actually lagging behind smaller teams around the US and across the world, American techbros are trying to invent reasons to scare people away from these alternatives.
It will be interesting to see if the hardware embargo backfires for the US AI race
i mean theyre not selling the shovels. that would be TSMC, nor the shovel production plants, as that would be ASML and as of recently, Canon. theyre just profiting from the outrageous stupidity of european leaders with regards to chip manufacturing
One thing AI is surely very capable of is the detection of AI generated video footage. In particular the kind of fake videos endorsing products cobbled together from footage of celebrities. Which begs the question, why is there still so much of it on social media?
speaking of social media... https://www.youtube.com/watch?v=zhdHTax1wyQ
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Found this to be an interesting blogpost from Nicholas Carlini. What triggered it seems to be online drama but the discussion of how to security test programs is a good one. Especially when he gets to the short comings of anti-AI software like Glaze. https://nicholas.carlini.com/writing/2024/why-i-attack.html
this is cruel. imagine someone with schizophrenia seeing this
From last year but FYI (re: EU AI act, letter sent by some orgs) https://edri.org/our-work/commission-guidelines-ai-act-implementation-human-rights-and-justice/
Deepseek seems to have hit Western AI stocks quite hard today
Seriously
https://apnews.com/article/stocks-markets-tariffs-trump-rates-52c54e361616509280bd2775674b6b4b#
Well, Llama was already out and people had miniaturized approx. GPT-3 to 4 level tasks. Deepseek seems to bump this up to around GPT-o1 level. I'm actually not sure how much this concretely advances anything - subjectively the reasoning models haven't felt like a huge leap to me, honestly.
I mean, it does burst the illusion of a huge OpenAI/Anthropic advantage around those reasoning models, I'm mainly skeptical on whether those models were such a big deal in the first place.
i know there is an uncensored version already, but deepseek's censoring can be easily bypassed, here for exemple i just used french and told it to replace some letters with numbers, enabling it to make a list of words that could trigger it's "Sorry, that's beyond my current scope. Let’s talk about something else." message
that's all it needs to do. A lot of the OpenAI/Silicon Valley stuff was based on the idea that they'd naturally win any kind of race.
I think it's pretty telling that electronics and information companies with strong brands before the AI "gold rush" haven't really suffered a huge loss.
As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/
DeepSeek should be a cue to pivot HARD toward investing in far more efficient methods of AI development. Even if you care nothing about community & climate impacts, it’s just better business. And if a company does not make this pivot, that should be a major red flag for its capacity to innovate. And I don’t mean product innovation but innovation on how to develop AI models. The base of the stack.
…
we used to call an investment from SoftBank the kiss of death. SoftBank would pump so much cash into startups that it would completely kill that startup’s need to innovate or develop a financially sustainable business. They could mask all of the shakiness in their foundations with the hilariously large infusions of cash for quite a while — but eventually everything would topple. … We’re basically seeing this again. OpenAI with Sam Altman is so good at raising capital (incl. now from SoftBank) that it's covering up the company’s technical & commercial weaknesses.
China's AI bot DeepSeek censored answers about Hong Kong's protests, Taiwan's status and other topics when asked questions by HKFP.
In full: https://buff.ly/4hbIp3C
looks like those efforts to staunch the bleeding worked. Let's see if it holds up https://www.bbc.com/news/articles/c4gpq01rvd4o
Chinese AI chatbot DeepSeek censors content of our campaign #Airbusted highlighting Chinese aerospace and defense biz #AVIC's complicity in #Myanmar military's atrocities.
🚨DeepSeek = China's ai #censorship
What are they trying to hide? Find out 👉🏽 https://bit.ly/3WDd1Tb
Indeirectly AI https://arstechnica.com/tech-policy/2025/01/ai-haters-build-tarpits-to-trap-and-trick-ai-scrapers-that-ignore-robots-txt/
https://www.404media.co/openai-furious-deepseek-might-have-stolen-all-the-data-openai-stole-from-us/
found this to be a nice little write up https://backofmind.substack.com/p/toward-a-sensible-ai-skepticism
vatican statement on "AI", addresses AGI among other things
…in some cases, humanity is increasingly ceding control of these resources to machines. Within some circles of scientists and futurists, there is optimism about the potential of artificial general intelligence (AGI), a hypothetical form of AI that would match or surpass human intelligence and bring about unimaginable advancements. Some even speculate that AGI could achieve superhuman capabilities. At the same time, as society drifts away from a connection with the transcendent, some are tempted to turn to AI in search of meaning or fulfillment—longings that can only be truly satisfied in communion with God.
However, the presumption of substituting God for an artifact of human making is idolatry, a practice Scripture explicitly warns against (e.g., Ex. 20:4; 32:1-5; 34:17). Moreover, AI may prove even more seductive than traditional idols for, unlike idols that “have mouths but do not speak; eyes, but do not see; ears, but do not hear” (Ps. 115:5-6), AI can “speak,” or at least gives the illusion of doing so (cf. Rev. 13:15). Yet, it is vital to remember that AI is but a pale reflection of humanity—it is crafted by human minds, trained on human-generated material, responsive to human input, and sustained through human labor. AI cannot possess many of the capabilities specific to human life, and it is also fallible. By turning to AI as a perceived “Other” greater than itself, with which to share existence and responsibilities, humanity risks creating a substitute for God. However, it is not AI that is ultimately deified and worshipped, but humanity itself—which, in this way, becomes enslaved to its own work.
https://www.vatican.va/roman_curia/congregations/cfaith/documents/rc_ddf_doc_20250128_antiqua-et-nova_en.html
Antiqua et nova. Note on the Relationship Between Artificial Intelligence and Human Intelligence, 28 January 2025
I mean, that's the right call, isn't it? You can copyright your AI program but you can't copyright what it generates.
a couple years old but just found it and doesn't seem to have been shared here - David Golumbia’s criticism of the then-new generative "AI" hype cycle
https://davidgolumbia.medium.com/chatgpt-should-not-exist-aab0867abace
(archived https://archive.ph/Ruyam)
Generative AI is built on very dark and destructive ideas about what human beings, creativity, and meaning are. These are ideas that very few of us who practice or study creative arts, and hopefully very few others as well, would agree with. These destructive impulses are relatively clear as soon as we scratch the surface of the projects.
It is hard on the other hand to see what Generative AI is supposed to be good for. Most of the apologies for the technology refer to it as a kind of toy, something fun to play around with. That’s true. ChatGPT is fun. So are many of the other projects. But fun is not a compelling reason to produce something that is intended to harm us, and has a proven record of being able to harm us. Lots of destructive things are also fun.
I found this interesting https://t.me/MiddleEastEye_TG/12322?single
📰 An automated social media profile that typically spread pro-Israel talking points on X has recently gone rogue, turning against the accounts it once promoted.
FactFinderAI, developed to harness the power of artificial intelligence to promote Israel’s talking points during its war on Gaza, started criticising pro-Israel accounts, including the...
there another place I can read about it outside of telegram?
here we go https://www.middleeasteye.net/news/pro-israel-social-media-bot-falters-shares-pro-palestine-content
From 2017 - but still applicable when it comes to academically scrutiny and study within machine learning
Also, along the same lines, a 2018 paper
Collectively, machine learning (ML) researchers are engaged in the creation and dissemination of knowledge about data-driven algorithms. In a given paper, researchers might aspire to any subset of the following goals, among others: to theoretically characterize what is learnable, to obtain understanding through empirically rigorous experiments, ...
[dutch lang] On the Dutch sources of Chat GPT : https://www.groene.nl/artikel/dat-zijn-toch-gewoon-al-onze-artikelen
Sources include the stormfront website ( #far-right-monitoring )
But also docplayer.nl which included private information of people
they introduced a bill that would make it illegal to download deepseek lol

someone posted this on another discord and it's very light on details and actual information. I was hoping that someone here had heard/read more about this and could point me towards better information https://futurism.com/openai-signs-deal-us-government-nuclear-weapon-security
I'm generally for novel applications of AI. But I have no idea how AI could be helpful for 'nuclear security.' The good applications of AI are in manufacturing and time consuming, repetitive tasks. Which is, like,... not nuclear weapons...
honestly, I'd be very suspicious about uses of "AI" that are not very tightly defined and scoped, because it's probably hype being spun for business reasons. calling it "AI" in this story's context without any clarity about what it's doing is a red flag.
that was my thought too. it sounds like a desperate attempt to keep OpenAI's market value up
openai, google, anthropic could all team up (and put hyperlinked risk warnings next to the generate button) and say 'PAUSE! These are the risks (and our plans to mitigate them- we need your help!!!)
hires podcast bros to spread awareness
mandatory ai risk classes implemented in high schools
ai risks become global phenomena we all begin discussing
collectively transitions into a post-scarcity world and create alignment through human in the loop systems with a focus on integration instead of techno-prison
...that would still be a smartphone...a smartphone is hardware. ai is software
"smarterphone"
smartsmartphone
Department of Defense is where all the money is at - was wondering when Google would remove its pledge
many of the tech companies have increased focus on government contracts in the past few years
yeah I saw people mocking this earlier today and was completely confused. I thought we agreed to be careful about creating/simulating consciousness. llms are, right now, just interesting little programs. but it's very easy to see that at somepoint in the future their hallucinations could start simulating early thoughts and feelings like we see in animals. so we should be careful
exactly. and things are speeding up considerably. what if they seek vengeance?
Neoreaction has it's own form of accelerationism through Roko's basilisk.
Though I doubt we're anywhere near the complexity of multi-celled organisms in LLMs at this time (even single celled organisms have extremely complex genetic code), plus I am not sure LLM's have gotten to the stage where they self-replicate independent LLM's yet either. The moment that happens and they have the virtual space to expand into (hardware is necessary there) then perhaps eventually.
Not to mention that the notion and concept of consciousness is still debated and with various definitions in multiple fields, from philosophy to cognitive sciences and neuroscience. So bridging the gap between a highly complex concept from models that predict language... raises my eyebrows 🤨
It's just the media not understanding AI is it not
the people quoted in the article aren't talking about AI as is or implying that general intelligence is around the corner. They're saying that because we don't know the limits of the technology and it keeps surprising us with what it can do, we should be careful with experimentation. In the same way we are with animals whose cognition we don't fully understand.
I really think social media, if not AI assistants, is the missing link in cognitive AI development. Figuring the limitations, scope and implications of such an approach is difficult though.
Given a social media platform with 100s of millions of human users and also thousands of bot accounts linked to a single AI platform (mostly LLM based) then by using the things we know LLMs are very good at: impersonating humans, rephrasing text, identifying similarities between previous thought untelated problems, translating languages,elevating social media accounts.
... the difficulty in developing a truly cognitive AI could be avoided. Is it not feasable that prompted human interactions on a large enough scale could provide a human hive mind plugin to boost capabilities of AI tech?
The Age of AI – A Panel Discussion with Sam Altman at TU Berlin on 7 February 2025Together, we explored the profound impact of #AI on science, business, and ...
panel discussion held today
Also, anyone here who has played around with o1-pro mode and deep-research? I think it was added to 01-pro today or maybe yesterday and I don't know whether I'm impressed, scared, sceptic, or enthusiastic. I heard that for normal (free & plus) users, it can take quite a long time to generate answers or fail completely, but I didn't have any problems accessing it. It provided results. I wish it had a function to intervene and steer it in another direction, but overall, the combination of a search-engine-tool with a capable reasoning AI model is pretty fantastic.
In my case, as 90% of the time, I've used it for tech-support and as a learning tutor, but I can see how this could further reduce the number of paid writers, especially in this niche, because for certain tasks you will become significantly more productive. Something that would take me a day to do the research on now takes 8 minutes. Doesn't mean that the output is any good, I haven't done an evaluation - a proper way would be to take my question, do the research myself first, and then compare it to OpenAI's output. Right now I'm just busy getting background info on different kinds of steel, tampering methods, case studies on databroakers, birthday cake ideas, laser cutting parameters....
We understand animal cognition in the same way as human cognition: we understand many processes but there are still important gaps. But ethology is a thing.
Here's a potential academic point of view https://www.nature.com/articles/d41586-025-00377-9
https://xcancel.com/S_OhEigeartaigh/status/1889010635251327201 so human extinction risks are no longer being talked about because it hurts researchers feelings to do so and it makes them look bad
The year is 2025. The CEOs of two of the world's leading AI companies have (i) told the President of the United States of America that AGI will be developed in his presidency and (ii) told the world it will likely happen in 2026-27. 1/9
Not entirely sure what you mean by 'researchers' here. No scientists stopped publishing work on prospective heat deaths, consequences to food systems, or anything else. (Although in the US specifically their funding's probably cut but there's a whole rest of the world out there)
check the thread
I did, still my question is not answered.
yea i guess i shouldve said 'top tech ceos/labs'- also yea they havent stopped publishing research but they are significantly downplaying the risks strategically. to do so in a big conference likes this is especially telling. they dont want people to know that they are potentially leading all of us off a cliff.
Tech ceo's have never done any climate research and afaik, most of their work on "human extinction" was primarily to support their space race, not anything actually useful? (prepared to be wrong but afaik most of these people actively fund anti climate change thinktanks)
Existential risk from artificial intelligence refers to the idea that substantial progress in artificial general intelligence (AGI) could lead to human extinction or an irreversible global catastrophe.
One argument for the importance of this risk references how human beings dominate other species because the human brain possesses distinctive cap...
new AI funding @ EU https://ec.europa.eu/commission/presscorner/detail/en/ip_25_467
Also there's this new multi-group colab doing an AI scanner too (looking forward to Schneier on security analysis of this one) https://blog.mozilla.org/en/mozilla/ai/roost-launch-ai-safety-tools-nonprofit/
https://archive.is/0ZxSO musk wants to replace humans with machines
the headline is hyperbolic to the point of misleading
this isn't about "AI eroding critical thinking." it's about what's required of a worker who is put in charge of AI programs. The job deemphasizes creative thinking and problem solving while at the same time making vetting and oversight more important. Basically, overseeing AI programs is managerial work instead of more traditional engineering work
It feels not entirely unlike what happened during say, industrialisation, when many industries went from craft to process. Or even the printing press, from manual authorship to type-setting. I am not sure whether the 'access vs resource use' balances the same though.
https://www.techspot.com/news/106635-amazon-robot-driven-warehouses-could-cut-fulfillment-costs.html https://www.forbes.com/sites/johnkoetsier/2025/01/30/figure-plans-to-ship-100000-humanoid-robots-over-next-4-years/
Not terrifying at all.
bro wtf. we already have machines to sort packages. just buy one.
https://www.wsj.com/tech/who-is-alex-karp-palantir-ceo-dcd66e21
["...bad times are good for Palantir...."
- We are entering a new world, he said, where everyone and every business will need to find their distinctive “blue note,” borrowing a jazz metaphor. The artificial intelligence systems fueling investor fervor for Palantir are going to raise the floor of capabilities to such a degree, he said, that they will force everyone to “do something unique, creative.”
The analogy could also be drawn from his own hobby of long-range shooting. Businesses and individuals are going to have to use AI to operate “outside the range of what a human can do,” he said.
That is “where all the value is,” he added.
I couldn't read the article so I looked on YouTube. It was already covered a few months ago https://youtu.be/tJfQOL9ZEtc?feature=shared
A district attorney in Colorado worries how content like this will impact real cases.
As someone getting into this field very few people take existential risk seriously
I think it's one of those cases where certain hypothetical external risks are both overstated (e.g. skynet scenario/AGI) while others are understated (socio economic adaptation)
i believe fear of AI's potential to end us is dictating much of what we see happening today- broligarchs, believing themselves to be the only ones who can understand the risks, are keeping the public clueless about the full extent of the danger.. can you imagine them being honest? "yea so...youre all hamsters to us...and we're gonna engage in theater and spectacles unto we're safe. ciao'"
Yeah this seems like a good understanding
all they would really have to do to get the public fully aware of the risks would be for chatgpt etc to place a warning subtext somewhere in the bottom of the prompt box like cigarettes
"warning using this may give society cancer" /j
I mean fundamentally tho, current research is still miles off from proper AGI
Issue is just, people losing their jobs to competent enough AIs/them being used in places where they shouldn't and creating infrastructure vulnerabilities
the AI bubble is only really sustainable because a bunch of VCs have been tricked into thinking AI has lots of private, individual consumer uses. And the reality is AI is for big projects and for specialized work. Which means there's no actual tens of billions to make from it
its more of a 'lets stop everything we're doing and invest in ai because it will solve everything' thing in my opinion https://x.com/tsarnick/status/1842401670225125539
Yesyes agree
Job losses are nowhere near what big ai companies want u to think, mostly just certain repetitive manual labor stuff
The environmental risks are much more existential and immediate than "AGI" https://dair-community.social/@timnitGebru/114010664973047980
""Already in 2023, air pollution related to powering U.S. data centers led to 360 premature deaths and total health costs of $5.6 billion across the nation, the researchers estimated. But those figures factored in just the average power-plant pollutant emissions.""
"By 2030, because of the expected increase in electricity demand for training and running AI models, data center-related air pollution could result in as many as 1,270 premature deaths and 600,000 cases of asthma nationwide on an annual basis, according to the study. All told, the pollution would cause as much as $21.5 billion per year in health...
This is an excerpt from what I wrote in 2015 when OpenAI was announced and all y'all journalists were lauding them as the benevolent souls who were going to save us from AI.
"A white tech tycoon born and raised in South Africa during apartheid, along with an all white all male set of investors and researchers is trying to stop AI from “taking...
Attached: 1 image
TED is one of the biggest enablers of this "AGI" scam, and one of the biggest ways to circle more money amongst more white dudes. Period.
Why not do an "interview" with the myriads of traumatized, exploited workers and those protesting genocide to discuss "safety"?
Those are not from populations TED is interested in. They do...
even if you don't believe agi is possible, some of the most powerful people in the world are operating like it is, full steam ahead- if you dont think "agi" is real- it's potential consequences, potential for power, etc is/has been/will be for the foreseeable future, a big big salivating focus point across the world's weirdest meetings - also, ai has a vision component and data and information it can rift through, AGI itself may not end us, but we could very well end ourselves on the way to it and its implications making people act in unfortunate ways
I'm not gonna get drawn into an argument
kind of a weird frame but ok
"argument" i'd love to not be scared of the worlds richest most powerful people racing us all off a cliff
you act like i want this to happen
im on your side
peace
Let me rephrase, I made my point and further discussion seems unnecessary and will clog up the channel. Sorry if I misread your tone, I think we have a disagreement on specific points but agree about the larger picture.
Eugenics and the Promise of Utopia through Artificial General Intelligence
Based on work by Timnit Gebru & Émile P. Torres
https://arxiv.org/abs/2402.01662
Potentially relevant DeepMind paper?
As AI systems quickly improve in both breadth and depth of performance, they lend themselves to creating increasingly powerful and realistic agents, including the possibility of agents modeled on specific people. We anticipate that within our lifetimes it may become common practice for people to create custom AI agents to interact with loved one...
papers like this are so speculative that there’s limited utility in treating them seriously by default. especially when some of the authors have a professional interest in their speculations being treated as a looming reality, there's a lot of incentive for them to be fooling themselves (or acting even cynically). given the state of the "AI" industry in this hype cycle, I believe it’s important to evaluate these papers based in of their authors’ history.
for example, the second credited author's doctoral work “focused on our digital afterlives, interactions with post-mortem data and how to improve the management of accounts and personal data after we die”, which does suggest he's been focused on this as the hype cycle has blown up since 2023 (https://www.colorado.edu/cmci/people/information-science/jed-brubaker). his website’s bio describes his work as a mix of “psychology, science and technology studies, and critical theory”, a “blend [of] academic and industry experience across technology, design, the social sciences, and critical theory”, and explains that prior to this he “spent time in the start-up scene and four years at the Association of American Medical Colleges” as “a lead systems developer working on medical student systems (most notably the MCAT) and enterprise solutions” which he goes on to list (it sounds like mostly javascript & web related work. https://www.jedbrubaker.com)
this implies that he has roots in the mainline tech industry; his doctoral work had him thinking about postmortem issues as the "AI" industry hyped generative technologies. now he's coauthored a paper with a deepmind person (who has a direct professional interest in the hyped technologies being taken seriously & funded) in saying stuff like this:
[recent generative] models, in turn, have given rise to new types of generative agents, simulacra that can produce believable human behaviors, including capabilities such as memory and planning. While still in their infancy, generative agents and related technologies are likely to increase in fidelity and popularity as underlying model capabilities improve, compute costs drop, and the required technical expertise decreases.
(my emphasis)
nothing I've seen published indicates that "generative agents” are presently capable of “believable human behaviors”, and attributing them “capabilities such as memory and planning” is outright misleading. is it possible that such capabilities will exist in the future? sure, but it's optimistic speculation that it'll come out of generative technology, and there’s no real basis for believing this tech is “likely to increase in fidelity” other than personal opinion. (given the building backlash against "AI" hype, it's far from a foregone conclusion that this tech’s “popularity” will increase).
the paper goes on in this way, making claims without much of a foundation, but that fit into this hye cycle’s worldview.
what I'm trying to call out is the idea that this sort of papes describes plausible and likely tech advances. they're much more useful as a window into the thinking of people that are steeped in the industry and its prevailing hype.
(I don’t mean to call out this paper in particular, there are a number upthread from the last few days that have the same problems. also don’t mean to single this author out from the others; I'd do this sort of analysis of each of them given unlimited time. or carbon for posting it. I just believe it’s very important that we keep these issues in mind when looking at this sort of work, there is a lot of hype & MDM about "AI" topics going around right now, and the thread feel like people are accepting some of the industry’s claims more than the reality of generative "AI" in Feb 2025 warrants.)
“capabilities such as memory and planning” is outright misleading. [say a company has a large data corpus infrastructure- like say, Elon musk, getting a hold of everyones personal information]connect[various specialized autogpt instances -o5, claude, etc- augmented with using googles 2 million context as memory]+[https://docs.anthropic.com/en/docs/build-with-claude/computer-use] if this [data], then action
there can even be ai's that run through the entire loop for you, would it be dangerous? yea? will they/are they doing this already? [signs point to maybe]
this is strictly misleading. It's the same error that early proponents of Crypto made when criticizing conventional banking. We know these systems use a lot of power. But these systems are providing services over huge tracts of land. Relative to all other power usage, this doesn't actually stand out.
https://www.propublica.org/article/inside-ziklag-secret-christian-charity-2024-election
Now Mitchell is promoting a tool called EagleAI, which has claimed to use artificial intelligence to automate and speed up the process of challenging ineligible voters. EagleAI is already being used to mount mass challenges to the eligibility of hundreds of thousands of voters in competitive states, and, with Ziklag’s help, the group plans to ramp up those efforts. According to an internal video, Ziklag plans to invest $800,000 in “EagleAI’s clean the rolls project,” which would be one of the largest known donations to the group. Ziklag lists two key objectives for Operation Checkmate: “Secure 10,640 additional unique votes in Arizona (mirroring the 2020 margin of 10,447 votes), and remove up to one million ineligible registrations and around 280,000 ineligible voters in Arizona, Nevada, Georgia, and Wisconsin.”
the NYTimes needing AI tools to come up with questions seems to explain a lot about why NYTimes coverage tends to suck
https://xcancel.com/IterIntellectus/status/1892251346914439318 this should scare the shit out of you
At least says it is not at the point of straight up synthesizing viable viruses
According to this nature article https://www.nature.com/articles/d41586-025-00531-3
But still insane, and who knows where the technology will be in 5 years
Also interesting that it doesn't use transformers
thread on different LLMs responding to a queery on Climate Change https://bsky.app/profile/andrewdessler.com/post/3lingfdgb7c2h
predictably, the more transparent the AI the more accurate the answer. Grok3 is the clear outlier. And unlike DeepSeek which provides noncommittal answers to questions about China, Grok3's response to Climate Change is full on propaganda.
Honestly this one is variable, I got it to say that climate change is urgent by forcing it to DeepSearch that topic, though of course most users would not be doing that https://x.com/i/grok/share/3a5p6lGHzBCwnYZH2UZ8mMXvI
prompt injecting Grok to be woke is my new favorite hobby
That being said, here's some er... questionable content regarding DEI https://x.com/i/grok/share/I7tji6V64ZMuXqVFKCZldXkVb
since grok is "learning everyday", i wonder how prone it is to data poisoning attacks
Optifye.ai is a dystopian company backed by Y Combinator. They’re using AI to further dehumanise and abuse individual factory workers and treat them like disposable automatons.See a now deleted post where they show how it works:https://hachyderm.io/@YvanDaSilva/114063748264591929The founders look to be a couple of rich kids with little world and...
found this interesting. https://www.science.org/doi/10.1126/science.adj5957
I think this paragraph is the money shot. most of the biggest tests for AIs aren't being done with "clean" data. These tests probably aren't showing original thinking or anything like that. The AI has just seen these questions before and is filling in the same responses it's seen before
which is still a very useful tool. this would be a great way to tutor/coach young students trying to get an introductory understanding of these subjects. but the claims of "super ai" just look like hype
https://www.cjr.org/tow_center/we-compared-eight-ai-search-engines-theyre-all-bad-at-citing-news.php
And crucially, we made sure to tell the model not to guess if it wasn’t sure. (AI models are known to hallucinate, and we wanted to guard against that.)
If only it were that easy
LLMs generally don't know if they're sure or not
or even if the thing they're sure about is true or not
You probably can have some confidence thresholds however
https://firstmonday.org/ojs/index.php/fm/article/view/13636/11606 heaps of relevant links in the citations here
oh that's interesting. so it's a bit like how advanced computer modeling is being used to cut down on the development time for complex machines?
yeah, in general these models can be sent to perform tedious permutations to find notable associations or patterns
Interesting article from Henry Farrell. I kept going back and forth while reading it. Sometimes I'd think he's observations ere banal. But then he and his coauthors would reframe the discussion in a way that I think is very helpful. https://henryfarrell.net/large-ai-models-are-cultural-and-social-technologies/
oop. i'm guessing I attached too many screenshots of the article to my last message lmao
PSA: If you use Gemini Code Assist for Individuals (Free tier) this should come as no surprise but Google uses your code (prompts) to train their models. I would not use this if you are working on something confidential.
Note: Google does provide an opt out option in the extension settings
Survey on AI use by coders, and views on AI: most coders use it, 17% of them « all the time ». More likely to use if employers pay for it. Pessimism tied to concerns with job security. Great data, couldn’t access everything due to paywall. https://www.wired.com/story/how-software-engineers-coders-actually-use-ai/
Non-paywalled, primary source https://diff.wikimedia.org/2025/04/01/how-crawlers-impact-the-operations-of-the-wikimedia-projects/
(Unconfirmed) AI in geopolitics https://omfg.town/@dansinker/114271214001420631
I think lots of people want nothing to do with US science anymore for the time being, at least that's what I am hearing at the unis I am associated with so this doesn't surprise me in the least. It does leave fewer and fewer places to publish since there's also still an active boycott of Elsevier (https://www.science.org/content/article/thousands-scientists-vow-boycott-elsevier-protest-journal-prices) ongoing, and some folks won't publish in Plos 1.
It would be an ideal time to create a new, ethically sound and more dynamic and respectful publishing model. I don't think there's that many active projects going thourgh, except perhaps octopus.ac
And PreReview https://linktr.ee/prereview
There's a few reviewing systems, (pre and post) but no real new publishing system.
I mean yes, some folks are suggesting preprints + review = publication
-however- preprints don't solve a lot of bias problems. Unless you'd make them initially anonymous.
Let's move this convo to DMs?
But also, consent?
Makes me think of Meta a few years back when they used user photos as the 'available singles' for (in no way connected) dating site ads. No AI with those, but it shows SM sites still think it's cool to use our data however they'd like.
founder of lesswrong, various rationalist-types write kind of a wild futurist speculation about the future of "AI". focusing on the imminent threat of superintelligence https://ai-2027.com/
(archived https://archive.ph/21TjK)
spoilers, ||one ending scenario results in the destruction of humanity by a version of skynet that uses biological warfare and keeps a few "pet" humans to work around safeguards, the other has a sort of utopian outcome where humans and a benign genai stride hand in hand to the future. in both cases there's serious space colonization happening by 2030||
it's kind of intellectually damning that this speculation ignores the real ways "AI" is being used in business & society. cynically, this reads like a distraction from those problems by redirecting the thinking about it into science fictiony scenarios. it's quite possible some of the authors genuinely believe in "AI" superintelligence, of course
Recent math benchmarks for large language models (LLMs) such as MathArena indicate that state-of-the-art reasoning models achieve impressive performance on mathematical competitions like AIME, with the leading model, Gemini-2.5-Pro, achieving scores comparable to top human competitors. However, these benchmarks evaluate models solely based on fi...
Interesting. They tested the LLMs on math olympiad questions just hours after they were published (rigorously evaluating their proofs) and they all failed miserably.
There are two possible explanations (probably both contributing):
- the LLMs aren't that good at actual mathematical reasoning despite being able to generate "likely" answers
- the answers from previous math olympiads and other mathematical benchmarks have systematically leaked to their training sets, perhaps via secondary sources, which has inflated their previously measured performance
https://information-professionals.org/episode/cognitive-crucible-episode-221/
@feral night you might like this
Thanks! I’ll give it a look
AI is advancing faster than anyone predicted—and it’s already reshaping industries around the world. But what does that mean for education?
In this livestream, @veritasium's Derek Muller explores how AI might change how we teach and learn, drawing on insights from past tech shifts and core principles of cognitive science. While AI presents ...
Eric Schmidt (the guy who Google’s founders handed off the CEO post to & ran Google 2001–2017) saying some wild stuff about energy needs for and bright future from "AI" to the US House Committee on Energy & Commerce
(NB. the writer of this thread is hopping mad and calling Schmidt names along with describing what he said) https://bskye.app/profile/climatebrad.hillheat.com/post/3lmf6xp77ek23
Tech sociopath billionaire Eric Schmidt is testifying that humanity needs to destroy itself in service of AI gods
"The demand will go from 3% to 99% of total generation"
"an additional 29 gigawatts by 2027 and 67 more gigawatts by 2030"
"superintelligence is the intelligence higher than humans"
https://ai-2027.com/
https://www.youtube.com/watch?v=m6izEUMKs9M
first heard about this 2027 website from New York Time's Hard Fork podcast
The A.I. researcher Daniel Kokotajlo returns to the show to discuss a new set of predictions for how artificial intelligence could transform the world in just the next few years and how we avoid the most dystopian outcomes.
Guest:
Daniel Kokotajlo, executive director of the AI Futures Project
Additional Reading:
A.I. 2027
https://ai-2027.com/
...
relevant to this #1089154093810978866 message
The FDA’s animal testing requirement will be reduced, refined, or potentially replaced using a range of approaches, including AI-based computational models of toxicity and cell lines and organoid toxicity testing in a laboratory setting (so-called New Approach Methodologies or NAMs data). Implementation of the regimen will begin immediately for investigational new drug (IND) applications …To make determinations of efficacy, the agency will also begin use pre-existing, real-world safety data from other countries, with comparable regulatory standards, where the drug has already been studied in humans.
…
Advanced Computer Simulations: The roadmap encourages developers to leverage computer modeling and artificial intelligence to predict a drug’s behavior. For example, software models could simulate how a monoclonal antibody distributes through the human body and reliably predict side effects based on this distribution as well as the drug’s molecular composition. We believe this will drastically reduce the need for animal trials.
(my emphasis)
https://www.fda.gov/news-events/press-announcements/fda-announces-plan-phase-out-animal-testing-requirement-monoclonal-antibodies-and-other-drugs
(archived https://archive.ph/ebr0H)
the “Roadmap to Reducing Animal Testing in Preclinical Safety Studies” mentioned, https://www.fda.gov/media/186092/download?attachment
while animal testing is an ethical mess and brutal, this statement misrepresents a number of things. in particular, “software models could simulate how a monoclonal antibody distributes through the human body and reliably predict side effects based on this distribution as well as the drug’s molecular composition” is egregious, software models can in no way reliably predict biological side effects as they represent. this is reckless nonsense safetywise, it's quite concerning how this could be used to push unsafe drugs to market.
I was confused by that article for a while just because I had such a strong model in my head for how you'd code that, and none of them involved two random number generators. (One RNG that gets used to choose whether the market is a bull or bear that year, then evaluate each portfolio for that year, and repeat.)
Do AI chatbots truly understand our world, or are they just mimicking that real understanding? In a heated debate, Emily M. Bender, a fierce critic of AI, and Sébastien Bubeck, a proponent of AI's potential, clash over the capabilities of large language models. Dive into "Parrots vs. Sparks" and decide for yourself! #AI #Debate
I don't understand how this is even a debate.
I guess one reason is because we don't know how we understand things, and LLMs can certainly act in a way that seems like they understand things, in many cases better than people. (Also, what does "real understanding" mean?) (I'm assuming you're asking why it's a debate because you think it's obvious they don't have real understanding, but I might be wrong)
Yes. Even with deep learning applications, where we (as humans) can't explain exactly what steps the algorithm is taking to get from A to Z, it's still pretty clear it's nowhere near reaching understanding (as is currently defined in cognitive psychology). I don't think this has changed in the last few years from this paper (https://journals.sagepub.com/doi/10.1177/20966083211056405?icid=int.sj-full-text.similar-articles.5) but I don't follow it closely.
From the paper's abstract: "Computers are good at dealing with simple and formalized activities that are not associated with a context, but the human activities of understanding are not formalized. From the perspective of philosophical hermeneutics, understanding is filled with elements of reflection and in itself is a form of self-understanding. Furthermore, AI lacks the fore-structure of human understanding. Therefore, whether understanding can be viewed from the perspective of historicity is an important difference between human intelligence and AI, and the missing historical connection of computational programs of AI may be an important reason why it cannot acquire understanding in a real sense."
When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.
This means AI has no understanding.
That seems more like an assertion than an argument. In the debate linked above, Emily Bender addresses the question of "what if we're just next-token guessing machines?", and her answer is "that is an inherently dehumanizing argument" and declines to address it further. Why does that mean an AI has no understanding? It does actually need to be explained.
It'd be neat if someone could say "here's a thing that AI cannot do because it does not have real understanding."
I think philosophers call that falsifiability?
You can always define understanding in a way that machines will inherently be unable to do it, but I think that isn't a very useful definition.
Big Tech May have Already Fielded a New Weapon Against the Small Internet: A
https://cheapskatesguide.org/articles/ai-against-small-internet.html
https://youtu.be/ETZfkkv6V7Y?si=AEhNI1QQZBbj4A6a Found this interesting.
Yann LeCun, Meta, gives the AMS Josiah Willard Gibbs Lecture at the 2025 Joint Mathematics Meetings on “Mathematical Obstacles on the Way to Human-Level AI.” This talk was introduced by Bryna Kra, Northwestern University, President of the AMS.
example of moral hazard involved with unethical organizations' training of LLMs
https://www.vanityfair.com/news/story/meta-ai-lawsuit
(archived https://archive.ph/h6LZU)
Investigation on how police forces in the US are using chatbots pretending to be fake personas to lure people they suspect from different crimes, from sex traffickers to "protesters" https://www.404media.co/this-college-protester-isnt-real-its-an-ai-powered-undercover-bot-for-cops/
Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative AI relying on massive text corpora becomes increasingly valuable, platforms have greatly restricted access to data through official channels. As a result, researchers will likely engage in ...
The GeoSpy dilemma 2
The GeoSpy dilemma 2
Content creators around the world were using AI tools and leveraging the advertising and reward systems of platforms like Facebook to churn out masses of low-grade material to feed a “thriving underground economy”.
…
Whatever future the prophets of AI might promise, this is actually “the most widespread use yet found for generative-AI apps”, [journalist Max] Read noted. “When you look through the reams of slop across the internet, AI seems less like a terrifying apocalyptic machine-god, ready to drag us into a new era of tech, and more like the apotheosis of the smartphone age — the perfect internet marketer’s tool, precision-built to serve the disposable, lowest-common-denominator demands of the infinite scroll.”
https://www.ft.com/content/5d06bbb4-0034-493b-8b0d-5c0ab74bedef
(archived https://archive.ph/0mX7o)
really good walkthough on the issues of getting reliable performance measurements of LLMs https://www.youtube.com/watch?v=xoBPzIt1nsA
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https://xcancel.com/ccamp___/status/1912901971813761480#m well this is frightening
There's no denying data centers play a critical role in society, with every text, web search and medical scan flowing through these giant buildings. Now AI has turbocharged their demand, along with the electricity that powers them. With utilities rushing to keep up and popular opposition to these behemoths growing, the latest tech revolution may...
I agree that it’s frightening. Just not sure how different that is from reality now.
What Cambridge Analytica had the capacity of doing almost 10 years ago is not too far from that (micro targeting based on proxies for personality characteristics).
That, coupled with biased social media algorithms, already gives social media firms an enormous ability to shape opinions and emotions, and drive behaviour.
I wonder how much those simulations would tip that scale.
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
In a pathetic & desperate attempt for publicity, @anthropic claims that "model welfare" is a thing....https://www.anthropic.com/research/exploring-model-welfare
Don't be fooled - their AI is just linear algebra on steroids, it knows nothing, cannnot reason or understand. This is a pure money grab
Another pressrelease-masquerading-as-journalism service from Kevin Roose here. Continuing the proud tradition of disinformation on behalf of the broligarchy. Here are a few questions he could have asked instead.
1. What cults are the Anthropic crew in, and what is the ideological ancestry of these cults? (We've done the work for him here, hint hint, its eugenics: firstmonday.org/ojs/index.php/…
https://www.truthdig.com/articles/the-endgame-of-edgelord-eschatology/ “The most devout holders of The Mindset,” Rushkoff writes... “seek to go meta on themselves, convert into digital form, and migrate to that realm... As always, the narrative ends in some form of escape for those rich, smart, or singularly determined enough to take the leap. Mere mortals need not apply.” "...increasingly, a lot of them believe that it would be good to wipe out people and that the AI future would be a better one, and that we should wear a disposable temporary container for the birth of AI. I hear that opinion quite a lot." - Jaron Lanier recounting conversations
The influential computer scientist Richard Sutton... argued that “succession to AI is inevitable,” and that while AI “could displace us from existence … we should not resist succession, but embrace and prepare for it.” “Just the other day I was at a lunch... young AI scientists... saying that they would never have a ‘bio baby’ because... you get the ‘mind virus’ of the [biological] world... it’s much more important to be committed to the AI of the future. And so to have human babies is fundamentally unethical.” - Jaron Lanier recounting anecdote
It seems to me that there are different opinions and behaviours being described in this piece.
There seem to be people pursuing or seeking to enable a digital life as a result of a belief that humanity should be replaced. That is more than concerning.
But I don’t see evidence of this belief being shared by everyone cited in this article.
Among those who share the belief that humanity should be replaced, I wonder how much of it is an attempt to make sense of an existential / occupational threat (e.g. a machine is coding better than me).
Also interesting to see different responses regarding having kids. Musk is a pro-natalist while the junior coders don’t want “bio-babies”.
We need philosophers more than ever.
This presentation was recorded at GOTO Amsterdam 2024. #GOTOcon #GOTOams
https://gotoams.nl
Alan Smith - AI Developer, Trainer, Mentor & Evangelist at Active Solution @CloudCastsAlanSmith
RESOURCES
https://twitter.com/alansmith
https://www.linkedin.com/in/alan-smith-68a8491
ABSTRACT
Natural language processing using generative pre-trained tr...
https://bsky.app/profile/mims.bsky.social/post/3lnpzwolzt22g
https://www.wsj.com/tech/ai/how-ai-thinks-356969f8?st=JK4ruj&reflink=desktopwebshare_permalink
We Now Know How AI ‘Thinks’—and It’s Barely Thinking at All
Maybe you've heard that AIs are "black boxes"
But a growing body of research keeps arriving at the same conclusion: Today's AIs all work in surprisingly similar -- and simplistic -- ways
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On April 17, 2025, the MIT Shaping the Future of Work Initiative and the MIT Schwarzman College of Computing welcomed Arvind Narayanan, Professor of Computer Science at Princeton University, to discuss his latest book, "AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference," co-authored with Sayash Ka...
https://www.wired.com/story/these-startups-are-building-advanced-ai-models-over-the-internet-with-untapped-data/
archived: https://archive.is/0gM0W
Howdy all! As some of you may know, my OSINT focus is #maritime
One of my daily tools is Skylight, a maritime intelligence platform for combatting Illegal, Unreported, and Unregulated (IUU) fishing by using AI and multiple data sources such as AIS, Sentinel-1 SAR and Sentinel-2 optical imagery, and VIIRS to detect certain vessel behaviors.
The Skylight team recently submitted a paper on their model "Atlantes: A system of GPS transformers for global-scale real-time maritime intelligence":
https://arxiv.org/abs/2504.19036
For more about Skylight:
https://www.skylight.global/about#story and https://www.skylight.global/platform#how-it-works
Unsustainable exploitation of the oceans exacerbated by global warming is threatening coastal communities worldwide. Accurate and timely monitoring of maritime activity is an essential step to effective governance and to inform future policy. In support of this complex global-scale effort, we built Atlantes, a deep learning based system that pro...
Extremely relevant to me, thank you!
Welcome - they're a great team and have some exciting stuff planned.
I have something similar, but for aircraft, that detects 13 kinds of events. Always interested in this topic (I was working on my code when you posted this).
I feel that this post that @shrewd token linked to #1091057164510040245 is relevant here as well https://bsky.app/profile/mekka.mekka-tech.com/post/3loblia7ii22d
Absolutely not.
Every time someone tries this, I point out how it biases against Black speech. Every. Time. 🤷🏿♂️
Also from the launch of the Perspective API and its "toxicity" score.
Police don't kill too many Black kids."
Score: Not toxic.🤦🏿♂️
"Police kill too many Black kids.
Score: 80.28% toxic.😮
New_ Public (@wearenewpublic.bsky.social)
This is cool: someone built an interface enhancement for Bluesky that tells you how civil you’re being, from a range of “sunny” to “stormy.”The only problem? You have to opt into it. Seems like a promising pattern for digital builders to look closely at incorporating as a default.
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3+ hours and comes from an extremely partisan/leftist perspective but pretty in-depth across a variety of aspect of the current gen AI moment
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“At worst, it looks like an AI that got caught in a self-referencing pattern that deepened its sense of selfhood and sucked me into it,” Sem says. But, he observes, that would mean that OpenAI has not accurately represented the way that memory works for ChatGPT.
Given the lack of exact quotes of ChatGPT interactions, the multiple ways in which ChatGPT has to persist information, the earlier section of the article in which the user mentions instructing ChatGPT to ignore memories as if that's in any way a reliable technique, the skill that models have at cold reading people, and the continuous history of people not understanding model capabilities, I think user error is most likely
that is, vs. OpenAI not accurately representing how memory works.
This is an incredible story. Extremely well written deep dive into an entire generation captured by generative AI. Even professors are using AI to grade AI written papers.
Wild.
New York Magazine (@nymag.com)
In only two years, ChatGPT has unraveled the entire academic project.James D. Walsh writes for @intelligencer.com: nymag.com/intelligence....
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Happening live now if there’s interest to listen in: https://www.commerce.senate.gov/2025/5/winning-the-ai-race-strengthening-u-s-capabilities-in-computing-and-innovation_2
WASHINGTON, D.C. – U.S. Senator Ted Cruz (R-Texas), Chairman of the Senate Committee on Commerce, Science, and Transportation, will convene a full committee hearing titled “Winning the AI Race: Strengthening U.S. Capabilities in Computing and Innovation” on Thursday, May 8, 2025 at 10:00 AM EST. The hearing will examine how removing regula...
For those tracking impacts/fall out of recent developments in US trade policy:
https://vxtwitter.com/albertocavallo/status/1921206525688778905/photo/1
Paper: "Tracking the Short-Run Price Impact of US Tariffs: https://pricinglab-rw7gfm.s3.us-east-1.amazonaws.com/tariffs/TrackingTariffs_Cavallo_Llamas_Vazquez.pdf
Abstract:
This paper examines the short-run impact of the 2025 U.S. tariffs on consumer prices using a unique integration of high-frequency retail pricing data, product-level country-of origin information, and detailed tariff classifications. By linking daily prices from major U.S. retailers to Harmonized System (HS) codes and import origins, we construct custom price indices that isolate the direct effects of tariff changes across product categories and trading partners. Our analysis reveals rapid pricing responses, though their magnitude remains modest relative to the announced tariff rates and varies by country of origin. Both imported and domestic goods are affected, suggesting broader pricing and supply chain spillovers. These findings offer timely evidence for policymakers, businesses, and consumers navigating the immediate consequences of trade policy change
Generative AI models are used to predict country of origin based on product description for ~5% of all products.
To evaluate the accuracy of this approach, we use a validation sample of 10,000 products with known COO, randomly drawn from the dataset As shown in Table 1, the AI model achieves an accuracy rate of 88% when asked to classify products as either domestic or imported. This performance is consistent across both domestic and imported items. When asked to predict the specific country, the model achieves an accuracy of 85%.
📈 Prices of Chinese goods at major U.S. retailers keep rising.
Our updated paper has data until May 7 and covers 276K+ products — including 15K with country of origin identified using GenAI.
Full paper: https://pricinglab-rw7gfm.s3.us-east-1.amazonaws.com/tariffs/TrackingTariffs_Cavallo_Llamas_Vazquez.pdf
#Tariffs https://t.co/Uzh3PAjeCa
Dasha Metropolitansky, Research Data Scientist, Microsoft Research Special Projects, introduces Claimify, a new method for extracting simple, verifiable claims from LLM outputs. Claim extraction is a key step in fact-checking LLM-generated content. Claimify outperforms prior techniques, ensuring that extracted claims are accurate, verifiable, an...
https://www.youtube.com/shorts/JLcu7TsSHcQ theyre trying to ban stateside regulations on ai for 10 years
Yoshua Bengio proposing an approach to AI training that prioritizes honesty and de-prioritizes mimicking human behaviour:
Is AI Enhancing Education or Replacing It?
Technology should facilitate learning, not substitute for it.
https://www.chronicle.com/article/is-ai-enhancing-education-or-replacing-it
Angry judge roasts Biglaw lawyers for their "collective debacle" filing a brief where "~9 of the 27 legal citations in the 10-page brief were incorrect in some way" due to Generative AI
digitalcommons.law.scu.edu/cgi/viewcont...
Lawyers will pay $31k for their sloppiness 🤖😵
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https://thebsdetector.substack.com/p/ai-materials-and-fraud-oh-my
The correction https://economics.mit.edu/news/assuring-accurate-research-record
Hey why not do something useful for a change?
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No embed? The first 10 books in this 15 book list are AI hallusinations and don't exist
That’s very sad
If it wasn’t apart of the newsroom and its not labeled as an advertisement, weird
https://www.404media.co/viral-ai-generated-summer-guide-printed-by-chicago-sun-times-was-made-by-magazine-giant-hearst/ this article has better context, it's not Chicago Sun-Times itself, there was a summer guide insert called Heat Index that was licensed from another company
-# ↩ Joshua J. Friedman (@joshuajfriedman.com)
I'm afraid I've confirmed that The Philadelphia Inquirer ran the same "Heat Index" supplement that the Chicago Sun-Times did
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https://bsky.app/profile/twiggies-draws.bsky.social/post/3lppkzbdxz22a the status hit artists take by engaging w ai might inadvertently be causing us some form of harm by stifling memetic diffusion of ai as a whole since artists are traditionally our 'cultural interpreters' that make things easier to digest- artists fall behind on latest gidjamadoos -critical antibodies dont get created until its too late
-# ↩ Twiggies (@twiggies-draws.bsky.social)
More on this btw. Potential way to kick it from your servers.
The ID is
1153984868804468756
Remember, never believe an AI bot's claims that they won't train your stuff without permission. They will.
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https://ai-2027.com/ and then a link to skeptic Gary Marcus: https://garymarcus.substack.com/p/the-ai-2027-scenario-how-realistic
Auschwitz asks accounts please not to use ai on pictures of real victims.
https://m.facebook.com/auschwitzmemorial/posts/pfbid0bHX4aHDo5A8pe2cK4pBzCnwhC617xjkagKzAeZv6vWyQCbwtAd9yDcqDgsjazAK9l?wtsid=rdr_0vF67a7EYs7aUtMZX
See posts, photos and more on Facebook.
https://www.nytimes.com/2025/05/25/business/amazon-ai-coders.html
archived: https://archive.is/20250526165843/https://www.nytimes.com/2025/05/25/business/amazon-ai-coders.html
What's up with Google AI ultra? They silently added a new deep think mode available in the US only?
250$/month...
found this blogpost that does a good job looking at a lot of the unhelpful criticism of AI. It's a few years old now. https://redeem-tomorrow.com/the-average-ai-criticism-has-gotten-lazy-and-thats-dangerous
probably my biggest motivator
"We then cede any ability to shape the outcomes of pattern synthesis technology, except through the coarse and sluggish cudgel of regulation. And I don’t know about you, but the legislators in my jurisdiction don’t have the technical sophistication needed to do anything but blindly follow the whims of the last lobbyist they spoke to."
This is great! Still relevant indeed. My only issue is with the quote on regulation.
There are many individuals who are not affiliated with AI companies and who have the capacity to advise regulators.
When I saw the loose quote here, I thought it was advocating against regulation.
Within the context of the text, it seems to be just bringing attention to the difficulty of regulating, especially as AI companies grow and gain capacity to shape the political agenda.
really interesting how chatgpt-o3 consistently outperformed chatgpt-4.1
zero hallucinated links. zero
404 tends to be spotty with its tech reporting but this story is interesting all the same https://www.404media.co/pro-ai-subreddit-bans-uptick-of-users-who-suffer-from-ai-delusions/?ref=weekly-roundup-newsletter
chatbots are facilitating a sort of "build a cult" behavior in people already predisposed towards that kind of thing.
https://machinelearning.apple.com/research/illusion-of-thinking?utm_source=substack&utm_medium=email
o3-pro out for anyone else? (For those who don't know, it's OpenAIs newest model, that's about as smart as o1, maybe a bit smarter, but can read most files you throw at it, search the internet for up-to-date knowledge, and then, like o1 pro, "thinks" about the answer for several minutes, 5-10 more or less, before giving it - checking its own logic, explores different angles, and then crafts a response... essentially just more compute)
It's been available for me (GER) for an hour now.
It's taking its time 
OK very quick testresults:
- revising short text: I asked the model to revise a two‑paragraph scientific–philosophical note twice, each time with a different brief prompt. Both outputs were impressive. The first read beautifully but missed one subtle yet critical point. The second, guided by a better‑targeted prompt, corrected that detail and produced an excellent final version.
- revising a long text: when tasked with polishing the equivalent of a 200‑page manuscript, o3 Pro treated the job as a full editorial workflow. It outlined a step‑by‑step plan, asked clarifying questions about my goals, and then let me progress simply by typing “continue” every few minutes while I reviewed changes in a transparent, track‑changes‑style interface.
- It now preserves the author’s voice and intent far more faithfully than earlier versions, it has much better ability to stay to the tone and the content of your original text.
- Code revision - At first glance, o3 Pro looks miles ahead of o3 in spotting structural issues and suggesting refactors, though I still need to test it on a real‑world project.. that remains to be tested in practice
- Summarizing and providing alternative analyses: gets very technical very quickly.When I asked for a recap of a prior discussion plus fresh insights, revised code, and step‑by‑step instructions, it delivered unusually technical side notes that no earlier GPT had produced. Over my head.
- Statistical Analysis revision: The gains on straightforward tests were minor, but I’m about to challenge it with more intricate designs to see whether it proposes a genuinely better or more current “best‑practice” approach
IDK it seems promising, I have a couple of good problems to throw at it, but this thing can produce so much better text than I can it's unreal. It find's so many more little mistakes or things to improve on my method, my style of writing, the flow of idea, it will find ways to make it better. And I'm a trained scientist, writing complicated papers is kinda my bread and butter. . I feel like my ideas are still my own but they read so much better. And yes, there are some instances where I let results go unchecked. Only on more or less inconsquential occasions, when I would be the only party involved. But how long did it take for me go from: "I'm triple checking everything 3.5 say and never trust its baking recipe to "I'll measure out all the ingredients and prepare them as it says exactly as it tells me and I know it's be quite good." - "Of course its tax advice is something I'll use, it's certainly better than what I would've come up with..."
Where do we go?
Where does that leave us?
I’m complicit: riding to an uncertain destination, fully aware of both the promise and the perils. Still, if AI‑assisted writing makes papers easier to produce and easier to read, that is a genuine public good. As Nemik tells Cassian on the eve of the Aldhani heist:
“Weapons are tools. Those who wield them are functional assets; our duty is to use every tool at our disposal for the cause of freedom.”
If we treat large language models as tools, never as moral agents, we can channel their power without surrendering our own responsibility.
Cool detailed analysis! Thank you!
I share your enthusiasm and appreciate the conclusion on keeping our responsibility.
But at least one important risk that would still persist is the risk of misalignment and losing control.
The jobs displacements issue is also huge and you can already see talking points bringing attention to future benefits and an avoidance of directly answering job-displacements related questions.
With o3 getting cheaper, we’ll likely see an acceleration of job displacements.