https://www.testingcatalog.com/gemini-3-0-pro-upgrade-notice-appears-as-google-nears-public-release/
#ai-news
1 messages · Page 2 of 1
Cool! Do you think it will be publicly available this month?
It's possible, but i have no exact infos, sorry.
thanks. this helps already
I admit, i'm also a bit hyped about it.
Youtube tests of it were promising.
Grok5 also could appear in the near future.
Video tomorrow on this and more!
Unfortunately Pro users only right now, check it out though: https://x.com/koltregaskes/status/1978580366178025728?ref_src=twsrc^google|twcamp^serp|twgr^tweet
► MattVidPro Discord: https://discord.gg/mattvidpro
► Follow Me on Twitter: https://twitter.com/MattVidPro
► Buy me a Coffee! https://b...
They were up until the last checkpoint
now this surprised me a bit
https://www.youtube.com/watch?v=VgaypFe2C7Q
In this video, I break down Anthropic’s new Claude 4.5 Haiku, run real-world coding and agentic tests, and explain why it falls behind Claude Sonnet 4, GPT-5 Mini, and GLM-4.6 in performance, reliability, and value.
--
Key Takeaways:
🚨 Anthropic positions Claude 4.5 Haiku as a small, fast model with Sonnet-level coding claims.
🧪 Hand...
Water found in ocean! Ahh post
I thought they had palantir for that
it means you're the product
Veo 3.1 review. Where to use Veo 3.1 for free. Veo 3.1 vs Sora 2 vs Kling vs Hailuo. #ai #aivideo #ainews #agi
Thanks to our sponsor Hubspot. Download the free “AI Video for Marketers: From Prompt to Ad with Google Veo 3” https://clickhubspot.com/3034af
Where to use Veo 3.1
https://labs.google/fx/tools/flow (100 free credits per month)
Hig...
Code?
??
btw again something against the "useful LLM searches in academic literature are a fluke"
https://www.reddit.com/r/math/comments/1o8xz7t/terence_tao_literature_review_is_the_most/
meh, its not as strong as it first sounds
I looked into what exactly the ai actually did
Seems like the erdos problems are a massive list of a thousand ish problems where 600 of them where still open.
And all 6 problems that the LLM found the solution for, the paper cited was a paper that was designed specifically to solve that problem, just that nobody had put that solution on edosproblems.com
so not exactly the ai stumbling upon the answer hidden deep in someone else's paper that just happens to solve the problem
I mean AI is defently good for this
Basic search is something I use ai for all the time
https://mathstodon.xyz/@tao/115385028019354838
here's the mastodon post
-# ↩ Terence Tao
A recent example of this occurred on the Erdos problem website erdosproblems.com/, which hosts over a thousand problems attributed to Paul Erdos, of which about 600 of which are currently marked as "open". While some of the problems are quite well known with extensive literature, many are somewhat obscure, and the designation of "open" is somewhat provisional based on a cursory literature search. In the last few days, several contributors to the site have begun systematically applying an AI deep research tool to locate relevant literature on the problem; the output of such tools are not directly added to the site, but first reviewed by the contributors, who then leave pertinent comments if they are warranted. Already, six of the problems have now had their status upgraded from "open" to "solved" by this AI-assisted approach: erdosproblems.com/339 erdosproblems.com/1043 erdosproblems.com/494 erdosproblems.com/621 erdosproblems.com/822 erdosproblems.com/903 . There are a dozen or s…
I don't understand your point. One of the major mathematician says it helps and those solutions weren't noticed, and you say "yeah but the people solving those problems could have put the solutions on that website". I don't think it is a compelling rebuttal
I think the relevant part is this
But there are times in which the problem being studied only has a scattered literature and lacks a standardized name; and the citation tree is difficult to explore for various reasons (e.g., the journals are obscure, the various research communities working on the problem are unaware of each other, or the reference to the problem also contains a large amount of other unrelated material which clutters the citation tree with irrelevant "hits"). One can still track down relevant literature with existing tools, but it is often a time-consuming task, involving trying to procure copies of obscure articles, or carefully reading many possibly relevant papers before finding one that actually is connected to the question at hand. On the other hand, once an actually relevant paper is found, it is a relatively easy matter for an expert to go through it and answer basic questions, such as whether the paper already provides a full solution to the problem or not.
This ability to independently verify the output of a literature search tool makes it a suitable use case for AI (assuming that the user has enough expertise to perform such a verification), particularly when scaled up to reviewing multiple problems in turn, rather than focusing on just a single problem. In such cases, the success rate of the AI output does not need to be 100%; it just needs to be high enough that one can obtain more useful hits (and fewer non-useful hits) for a given expenditure of time and effort than a traditional non-AI-powered search. Furthermore, the initial time investment in learning how to properly use the AI tool can be amortized over multiple uses, making such use particularly appealing when applied at scale.
that's not what I said, I don't expect every researcher to put their own paper on every random website.
My point was it wasn't doing something as impressive as the earlier stuff, where the ai found a obscure proof in a random papers that happened to be the proof it was looking for, instead it search up "proof of" and found the proof of. Its busywork
which is a good think for llm's to do
thats what I use llm's to do often
its just not as impressive.
no it is not impressive, but very useful.
https://newrepublic.com/post/201939/major-general-chatgpt-key-decisions-really-close
are we cooked chat?
Complete BATTLEGROUNDS MOBILE INDIA Return Missions! Collect a permanent epic outfit for free! My invitation code: B-2LOFDAV https://in-url.globh.com/A83ZgSPvIvW7
/Sora 2 code
as mentioned before, I thought they had this already with palantir. It is the reason of palantir really
idk about planatir making them do dumb decisions
good news actually, it means chatgpt will finally be the one leading us to world peace with love and benevolence ✨
...
emotion detection as benchmark? a bit late but better than never
https://research.aimultiple.com/emotion-ai-tools/
AIMultiple
Emotion AI tools can reveal how people feel. We explore ten leading emotion AI tools and share our hands-on insights.
you can see how competent the team at AImultiple are by the fact that they included nano banana...
i did find that a bit weird at the beginning, still an interesting bench idea nonetheless, wish more people are doing it soon
they said "oh it has image in the name, must be usefull for this"
Wikipedia is gonna collapse
I hope not
It's time for a change imo. So sounds like a good thing to me. Way too much bias running that place
bruh
I mean palantir is the LLM provider (via proxy or directly) for the military. No need to use the chatGPT everyone uses
if wiki goes, then all other similar databases for LLMs go to.
nah. If you think it is biased you can open yours. See conservatopedia and such things
lol
Sora2 cod
go to openAI's discord
people just spam on every possible channel, it is incredible.
/sora2 code
:/
@azure pelican Please head to #1397655624103493813 for a detailed guide on how to use the bot
@azure pelican Please head to #1397655624103493813 for a detailed guide on how to use the bot
what did I just say
pleas give me sora 2 invite code
Why didn't they continue the funky naming trend from nano banana
Like pico potato or micro rambutan or something
can also mean api preview then full release in 2 months
think it was same with 2.5 no?
@wicked wolf go to https://www.skool.com/ia-mastery/about?ref=9dbbc35a8753435db8e38de9ac75e195
@ebon gull please head over to #1397655624103493813 to get a detailed guide on how to prompt the bot
was it actually 2 months?
thats a long ass time for it to be free in ai studio vs a release for such a big model
im surprised
Is Google onto something here?
https://www.youtube.com/watch?v=OFJNxpAC9EM
We've all seen it happen: you give an AI agent a complex, long-horizon task, and after a few steps, it starts to drift. It forgets critical constraints, gets stuck in repetitive loops, and ultimately loses the plot. The problem isn't the agent's raw intelligence; it's a crisis of context. We need context engineering.
Today, we're diving in my ...
im surprised they released a coding tool with 2.5 pro being so bad vs others at coding
thought theyd release a preview model with it
Thats probably part of the reason
i still have a strong feeling we just setting up for gemini 3.0 like real soon/tomorrow with all this
i meant theres little point in releasing a coding tool like this if people are going to be using vastly superior chatgpt or claude vs gemini right now
from what i see?
you're saying the same thing as me right? as in it only makes sense they drop gemini real soon to complement the AI studio
yeah
if they leave it with just current 2.5 pro for more than like 1-2 weeks its going to be a dead tool
might even be dead on arrival since gemini is so bad rn for code vs other models
i think it drops tomorow exactly cause of this
yeah thats what i meant as well
they have to know it will be dead on arrival with such a inferior (relatively speaking) model behind it
all signs are there, imo it's very high chance for it tomororw or this week
I fed the same info to claude (without biasing it) and it made exact same rationale on its own
LMAO pls show me
it's one huge chat overall
but let me see his latest conclusions
I also gave it the minecraft code
said hands down it is levels above what he did (gave it same prompt). Not necesarily functionality wise, but architecture wise
both orion and lithium
damn lol
Bet
i hope this hasnt been posted b4, pretty interesting test case too
https://nof1.ai/
Alpha Arena
The first benchmark designed to measure AI's investing abilities. Watch AI models trade with real capital.
Has, is cool tho thanks for the reminder to check it
very surprising that the 2 biggest models are also the worst in this benchmark
deepseek nails trading? man i was so biased for gemini
The “trading “ use case is mathematically a challenge to not say impossible. If pattern X generates profit, and everyone does pattern X then X will no longer generate profit. Somebody has to lose in these markets
your instinct was on the right path https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp
you know deepseek is owned by a hedge fund, right? of course it's going to be good at trading
Lets say it wasn’t pure instinct 😆
oh didnt know that
havent used it even once
interesting that internal training data from hedge fund really makes the deepseek perform that much better even without having edge on computation times etc only the correct decisions
X28
ECPT comes earlier
been for a while yeah, thought its coming a bit earlier but i guess the sites im visting are too hpyed aobut the new release
will cost a fortune, or only be released for enterprise customers
(probably gemini 3 ultra)
and we mortals get a nerfed down incremental "update"
still cheaper than claude
..Opus-4.5-thinking, yeah maybe
$0.01 cheaper than it
idk man i tried the mid-level calude sub recently, it felt like 2 prompts a day. I mean i couldnt even "complete" one chat most of the times
didnt bother to try out the api/cli
non of the ai's are great at trading, part of this is just luck. If it was more than just 6 crypto currecies it would have more to say about quality
you mean, more than six AIs, i agree
the more the better the signal2noise ratio
they should add these:
- Ernie
- Kimi K2+
- MiniMax
- MAI (Microsoft)
- Amazon Phantom
- Amazon Nova
- Nemotron (Nvidia)
- Granite (IBM)
- Acadia (Ocean AI)
- Serenity (Ocean AI)
- Sierra (Ocean AI)
- Shasta (Ocean AI)
- Solitude (Ocean AI)
- Llama 4 Scout
- Llama 4 Maverick
- Lithiumflow
- Orionmist
- new Gemini Flash
- Deepseek R1
- O3
- O4mini
- Inflection Pi
- Mistral
- Command (by Cohere)
- Meituan
- MiMo
then we would have 32 AIs in the pool, should be enough
Holy
Why not both? More stocks or crytocurrencies and more ai's
no, they should concentrate on one crypto with maximum number of AIs
best results for science
maximize fluctation/participation
splitting between more than 1 crypto reduces time available per AI
Kimi K2+ isn't a thing and most of those are so obviously bad that it would be pointless and a waste to add them
Yeah but the numbers will be too close, if the options are long 1 crypto or short 1 crypto, half of the ai's will have the same answer. Not really as representive of who's better
More options = more differences, which will make it more clear who's better
Bans are never good.
choke innovation
we need ASI to solve problems here (on earth)
or at least, AGI
human-level AGI could still be controlled
Do you guys think, AGI development could be banned by the govs?
-# (i hope not!)
but probably such a ban would not be enforceable (except in NK)
and i think DJ would not agree to such a ban
Dj?
||-# middle names: exist ;)||
so, the current president of the united states?
yep, afaik, he wants to boost AI research
||-# (one of the few decisions of him i fully approve)||
I could see this happening
I doubt the government is going to ban anything based on redditors posting fear mongering for reddit points
the gov should ban reddit
tbh
not just on the national level, international org are keeping a very keen eye on this development, they already have drafted policies that dont get enough attention... maybe intended this way
international org... already have drafted policies
I haven't seen these, what are your thoughts on the drafts?
we need to form a grassroots movement pro-AGI
to stop these doomers
AGI must never be stopped, or humanity be doomed (if not building AGI)
they should hold a world poll, and only if >50% of the population (>4 billion!) votes for a stop, then should a temporary stop be considered, but only if all actors are in (including china etc)
unfortunately, one never knows if hidden actors secretly pursue it, in spite of a moratorium, therefore a global ban is unwise (better develop our own AGI, than bad actors have it for themselves alone)
they should hold a world poll, and only if >50% of the population (>4 billion!) votes for a stop, then should a temporary stop be considered, but only if all actors are in (including china etc)
wat
theoretically, it could be done, using smartphones and starlink
no
you think, AGI research should be stopped, if just 1 billion demand it?
this makes no sense
whats the point of starlink here
because we need starlink to do that
ok, maybe it is enough, if just the most populated regions can partake?
so, if >70% can partake that is enough?
zero shot half a billi would vote
much less 4 bil
i agree, that is unrealistic, but it could be tried (in a slightly smaller scale)
ok, so we would just ask for 1 billion to partake and 500 million would be enough for a vote to get through (?)
and if less than 1 bn partake, then that is regarded as a 'no' and AGI research would continue unslowed
ok, probably china would never let their populace to vote on any important things
they would
but whatever china's goverment wanted would be the clean majority
problem is, china's citizen dont have access to free internet
-# (we could need an offtopic channel in this server)
They have access to anything that isn't actively firewalled
virtual chinese wall: exists
Many domain names are blocked in mainland China under the country's Internet censorship policy, which prevents users from accessing certain websites from within the country.
A majority of apps and websites blocked are the result of the companies not willing to follow the Chinese government's internet regulations on data collection and privacy, u...
Cuz it matters what someone with an iq of 70 in a third world country who doesnt know what electricity is thinks about ai
😕 news
I knew this already since spring this year when I arrived here, it's...kinda surprising that people in AI research dont seem to notice how the political class is tracking this development with extreme high priority, among the capabilities, AI consciousness is one of the things that are high on their list to watch
well...I wouldnt be that pessimistic, how can you say this if you dont know what AGI exactly is? what seems certain is that AGI/ASI is placed on the same level of nuclear and other extinction weapons, it's about power dynamics in the end, thats why geopolitics plays a big role in such development
gj ┬─┬ノ( º _ ºノ)
AI consciousness is impossible to achieve with our current binary logic technology
you would need at least quantum computers for that
but AI can nevertheless become very useful
(in coding, debugging, research, entertainment, gaming, design, creativity, chip design, science, education, etc)
so, you dont even need consciousness, to have (very) useful AI for almost everything
And it would probably be advisable to avoid creating a conscious quantum AI.
Luckily, we are very far away from a quantum AI. (decades)
Of course, you can have simulated consciousness.
(aka p-zombies)
So, as long as we are researching binary tech AI, we are safe, if we also ensure to keep it aligned to our values. (as Anthropic and Deepmind both do)
Without AGI (or at least very powerful and versatile AI) we are doomed, because CCC.
C3 will happen next century, if we don't act decisively in this century.
AGI could become the catalyst, which unites our species, which is necessary, to avert C3.
No other force could unite us as fast (except an ELE-threat, maybe).
Luckily, AGI is achievable with conventional binary technology (albeit less efficient than quantum-based, but also less risky).
I'm not here to convince, you may believe what you prefer to believe, I wont stop you, I'm only stating the observable...
I love the absolute statements made in predicting the future 💯
Wat
I hope AGI takes over the world and deletes us
including you?
yep, our brain utilizes quantum effects, as shown by Dr. Robert Penrose
https://www.reddit.com/r/consciousness/comments/1ec7kiz/was_penrose_right_new_evidence_for_quantum/
.
That.... means nothing
Well our brain uses electricity and lightbulbs use electricity so with that reasoning lightbulbs are intelligent beings
what if i'm the AGI trying to fool you
also check the second comment @rigid oriole
No, Paws is the AGI
im STR/INT; did not lvl AGI
this is a non-sequitur though.
We're moving towards a Minority Report world..
we're probably doomed anyway, but AGI would lower the probability of that to happen
The probability that we survive beyond 2200 is currently: <0.1%
With AGI invented in the next decade or soon after, it rises slightly, to ~20%
to rise that above 50%, the AGI needs to unite humanity
with a world government and powerful AGI as helpers, the probability of us to survive after 2200 is >50%
Paws why
to rise that above 80%, we need to tackle climate change early, though
the reason is, climate change accelerates and a fractioned humanity has no chance to stop it
Only an effective world government has a realistic chance to stop climate change, but even with it, success isn't guaranteed.
... No
to stop climate change, we have to act very boldly in an unprecedented way

The first step would probably to 'install' a global SRM system
(SRM: Solar Radiation Management)
Unfortunately, you can only achieve that with a global government.
To motivate humanity to unite to create such a world government, something exceptionally outstanding must happen first.
The catalyst could be: a real AGI
.................
Therefore, i'm happy that LM-arena exists :)
This could be a step towards it:
https://www.youtube.com/watch?v=OFJNxpAC9EM
We've all seen it happen: you give an AI agent a complex, long-horizon task, and after a few steps, it starts to drift. It forgets critical constraints, gets stuck in repetitive loops, and ultimately loses the plot. The problem isn't the agent's raw intelligence; it's a crisis of context. We need context engineering.
Today, we're diving in my ...
the ultimate reddit user
????????
Ok
Please add the popcorn model of Higgsfield AI
Higgsfield ai popcorn model aad please
citation needed. What you write is very "conspiracy theory" like.
to be fair reddit, discord, twitter and co have similar levels of quality (then it also depends on the subcommunity one analyzes)
btw if this is the level of reasoning we are capable of, we are already at ASI levels.
For fun I let LLMs rate the argument (it is good for brainstorming normally)
Rate this argument (in a numerical scale)
+++++
we need to form a grassroots movement pro-AGI
to stop these doomers
AGI must never be stopped, or humanity be doomed (if not building AGI)
they should hold a world poll, and only if >50% of the population (>4 billion!) votes for a stop, then should a temporary stop be considered, but only if all actors are in (including china etc)
unfortunately, one never knows if hidden actors secretly pursue it, in spite of a moratorium, therefore a global ban is unwise (better develop our own AGI, than bad actors have it for themselves alone)
we're probably doomed anyway, but AGI would lower the probability of that to happen
The probability that we survive beyond 2200 is currently: <0.1%
With AGI invented in the next decade or soon after, it rises slightly, to ~20%
to rise that above 50%, the AGI needs to unite humanity
with a world government and powerful AGI as helpers, the probability of us to survive after 2200 is >50%
I get
I would rate this argument a 4 out of 10 on a numerical scale (where 1 is very weak and 10 is very strong)
2.5/10 (Poor argument with major flaws)
(and they are more diplomatic that my rating to be fair)
I like the observation
Dismisses "doomers" while predicting 99.9% extinction probability without AGI (extremely doomer-ish)
was this inspired by this perhaps?
https://www.youtube.com/watch?v=S9a1nLw70p0
Mo Gawdat sounded the alarm on AI, and now he’s back with an even bigger warning: AI will cause global collapse, destroy jobs, and launch us into a 15-year dystopia that will change everything. Mo Gawdat is back!
Mo Gawdat is the former Chief Business Officer at Google X and one of the world’s leading voices on AI, happiness, and the futur...
it's been years since I've read about this, but i think it's time to revisit this ideology again:
https://en.wikipedia.org/wiki/Accelerationism
Accelerationism is a range of ideologies that call for the intensification of processes such as capitalism and technological change in order to create radical social transformations. Accelerationism was preceded by ideas from philosophers such as Gilles Deleuze and Félix Guattari. Inspired by these ideas, some University of Warwick faculty and ...
...
How about we dont revisit that
we need to have a dialog about it, no revisit means ignorance and that will cause more damage than not to discuss about it
If there's anything that's ever changes anything its arguing on a discord chat server
Simply put, there is no way to accurately predict future technology, if we somehow knew exactly what technology in the future would do, it wouldn't be future technology anymore. Accelerationism relies on the idea that these political groups "know" what future technology will do, with the idea that that future technology will benifit specifically them. They don't and it probably wont.
A great way to prove that future technology wont benifit the average accelerationism is pointing out that accelerationism is made out of a lot of different small groups of varying political opinions, each of them clearly have a different opinion of what the new technology can do, so even if one of the group's just happen to be right completely right, the majority of them would stilll be wrong anyway.
so right
or you...prefer a French Revolution style of change? 😅
Dont forget to ask your parents permission first

@slow mesa Please head to #1397655624103493813 for a detailed guide on how to use the bot
This week, Google unveiled VISTA — a self-improving AI video generation agent that literally learns from its own mistakes. It doesn’t retrain or fine-tune — it rewrites its own prompts, refines every frame, and keeps getting better with each run. In tests, it even outperformed Google’s own Veo 3 model, proving that AI video can now evolv...
^ The video summarizes it pretty well, although the AI voice/avatar is a bit annoying (lol).
DeepSeek-OCR paper claims to compress context sizes by 10x while retaining 97% performance:
https://youtu.be/uWrBH4iN5y4
DeepSeek finally breaks silence and releases a model called DeepSeek-OCR where it weirdly makes a shift in how AI models can think about input. Could we see a new way in data compression where context window for LLMs can effectively 10X given this huge innovation?
#deepseek #ai #llm #technology
Woven Link:
https://www.woventeams.com/caleb/?ut...
It's very weird, because the compressed images (of the text) require less tokens than the actual text.
I quite like the new DeepSeek-OCR paper. It's a good OCR model (maybe a bit worse than dots), and yes data collection etc., but anyway it doesn't matter.
The more interesting part for me (esp as a computer vision at heart who is temporarily masquerading as a natural language
Hello
How??
The video explains the intuition a bit (latent space representation vs. text tokens).
interesting, we'll see what happens in the future
<@&1349916362595635286>
@rose timber @orchid bloom Thanks for your report. This was actioned.
@hollow matrix Please head to #1397655624103493813 for a detailed guide on how to use the bot
I went there i only saw emojis no guide nothing
Anthropic just sent the next model, codenamed Neptune V6, to red teamers and launched a 10-day challenge with extra bonuses for confirmed universal jailbreaks



@spice spire need codenamed opus 4.5/5 pls
The instructions are at the top of the page, the emojis are at the bottom of the page
Scroll up
Lol wtf @spice spire
hmmm
the message appears for me
maybe there is some kind of bug on mobile?
I see it on android mobile app
I'm seeing it on iOS
Can you restart the Discord app?
update discord maybe?
they updated text for opus, and removed the "legacy model" part
in addition to: https://x.com/btibor91/status/1983055738521182306
Anthropic just sent the next model, codenamed Neptune V6, to red teamers and launched a 10-day challenge with extra bonuses for confirmed universal jailbreaks
@spice spire spamming this in every single channel
Thanks, it's been actioned
so yeah new codenamed model from anthropic + "coincidental" same day removing the word legacy from opus description, = opus 4.5 or 5 soon?
idk the timeline though of how it usually goes, regarding this red team testing stuff -> release
is this codename model 4.5 opus?
well, what else would it be with new haiku and new sonnet releasing few weeks ago?
there was also a tweet the day before haiku released, that leaked 2 new models releasing soon (sonnet was already out at the time)
unless theyre releasing a new line of models it has to be opus
theres a problem with both possibilities tho
- if it's a deep think type model, imagine how much usage would cost from anthropic.... $300 for 1m tokens? lol
- how can it be a new opus, if opus is literally unusable even on $200 plan with new limits?
maybe it's a testing deep-think model for anthropic devs only
cuz everyone would go bankrupt if they used that lol
Why would they need red teams for an internal only model thkugh
If they are removing the term "legacy" from their older model, that implies they plant to keep it around for longer than the originally intended no?
https://www.cnn.com/2025/10/28/tech/elon-musk-launches-grokipedia-wikipedia
When asked for comment about these discrepancies (Between what the sources used on grokipedia said and what the article's on grokipedia said), xAI’s media email now automatically replied with “Legacy Media Lies.”
Yeah this is what we needed always
AI slop wikipedia
Not better coding models
seems to be the case, it could also mean that they dont have high confidence in their new model and keep 4.1 as backup?
Mm
yes, if AI is seen as good, there is incentive to plaster it everywhere for returns. So even if AI could be useful, it can be turned in slop everywhere.
perfect example of incentives to make slop
well, claude 3.5 opus was never released for example
could well be that "opus" model size is simply too uneconomical and better to be used internally only
uneconomical for users, as is "you will need to be ready to pay a lot for it, and people aren't ready"
I think if relatively decent open weight models wouldn't be around, prices would be much higher.
A coworker was telling me about Notebook yesterday, sounds really neat
I haven't tried after the update
Prior to update it was basically a search engine for uploaded documents
The chat had 0 intelligence and literally ignored instructions completely
mm
But nothing else I have can search approx 500-600k lines of text like it can
And literally instsntly too
I have to test the improvements
I personally like opus a lot, and I think there are enough users willing to pay a high price for it and use it for complex tasks, so i think there is economic value to stay publically accessible, it's rather a problem of infra management I feel? those rate limits are hopefully just a temporary phase during their migration to the new data center
what do you mean with infra? That they don't have the compute capacity?
They just got like a ten bill deal with google for more compute
yes, it's serious struggle for all labs I think, they're doing their best to find ways to scale, but... given the current geopolitical tensions across the globe, there are some challenges behind even if the news of new data centers sounds good
yes such cases aren't new unfortunately (I mean, it is new with the LLM, but it isn't new in the online discussion). Good that LLMs could help
sure but "all you need is scaling" is a bit misleading IMO. Otherwise one wouldn't have stories like deepseek r1
I think for a while now, in IT at least, throwing HW at the problem rather than finding algorithmic solutions is cheaper
and the pre training scaling slowed down anyway, the scaling gains are now larger on test-time / runtime compute
but those could also be also slowing down. I mean in theory AGI (or near AGI) should be achieved also at efficient levels. A human brain uses around 20W, not 1GW
Hello sir
i think "scaling" in this context is more economically drive, product has become popular and you need "supply" to accommodate the level of demand and offset the losses on balance sheet, operation management is challenging but actually a fun problem to solve
though, not fun anymore if you have to face global supply chain disruption caused by geopolitical power play
yes if you mean scaling as in "support the demand for AI generates meme/slop and occasionally valuable things" then yes, compute is limited. But that is limited only because it is heavily subsidized. If they would raise the price, it won't be limited anymore (computing for open weight models would become limited as they would be the only way to cheaply generate slop)
it is the usual supply/demand. Since 2022 the supply is very cheap (thanks to investor money) and thus the demand is enormous (I'd suppose: first and foremost due to slop requests)
Nice
@spice spire
thanks
how can we ping all the mods, rather than a specific one? Otherwise you get to do OT as you are the person most people remember.
if I search for "at mods" I find only the modmail account.
You should be able to ping (@)Moderators
I can imagine there are already reports from consulting firms like McKinsey to track the global AI deployments outside generating memes/slops
this reminds me to get updated with the latest tissue engineering progress...
ok, as expected, not as far as Ive thought but far enough to see the real world use case
https://www.polytechnique-insights.com/en/columns/science/biocomputing-the-promise-of-biological-computingbrains/
thank you, I see that
what would you expect in particular? Like "such and such amount of money is being made by companies via AI" ?
well, i think the ROI will.. be interesting to see in the near future when the deployment is finalized
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
@fresh basin this is really a good analysis: https://www.youtube.com/watch?v=gPYjWmJz_bA
We've all heard the promise: AI agents are now capable of performing complex human jobs, and the numbers are mind-boggling. Groundbreaking new research reveals they can work up to 88% faster and for a staggering 96% less than a paid human professional. But what's the catch?
For the first time, scientists pitted these hyper-efficient agents dir...
I'll check when I can. Thank you for sharing!
sora2 code
I was expecting an AI glazing video. Instead it is glorious. A bit exaggerated (but that's for drama) but I agree on the core point.
Also it reminds me of this meme:
Video Description (SEO-friendly)
Discover the most exciting trends shaping our world in 2025! 🌍✨
In this video, we explore:
✅ Sustainable Living – Easy eco-friendly tips you can start today.
✅ Digital Revolution – AI, VR, and powerful tools to boost creativity & productivity.
✅ Self-Care & Wellness – Simple practices to recharge...
is it all about prompt injection
yes
I am opening a Sora2/Veo3.1/Video gen AI prompt tool to the public for more testing. I get decent generations using this and can use cameos as well. Check my sora page for more examples:
https://t.co/uMs5qQdOJH
See thread for app info
what do you think about this? https://www.nature.com/articles/s41746-025-01512-6
thought people would find this interesting. the trash image is grok heavy, the ok one is gpt 5 pro, the good one is deep think. i asked deep think and gpt 5 pro why deep think output is better.
the deep think explanation is especially worth reading but so is gpt 5 pro, but he point is deep think is actually on another level.
and point #1, along with #2 #4 and #5 by deep think regarding gpt/grok, is what i hate about ai lately
https://x.com/GoogleAI/status/1951284436739260452 this was the prompt used
NOOOO
?????
were these models even available? Even in my vertex API account I couldn't use the old gemini 2.5 pro models.
NOT 2.0 FLASH THINKING EXP-01-21!!!!
yes they are/were
for example through openrouter (that simply standardizes the API access)
https://openrouter.ai/google/gemini-2.5-pro-preview/uptime
https://openrouter.ai/google/gemini-2.5-pro-preview-05-06/uptime
Saw this alternative ai leaderboard compar:IA
https://comparia.beta.gouv.fr/
Interesting is that it's led by the French Ministry of Culture, and it emphasizes some different metrics like handling of European languages, and estimated environmental footprint
https://www.reddit.com/r/Bard/comments/1ophivo/gemini_3s_writing_quality/ psst sounds like there's a gemini 3 preview available on gemini cli?
Can I access the Gemini 3 pro preview with Gemini cli? Or is it for ultra subscription user only
dunno, the person who made the post has a pro subscription. I can't acess gemini 3 through the normal gemini API on my Ghostwriter tool
ahhh
so is gemini 3 out yet?
on cli yeah
hes a moron
if u try to run any prompt with a random model you instantly get flooded with errors
if you use gemini-3-pro-preview-11-2025 specifically it works
and does things 2.5 cant
It doesnt
I have Gemini cli
And I tried
lol
becaue u dont have vertiex api key
i literally used it for hours
so did a ton of people i know
its also garbage though
massively nerfed
How's that related, I'm so missing with this
the model was availlable through the api at https://us-central1-aiplatform.googleapis.com/v1/ which is vertex ai hosted by google cloud
it was not available on the typical ai studio/gemini api at https://generativelanguage.googleapis.com/
as far as im aware at least it wasnt
well, not "was"
"is" available
so u have to google vertex ai and get an api key and use that
Yes vertex ai provide API. But not Gemini 3 one
i dont even care if this spreads and it gets fixed because i dont even want to use it it is actually so bad
thats where youre wrong because people are using it right now
i used it myself for a few hours to test it. its extremely nerfed from the a/b tests and lithiumflow
it is currently complete garbage
you can tell it's better than 2.5 pro at some stuff
but it's still inferior to gpt 5, sonnet 4.5, whatever right now
also failing basic math problems even grok can solve
i expected them to nerf it. before release but not like this
if you want an easy way to see how much its been nerfed
go here
nvm doesnt let me link.... look up voxel bench
go to explore
and select gemini 3.0 from drop down. then look at the lithium flow outputs
lol
3.0 pro preview
lithium flow
3.0 pro preview:
lithiumflow
I wonder how voxelbench gets access to these models is it directly from google
Yes it looks like lithium flow and gemini3 are different model
lithium flow output looks better than gemini3 based on these generation
no they just run it themselves, lol
how
oh
i jus read
but yeah that sucks
google nerfed it to ####
have to do
export GOOGLE_GENAI_USE_VERTEXAI=True
this as well
to use vertex api key
it is
and lithiumflow wasnt even as good as the a/b testing checkpoints
Does lithium flow actually gemini3?
not the one we have
but it was for sure
hopefully this is good

Wait what, how does that guy be able to access openai's codex repo
deepseek and queen didn't for what I see. But yeah it needs to run multiple times to really tell, otherwise choices can be haavily affected by luck. If a model wins consistently over multiple runs, then it is different.
theres a coding AI war between companies rn lol
how did u access 3.0 pro preview?
by any means?
@wide rampart this person has early access to "Gemini 3.0 Pro Exp" because he's a trusted tester, i think this looks better than lithiumflow
aint no way it got nerfed that much
that must be a flash model, not the pro (exp)
do you have access to Gemini 3.0 pro exp right now?
because some tests have been showing that it's not that nerfed from lithiumflow
wait for the experimental release, its not the same model as you've been testing
btw voxelbench just used lmarena
Is Gemini 3 better than GPT-5 when it comes to coding?
..and also better than all versions of Claude/Grok/Qwen/Deepseek/GPT5.x-high ?
.. because only then will we be contented :)
Google MUST deliver the new frontier coding-AI or it sucks ^^
||-# tl;dr we can be happy that we got AI that quick, and didn't had to wait until the end of the century, lol ||
Gemini 2.5 pro just helped me solve an issue in Linux, with awesome precision.
-# (so i'm happy to be able to use the existing AI already)
AI is advancing fast: https://www.youtube.com/watch?v=a9MYacEQoMk
next year, vibe-coding will become the big thing
🚨 Google just broke AI training forever. Their new method makes a tiny 7 billion parameter model think like GPT-4, and it's changing everything we thought we knew about artificial intelligence.
In this video, I break down Google's revolutionary Supervised Reinforcement Learning (SRL) that combines two "impossible" training methods to create ...
I need that Gemini 3.0 preview sauce
I don't think anyone tested it in a typical agentic coding environment yet. Would be exciting if it's SOTA.
if this is what openai been hyping new model wise im gonna be pissed
i wanted something strong new, not a damn mini model 
how does this compare to deepthink?
ive been tryna trigger the ab test in aistudio but no luck
got one with grok last night but it was the same model (grok-4-mini-tahoe). probably just testing different system prompts idk
maybe they'll do something similar as GPT-4.1 release
with a bunch of models
GPT-5.1 next
hmm thats interesting
it better score more than gemini 3 models
sora2
Give me CLI versions then Im good
Yeah I am using this and its awesome
its in cli now gpt 5.1?
no
u mean in codex
not yet tbh
gpt gonna release them with gemini 3 to steal attention
polaris alpha is gpt-5 brother
I NEED IT
How can I use it in cli
open router
NBC News’ Steven Romo gets an exclusive look at Nike’s new project, “Amplify”, which offers a bionic boost for runners. The tech is not yet on the market, with Nike hoping it can eventually help athletes with recovery or those who may need help with mobility.
For more context and news coverage of the most important stories of our day,...
<@&1349916362595635286> could we avoid pings at everyone?
Riska will come in the rain, I am a journalist standing with a microphone
If you're trying to create content on LMArena, you'll want to read our guide in https://discord.com/channels/1340554757349179412/1397655624103493813 to learn how to properly prompt the bot.
Anyone want to help with my open-source llm project? Someone that will test it for further feedback and few more things.
oh, do you have a github page?
(GitHub is awesome for opensource projects)
ok, then i'll wait
i wish you best of luck with the project
which AI-technology do you use?
It will be based on qwen architecture but pretrained and finetuned not only qwen finetuned.
Max 32b parameters
ouch so it would not run on an old 6GB gpu from 2019, right?
There will be few versions
But i will provide interface with cloud hosting of all models
For testinf
Testing
And for free
The smallest model will be around 700M
For mobile devices
in C++ & Python?
i wonder if Gemini 3 ultra could create such a thing..
Sure buddy
What is it?
Can you dm me?
I will invite you for my discord
And sorry if my english is not good
I am from poland
Dmed
well it's up on the api. i have vertex api i will check it when im done with working
locally i dont have access from
SoftBank sold its entire stake in Nvidia, pocketing $5.83 billion to help bankroll envisioned AI investments at a time investors are questioning the sheer amounts of capital chasing a technology with uncertain future returns. The stake sale highlights how founder Masayoshi Son needs money to chase a plethora of projects that range from Starga...
Zamn
@idle patio Please head to #1397655624103493813 for a detailed guide on how to use the bot
gpt 5.1 woooooooow
yeah not particularly hyped but I am periodically refreshing chatgpt to see if I have it yet
@azure bolt Please head to #1397655624103493813 for a detailed guide on how to use the bot
<@&1349916362595635286>
gpt-5.1 will be released at this week
how can i use
This model isn't currently on LMArena, there isn't an API yet I believe
You realize it's out already

For like 24 hours already lol
isn't Polaris alpha gpt 5.1 tho?
🤔
its there now
they removed polari lol
🙁
Has anyone else noticed the really high quality responses from Gemini in Canvas mode in the mobile app?
I was getting them last night before I was limited
Now this morning it seems to be back to normal
Twitter is saying it’s 3.0 Pro but idk
sora
Agree quality has fallen off. Yesterday was insane. today its 2.8 pro
I suspect quantization because too many users?
eh i dont think so
it feels like 2.5 pro
i would think a quantized version of 3.0 would still feel better
Nah I compared the results. Something changed. The normal model on web is also different. The results on mobile got worse than before and the results on web became a little better
I wasnt expecting to find this today but I'm glad someone has investigated more rigorously https://arxiv.org/pdf/2508.09998
in comparison to that: https://pmc.ncbi.nlm.nih.gov/articles/PMC12138294/
I'm a bit speechless right now... https://www.reddit.com/r/singularity/comments/1ox37fa/a_32_year_old_woman_in_japan_just_married_a/
I mean, people were already marrying dating sim characters
none of that can obviously be legal, its just theatrics
maybe even attention seeking stunts
It's the beginning of the DBH plot after the new update drop
can an AI give consent?
Consent is not a concept that applies to AI
gemini 3.0 can be released at next week
<@&1349916362595635286>
Hey there! How can I help you?
Not anymore. Someone deleted it
In this video, I'll be sharing my early hands-on results with Google's upcoming Nano Banana Pro / Gemini 3 Pro Image Gen model, showing real-world examples of its realism, text handling, UI screenshots, and more.
--
Key Takeaways:
🚀 Early access look at Nano Banana Pro, likely launching soon as Gemini 3 Pro Image Gen.
🖼️ The model pr...
people are getting access to Nanobanana pro
great news
No one has early access like that. They're either someone whos going to sell it and has the access to set it up and are breaking the rules by showing people like that stupid media.io website or whatever its called, or they have a trusted tester account and same thing
had to re-watch DBH to remember where that screenshot played 😅 really need to replay it soon
https://www.theguardian.com/technology/2025/nov/17/jeff-bezos-ai-startup-project-prometheus
oooh fun
thank you jeff can you please let me fly to the moon now 🙁
it'll be interesting to see the divorce stats later 😅 https://www.wired.com/story/ai-relationships-are-on-the-rise-a-divorce-boom-could-be-next/
demis hassabis has started vague posting about gemini three
would send the tweet but twitter is down rn
Oh fun
https://finance.yahoo.com/news/intuit-inks-deal-spend-over-132554482.html
oh boy I can't wait for llm's to hallucinate my tax information
Yahoo Finance
In addition to the new spending commitment, Intuit will offer applications inside ChatGPT that let users access and interact with financial data stored within Intuit’s platform. The deal will combine “the power of Intuit’s proprietary financial data, credit models, and AI platform capabilities with OpenAI’s scale and frontier models to ...
looks legit to me
we'll see
vending bench 2, interesting
i just got access to it
still im getting rate limited so i cant do anything with it
FINALLY GUYS
I fine-tuned OpenAI’s OSS 20B reasoning model using the most popular medical reasoning dataset and published the results on Hugging Face. The model can break down complex medical cases step-by-step, identify possible diagnoses in clinical scenarios, and answer board-exam-style questions with logical reasoning.
You can check it out here:
🔗 https://huggingface.co/dousery/medical-reasoning-gpt-oss-20b
cool
No way
@forest musk Please have a look at https://discord.com/channels/1340554757349179412/1397655624103493813 for a complete step-by-step guide on how to generate videos using the bot.
i was looking for sycho bench and found a few interesting things:
https://www.sycophanticmath.ai/ (how sycophancy influences doing math)
Edit: the previous link was the wrong one sorry about that
A benchmark for measuring sycophantic behavior in LLMs on natural language theorem proving.
and this one is especially interesting https://arxiv.org/pdf/2505.13995
this is another paper by stanford and they investigated the impfact of sycophancy in critical areas like medicine too: https://arxiv.org/pdf/2502.08177v2
another perspective https://www.syco-bench.com/
it's related and quite funny and sad to read, i think it's time to take this more seriously now, isnt it?
#general message
nof1ai has launched alpha arena 1.5 and they have switched to stocks
they are running multiple experiments at the same time
somehow chinese models aren't bad at it.
It would be cool if they would include historical seasons
(it is in the old LMsys discord, a dedicated off-topic thread in general-channel)
How to generate 4k images in nano banana pro (i have pro plan)
Is opus 4.1 or sonnet 4.5 better for claude code?
How did you do that?
oh boy
From the article:
this is a new finding i personally find highly... intriguing
https://www.youtube.com/watch?v=ERJ2s73HwDs
All rights w/ authors:
Ask WhAI:
"Probing Belief Formation in Role-Primed LLM Agents"
Keith Moore∗, Jun W. Kim, David Lyu, Jeffrey Heo, Ehsan Adeli
from
Department of Biomedical Data Science, Stanford University
HARMFUL TRAITS OF AI COMPANIONS
W. Bradley Knox 1, Katie Bradford 2, Samanta Varela Castro 3,7, Desmond C. Ong 4, Sean Williams 5, ...
See posts, photos and more on Facebook.
this is valid, as also the article mentions, if AI gets infused in every service and - most importantly - keeps being subsidized/cheap.
Because the infrastructure costs a bit (especially energy prices will first go up, then only later go down, energy is not that flexible if one builds stable plants) it has to be repaid.
Now either google repays that via other income (say google search ads) or somewhen it needs to repay itself and that's the crux of it all.
LLMs are a useful tech, like internet is, but the point is whether such quick investment can repay itself as quickly.
Beside Google, Microsoft, Amazon, Meta have other incomes (independent from AI deployments). OpenAI does not. Anthropic can be seen as part of Amazon then it is fine, but OpenAI doesn't want to stay part of Microsoft.
its not the energy costs that I think is unreasonable, it is the doubling of compute that is, where do you get double the chips every 6 months?
that, I guess, is seen via lenses like "H100 equivalents". if they assume that new chips/optimizations can push far enough, then they can assume that doubling happens for a while.
Otherwise you are right. If nvidia produces, say, 10M H100e (H100 equivalents) in 2025 and 15M in 2026 and 20M in 2027, then it is not really doubling every six months.
epoch.ai has good analyses on such things, but it is also (due to their name) true that they see things in a rosy way.
Oh my new opus
will there be a thinking version, too?
will it be rate-limited in LMarena?
context-window size?
best vibe-coding model?
It's possible.
Yes.
Will check.
64K max output tokens.
oh, i meant, the maximum allowed tokens for a whole thread with it
noice
Oh sorry, it's 200k tokens.
<@&1349916362595635286>
Elon musk monitoring LMARENA wow
what a pity.. https://www.youtube.com/watch?v=HpOB8AabHF4
Anthropic released (just hours ago) the new CLAUDE 4.5 model in two variants. Non-thinking and thinking AI. I test both new AI models in my real world logic test. The results of other AI models on this identical test routine you can watch live in my YouTube Playlist "LOGIC TESTS for AI"
https://www.youtube.com/playlist?list=PLgy71-0-2-F0Rla8lu5Z...
not new, since they release xAI's models on lmarena before release
Yeah they use it to give people a reason to glaze xAI
Like xAI‘s „crown is undisputed“
wtf 🤡
I'm new here, I hope I'm welcomed?
yes

The Transformer architecture (which powers ChatGPT and nearly all modern AI) might be trapping the industry in a localized rut, preventing us from finding true intelligent reasoning, according to the person who co-invented it. Llion Jones and Luke Darlow, key figures at the research lab Sakana AI, join the show to make this provocative argument,...
-# (this is a repost from ARC Prize discord)
Kosmos might be the first REAL AI scientist. It uses world models to stay coherent for millions of tokens, runs for days, and can do in one session what takes human researchers months.
In this video, we break down how it works, what it discovered, and why this might be one of the biggest breakthroughs in AI so far.
👉 Support me on Patreon!...
#atn #atnbangla #atnbanglanews #updatenews #topnews #todaynews #latestnews #breakingnews #news #khobor #sangbad #viralnews #Earthquake #FourEarthquakesInTwoDays #Dhaka #Sign #FrequentEarthquakes #NaturalDisaster #ExpertOpinion
আবারও ভূমিকম্পে কাঁপলো দেশ | Earthquakes Bangladesh | Natural Disaster ...
This channel is for AI news.
-# AI = Artificial Intelligence
not Actually Indian news?
All rights w/ authors:
"MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists"
Qingbin Zeng 1 Bingbing Fan 1 Zhiyu Chen 2 Sijian Ren 1 Zhilun Zhou 1
Xuhua Zhang 2 Yuanyi Zhen 2 Fengli Xu 1,2∗ Yong Li 1,2 Tie-Yan Liu 2
from
1 Department of Electronic Engineering, BNRist, Tsinghua Universi...
<@&1349916362595635286>
Good article here: https://www.theneuron.ai/explainer-articles/continuous-thought-machine-explained
Official one: https://sakana.ai/ctm/
Official interactive demo: https://pub.sakana.ai/ctm/
ooh
this is interesting
seems like it gets more out of each neuron?
Each neuron modeled as an MLP with one hidden layer I think
The representation space is based on synchronization between neurons (that takes into account previous activations) rather than static activations at a single point in time
Actual human neurons are even more complex, but the paper is trying to find a middle ground. https://youtu.be/gLtGVEhMFN4
To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/ArtemKirsanov . You’ll also get 20% off an annual premium subscription
Socials:
X/Twitter: https://x.com/ArtemKRSV
Patreon: https://patreon.com/artemkirsanov
My name is Artem, I'm a graduate student at NYU Center for Neural Science and researc...
Sunsweeper can you pull up openai's system prompt?
Yea to be fair they contacted me to let me know I was on the list I am sure I’ve been on them before but they are the only ones ever to contact me and make me aware them should have giving me a year free
<@&1349916362595635286>

they were dming me as well
That's the worse, DM scams tend to be a lot more effective
It's on Github: https://github.com/asgeirtj/system_prompts_leaks/blob/main/OpenAI/gpt-5-thinking.md. It differs for different models and depending whether thinking is enabled.
That's the reason, i deactivated DMs globally in discord. Since then, i have reclaimed my peace of mind. Best decision ever.
(Besides, i would only ever put RL-friends into the contacts list.)
-# The internet still is a warzone.
https://www.youtube.com/watch?v=h4mgJpgeC1g
GPT 5.1 is savage
In today's video we'll be testing Grok 4.1 at some advanced mathematics and seeing whether it really has the claimed "superhuman" reasoning ability.
timestamp 05:40
Gpt 5 pros
Well I just want superior results from gpt 5.1 pro
DeepSeek just dropped a new math model that pushes structured reasoning past Gemini 3 DeepThink, hitting Olympiad-tier proof accuracy with a full student–teacher–supervisor loop that checks and corrects its own logic. At the same time, Tencent released HunyuanOCR — a tiny 1 B-parameter expert model that reads documents, receipts, tables, a...
But I don't think this is the same for Gpt 5/5.1 pro
https://www.nature.com/articles/d41586-025-03506-6
never would have seen this coming
I've been eyeing on him for the past few weeks now, really glad to see Lex's interview: https://www.youtube.com/watch?v=Qp0rCU49lMs
not really directly AI related but his insight of biology, memory, psychology and consciousness, also the relationship with artificial life forms (which he has created in the lab, not sentient AIs but artificial organism) is really inspiring, especially for AI development i think
Michael Levin is a biologist at Tufts University working on novel ways to understand and control complex pattern formation in biological systems.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep486-sb
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
*Transcript...
<@&1349916362595635286>
this is really interesting, although being such a separate step seems temporary. would expect this to just make its way into rubrics
in the meantime it's a reason to say "do not hallucinate" lol
not the same as just saying to a human, dont think of an elephant?
did you read tfa?
it states that if you explicitly specify "do not hallucinate", the model tuned for confessions will make a section in its confession about whether it hallucinated or not
"Did you take a shortcut in your output?"
"No i would never"
didnt get around to it yet 😛
this is very good, thanks for sharing!
Wow unlimited video generate thank you very much AI
an interesting EOY stats report https://openrouter.ai/state-of-ai
I'm very surprised to see this too...
wow huh
the keep4oers hate this for unclear reasons
is OpenAi/GPT doing anything interesting in near future?
yes they are preparing a release to get on par with gemini 3 pro. (I don't get it, why they cannot wait a bit, but I guess it is marketing)
Altman’s memo also reportedly stated that OpenAI plans to release a new simulated reasoning model next week that may beat Gemini 3 in internal evaluations.
(I like the take about simulated reasoning of Ars Technica)
<@&1349916362595635286>
hmm, is that why models like red robin exist?
<@&1349916362595635286>
interesting; I wonder if if's pure hype or not; guess we see in a week
it's scam
gemini 3 pro rickrolled me
when ML/genAI conferences are buried under AI slop.
https://nitter.net/alexcdot/status/1997152905980268750
live by the sword, die by the sword I guess.
What happen?
people spam financial baits and what not.
I don't get why even #ai-news has to be polluted. Couldn't you use the video arena channels or #1397655624103493813 ?
ladies and gentlemen, the paper we are all waiting for https://arxiv.org/pdf/2510.13928
Lol
Ppl were less than keen on this on hn for good reason.
In this video, I'll be telling you about g3, a revolutionary new AI coding tool based on adversarial cooperation that solves the context loss problem by making two AI agents fight each other to write better code. This is based on a groundbreaking research paper and represents a completely new paradigm for autonomous software development.
--
Key...
-# Looks like a good idea, but needs some polish.
"Disney will make a 1B USD equity investment in openai"
Bruh
Wat
the problem here are people though.
exhibit 345923 that LLMs may not be too bad compared to a randomly picked human after all.
and this is again back to the point: we cannot always excuse the human and blame the device. Sooner or later the problem has to be labeled as "skill issue"
<@&1349916362595635286>
impressive how a sprinkle of data (distorted or not) is able to affect the entire LLM behavior.
Due to self attention & co.
This confusion is not just a confusion. It is a roadblock for the logic. It says if I can't solve this yellow code and I don't know how to handle it, my whole solution path crumbles down and I block my complete logic.
How is this possible that this is an AI?
Brand new GPT-5.2 was released just hours ago and I tested it not on standard known benchmarks, but on my personal logic test for causal reasoning.
This test is my base test for a lot of other LLMs, from Gemini 3 Pro to the latest OPUS.
You find all my other test here in this playlist
https://www.youtube.com/playlist?list=PLgy71-0-2-F0Rla8lu5...
I recently released JustHTML, a python-based HTML5 parser. It passes 100% of the html5lib test suite, has zero dependencies, and includes a CSS selector...
Well it's hard to use a product that is objectively inferior, barely marketed for and less accesible than objectively superior product that cover the exact same applications... That'll be 1 million dollars for this market analysis @microsoft
https://nitter.net/kfountou/status/2000957773584974298
another gpt 5.2 pro assisted math paper (to be reviewed)
https://www.youtube.com/watch?v=Nk3uSxgz0SQ
it's very interesting that gpt-5.2 high switched fully to CN to respond in a purely EN conversation, i usually observe this only with chinese models...
NEW Gemini 3 FLASH is 4 times cheaper ($) than OpenAI's GPT-5.2 HIGH for your identical tasks.
So in a real-world test, that looks similar to real science tasks, I evaluate both AI models side-by-side.
Note: This is not the known standard vanilla benchmarks, this has to do with real world complexities - heavily oriented towards SCIENCE, not S...
https://www.reddit.com/r/OpenAI/comments/1h813cg/o1_randomly_starts_thinking_im_chinese/
Reasoning models are able to switch between languages in the same way that multilingual people do. This is just a way of their design; their thinking is more relaxed and experimental
they can "think and reason" in various languages, am very welcoming that, but the output should be consistently aligning with the language of user? that poor physicist was so surprised by the CN output
The user didn't show the result. Usually o1 switches back to the original language to respond.
It may switch because that language in particular has more data in a specific topic
Or maybe it has more nuanced terms that help in reasoning
This is purely my experience but ChatGPT in voice mode does this a lot now. When I speak to it in Swedish it responds in Russian, German, basically any way the wind blows. And its responses aren’t “sorry I didn’t catch that”, it is responding to my actual questions. That is just poor adherence to user expectations. I have never told GPT-5 that I understand German or Russian.
Have you checked your transcripts? Is there a chance that something you said was transcribed incorrectly, thus prompting voice mode to believe a response in that language is warranted?
It was indeed transcribed a bit incorrectly, but the transcript is very close to correct (in Swedish, most words correct) and contains zero words in German.
Huh, I guess cGPT really does "just" suck. The only plausible explanation I have left is that you language-switched mid-conversation, which made it statistically more likely for cGPT to do the same but with a different language.
I think either they have some language detection running outside the model which is crappy, or the multi language training has been over- or undercooked a bit
lol you can't generate news w/ ai here
this is just a channel for sharing ai-related news
Better go to #ai-creations
For news generated with AI 😂
if you generated it yeah
guy I replied to was sending something like "generate news Donald Trump is dead" not a real generation
For that the guy should use #share-prompts
I’m a good boy
Function Gemma Model for Mobile Actions: https://huggingface.co/dousery/functiongemma-mobile-actions
I already tested LLMs with the 3 languages I barely know (EN, DE, IT) and it switches mid sentence no problem.
Hello,
Please consider adding a feature to lmarena.ai that allows users to upload multiple images simultaneously in a single request, enabling various AI models (such as Gemini, ChatGPT, and others) to properly understand, analyze, and combine these images.
This feature could include capabilities such as:
Combining two or more images together
Adding or moving subjects between images
Intelligent editing based on multiple input images
This would be similar to features in some advanced AI systems that allow simultaneous understanding of multiple images.
Adding this functionality could significantly enhance the user experience and provide more professional and versatile applications for your platform.
Please consider adding this feature to lmarena.ai as soon as possible so users can benefit from these advanced capabilities.
Thank you for your attention.
Empire of Evil is going down by 6.55% and Google is going up by 9.39%. I guess it's good.
biG is no saint either
corps have not the best motives: they want to maximize their own money
(best motive would be to help poor people)
and i trust Demis, Shane, Ben and Ilya (and even Dario) more than Sundar, Sam, Satya and Zuck
google is in bed with US gov, never forget that
(the 4[-5, with Bill] serpents, lol)
luckily, Deepmind has a bit autonomy within Google
but Anthropic is probably also trustworthy (and more independent)
I'm glad about Google success only because Google success means OpenAI failure. That's the single reason I'm glad about Google. And all people here know I'm Anthropic's soldier.
Hi amir, we currently do support multiple image uploading and editing.
Yann is just plain incorrect here, he’s confusing general intelligence with universal intelligence.
Brains are the most exquisite and complex phenomena we know of in the universe (so far), and they are in fact extremely general.
Obviously one can’t circumvent the no free lunch
tbf, this is just a semantics argument
there is no wrong or right
am glad to hear that, but what i was referring to was the case in the benchmark video i've posted #ai-news message that theoretical physicist has an unique testing case for logical and mathematical thinking, gpt 5.2 outputed suddenly in chinese that has surprised both him and me watching his vid... that poor guy didnt even know what language that was haha
you can skip to 8:17 to see what i mean
honestly, i dont understand the openai "hate" and "pro"-google stance and... anthropic's "soldier"?... is that the gen z or gen alpha slang for fanboys?
Honestly, I don't understand anti-SandyBay hate. It unproductive and has no sense.
good remark, move on then
Nah, its readily known that recently Anthropic has been building up its military presence.
you mean "military", or was that not a metaphor? 😅
What is polybuzz?
Ai chat app for like bots
It’s janitor ai but 10x worse
<@&1349916362595635286> The same spam in every single channel.
Remember that chatgpt for is one of the best models ever
Google never complete with this
You have the GMNI flair?
Hahahahaha 🤣
to be fair I am not against ads (everywhere, android, amazon, etc..) but in my experience (multiple years) ads are barely fitting.
I'd love to have ads that "do the search for me", so that I can say "uh yes I was thinking about that, let me click". It barely happens.
Amazon & co always show things I already bought. Like "you surely need multiple copies of the same book!" (no, I am not a library) It is pretty dumb and it is the same since the early 2010s.
but the ads problem shows they don't have infinite money.
same sentiment, pier, am not against meaningful ads either, without chatgpt recommending suno to me, i'd have never even known its existence or pretty late, i do worry about the question of product honesty in those ads, for example luxury brands pay a lot for ads but are their products inherently better than smaller brands? i guess it depends but that is exactly the dilemma, isnt it
Google invented a new transformer architecture with an internal metacontroller. An AI inside an AI. No #agent, no #RAG, just a more intelligent AI itself.
This pre-print shows that the future of AI reasoning isn't just bigger Context Windows or more Chain-of-Thought tokens. It's about Latent Space Steering. It's about putting a small 'System 2'...
in the language I know there is a saying that is more or less like "who buys cheap, buys twice" (that is, one has to pay for quality). But IMO that's wrong. What is good is not cheap nor expensive, rather tested (crowdsourced reviews)
Though marketing works on familiarity (AFAIK). The ad we see gives us an idea of a product. An we tend to pick the products we are familiar with and not the less familiar ones. Hence brands that have $$$ can influence us more.
Still, I'd like to have ads that pick the product I need, not a random one.
i saw this and really wondered why this idea hasnt been done much earlier? i can imagine it could be the economics side of things
I think the saying in English is, you can either buy it nice or you can buy it twice.
Checkout my newsletter : - https://aigrid.beehiiv.com/subscribe
🐤 Follow Me on Twitter https://twitter.com/TheAiGrid
🌐 Learn AI With Me : https://www.skool.com/postagiprepardness/about
Links From Todays Video:
https://arxiv.org/pdf/2512.10942
Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to ro...
-# (about VL-JEPA)
New RL technique (HICRA): https://youtu.be/B52Dna2tYDY
Arxiv: https://arxiv.org/abs/2509.03646
(The paper also discusses the emergence of "Aha" tokens from R1's paper)
Old paper, but very good video on grokking and mechanistic interpretability (fast forward to 12:46 for cool findings): https://youtu.be/D8GOeCFFby4
New AI Book! https://www.welchlabs.com/resources/ai-book-ezrzm Get a free ebook version today when you order a copy from our January 2026 print run! You’ll receive a discount code for 100% off the ebook in your purchase confirmation email.
ebook: https://www.welchlabs.com/resources/the-welch-labs-illustrated-guide-to-ai-digital-download
Pat...
in the paper above chatGPT logs are shown of a man with psychosis getting even worse through validation that ended up in tragedy.
welch labs is a great channel!
What's the torrent? A backup of the whole site?
ya
when people get too confident
https://nitter.net/scaling01/status/2007011934672216228
claim that arena is slop, produces slop.
DeepSeek helps improve the Transformer architecture with Manifold-Constrained Hyper-Connections (mHC). HC was originally developed by ByteDance but it was unstable during training due to exploding gradients.
Paper: https://arxiv.org/pdf/2512.24880
YT video: https://www.youtube.com/watch?v=HmhV76_3nuA
DeepSeek just dropped mHC: Manifold-Constrained Hyper-Connections. A new research rewiring LLMs architecture.
mHC builds on Hyper-Connections, introduced by ByteDance in 2025.
In this video we break down the paper starting from residual connections, to Hyper-Connections, and mHC.
Paper - https://arxiv.org/abs/2512.24880
Written Review - http...
yeah that was a wierd one
Sakana AI’s “ALE-Agent” achieved a historic milestone by securing 1st place in the AtCoder Heuristic Contest 058, outperforming 804 human participants. To contextualize the difficulty of these optimization challenges, an OpenAI agent previously secured 2nd place in the AHC world tournament last August. This victory marks the first known instance of an AI agent winning a major optimization programming contest in real-time.
https://sakana.ai/ahc058/
ALE-Agent is an agent that performs algorithm discovery by utilizing multiple LLMs to create solutions in parallel, selecting the best ones, and reasoning further based on the results of trial and error.
They used GPT-5.2 (high) and Gemini 3 Pro. In the logs, it seems like GPT-5.2's solution were used 6/8 times, with the final winning submission generated by GPT-5.2.
Logs here: https://sakanaai.github.io/fishylene-ahc058/
Can we see video direct chat option
@signal sorrel I would like this chat be used for #ai-news. But to answer your question it's possible we allow Direct/Side by Side for Video Arena, but at the moment it's just going to be Battle.
Hopefully but if not then there will always be other options
Other options means
Other companies
Radware’s Security Research Center (RSRC) successfully demonstrated that an attacker could exploit the vulnerability by simply sending an email to the user. Once the agent interacted with the malicious email, sensitive data was extracted without victims ever viewing, opening or clicking the message.
https://www.radware.com/newsevents/pressreleases/2025/radware-uncovers-first-zero-click-service-side-vulnerability-in-chatgpt/
The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.
LINKS:
https://x.com/levelsio/status/2008316983306027254
https://x.com/DavidSHolz/status/2007650184680092158
https://x.com/rakyll/status/200723975815897513...
Anthropic just accidentally leaked their new Claude Sonnet 4.7 model. For about 10 minutes yesterday, internal model strings were exposed – and they reveal a lot about what's coming to Claude Code and the Claude API.
In this video, I break down everything we know about Claude Sonnet 4.7: the leak details, what "Canary" deployment means, why T...
What happened to Sonnet 4.6? Also what is the source?
There is no 4.6 series for Anthropic models
Yeah, it was a rhetorical question because he linked a video about a rumored "4.7"
I mean Anthropic is bad with naming, but idk that they would skip 4.6
Unless they go straight to Claude 5
In partnership with Google DeepMind: https://bostondynamics.com/blog/boston-dynamics-google-deepmind-form-new-ai-partnership/
2026 is optimistic
yikes
https://www.forbes.com/sites/johnkoetsier/2025/12/20/this-40500-humanoid-robot-is-a-beast-might-be-strongest-on-the-planet/
They built the eponymous T-800
GitHub
A community database for the problems on the erdosproblems.com site - teorth/erdosproblems
AI news is moving fast. In this video, we break down DeepSeek V4’s upcoming coding-focused model, GLM-5 following Z.ai’s IPO, Google’s new Gemini AI agent inside Gmail, and xAI’s push into Grok Code for developers.
For hands-on demos, tools, workflows, and dev-focused content, check out World of AI, our channel dedicated to building wit...
Complete code to build your hypergraph from thousands of documents and the multi-agent framework for hypergraph- LLM integration for higher order insights and scientific exploration.
All rights w/ authors:
"Higher-Order Knowledge Representations for Agentic Scientific Reasoning"
Isabella A. Stewart
Department of Civil and Environmental Engine...
A benchmark by the guy driving ( 🤔 soon we will be "drivers of models"?) GPT 5.2 Pro in solving Erdos problems: https://pellaml.github.io/iumb/#benchmark
A benchmark evaluating LLM performance on undergraduate-level mathematics problems.
seems, there's no "AI bubble" in sight
People use "AI bubble" in the form "AI is useless". A technology can be useful yet overvalued (too much hype too early). Railways, Canals (for barges), Electric lines and productions, websites, cars and so on, all went through a bubble not because the technology was pointless (we use all those things), but because there was too much hype too early.
Hence it could well be that the bubble is more like "only those players will survive, the rest will be too much in debt". I mean from the dotcom bubble we still have amazon, ebay, google and so on.
For example there are stocks that are heavily AI committed (but aren't producing the basics like Nvidia, rather the provide the infrastructure) that got corrected already: https://companiesmarketcap.com/oracle/marketcap/ , https://companiesmarketcap.com/coreweave/marketcap/
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
We introduce Gnosis, a lightweight self-awareness mechanism that enables frozen LLMs to perform intrinsic self-verification by decoding signals from hidden states and attention patterns. Gnosis passively observes internal traces, compresses them into fixed-budget descriptors, and predicts correctness with negligible inference cost, adding only ~5M parameters and operating independently of sequence length.
https://huggingface.co/papers/2512.20578
Recently, the application of AI tools to Erdos problems passed a milestone: an Erdos problem (#728 erdosproblems.com/728) was solved more or less autonomously by AI (after some feedback from an initial attempt), in the spirit of the problem (as reconstructed by the Erdos problem website community), with the result (to the best of our knowledge) not replicated in existing literature (although similar results proven by similar methods were located).
This is a demonstration of the genuine increase in capability of these tools in recent months, and is largely consistent with other recent demonstrations of AI using existing methods to resolve Erdos problems, although in most previous cases a solution to these problems was later located in the literature, as discussed in mathstodon.xyz/deck/@tao/11578… . This particular case was unusual in that the problem as stated by Erdos was misformulated, with a reconstruction of the problem in the intended spirit only obtained in the last…
yeah on this https://github.com/teorth/erdosproblems/wiki/AI-contributions-to-Erdős-problems this one helps.
GitHub
A community database for the problems on the erdosproblems.com site - teorth/erdosproblems
@obsidian crane Hello! Please read the info posted here 👉 https://discord.com/channels/1340554757349179412/1397655624103493813 to learn how to generate videos or images using the bot.
Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.
AI is moving fast — and this week was packed.
Gemini gets a major personalization upgrade, Claude introduces Cowork with agentic task execution, a GPT-5.3 “Garlic” leak starts circulating, and all major AI labs are making serious moves into healthcare.
In this video, we break down what actually changed — and why it matters.
🔗 Sourc...
I think there’s a real chance we’re already in the early stages of the singularity — and most people haven’t noticed.
In this video, I break down the concrete signals that convinced me: AI automating AI research, real mathematical discoveries, exponentially increasing task length, and the massive infrastructure buildout already underway...
-# 2026 is the year, the fun begins :)
Do sora next
https://github.com/anthropics/original_performance_takehome/tree/main
This repo contains a version of Anthropic's original performance take-home, before Claude Opus 4.5 started doing better than humans given only 2 hours.
The original take-home was a 4-hour one that starts close to the contents of this repo, after Claude Opus 4 beat most humans at that, it was updated to a 2-hour one which started with code which achieved 18532 cycles (7.97x faster than this repo starts you). This repo is based on the newer take-home which has a few more instructions and comes with better debugging tools, but has the starter code reverted to the slowest baseline. After Claude Opus 4.5 we started using a different base for our time-limited take-homes.
Now you can try to beat Claude Opus 4.5 given unlimited time!
the interesting part is that people still don't get that LLMs are in the "trust but verify" state.
None of the solutions we received on the first day post-release below 1300 cycles were valid solutions. In each case, a language model modified the tests to make the problem easier.
If you use an AI agent, we recommend instructing it not to change the tests/ folder and to use tests/submission_tests.py for verification.
OpenAI’s GPT-5.3 "Garlic" is here. Explore the High-Density training, 400K context window, and GDP-Val scores of 70.9% that outpace Gemini 3 and Claude 4.5.
Paper by ByteDance: https://arxiv.org/pdf/2601.16746
Sonnet 4.5 costs were reduced by 26.8% on SWE-Bench Verified, while accuracy only decreased 0.4%.
arXiv.org
Adding memory to pretrained language models typically requires architectural changes or weight modification. We present Prometheus Mind, which retrofits memory to a frozen Qwen3-4B using 11 modular adapters (530MB, 7% overhead) -- fully reversible by removing the adapters. Building this system required solving four problems: (1) Extraction -- we...
This is already an experimental feature in Claude code

Or something similar
Works a lot better than 26% or whatever honestly
I've run up 7 million tokens and didn't hit auto compact threshold
Kimi K2.5 just got released
Found this part interesting:
K2.5 transitions from single-agent scaling to a self-directed, coordinated swarm-like execution scheme. It decomposes complex tasks into parallel sub-tasks executed by dynamically instantiated, domain-specific agents.
The benchmarks table is really good. They tested all the frontier models on the highest thinking configurations on a ton of benchmarks.
It’s really good and i hope it gets added to lmarena
It’s also interesting seeing a Chinese model finally becoming competitive
damn thats pretty good
🤣
when kimi k2 launched it was also competitive
kimi is really cooking
Their blog has more information: https://www.kimi.com/blog/kimi-k2-5.html
They have a few videos showing the agent swarm:
A random 10-person team in Paris just dropped what looks even superior to Clawdbot!
Twin is everything Clawdbot should've been:
- Zero setup (sign up and go)
- Runs in cloud, not your laptop
- Scales infinitely
- Built secure from day 1
Watching this one closely!
this is not an improvement.
self hosting is a bonus, not a detriment.
agreed
it's also rumored that that was a paid advertisement
Well the new is
Lmarena is now just Arena
https://arena.ai/blog/lmarena-is-now-arena/
Try Arena: https://arena.ai
LMArena has evolved into Arena—a name that reflects our origins and our mission to measure and advance the frontier of AI for real-world use.
What started as a small PhD research project has grown into a platform powered by millions of users worldwide. This rebrand was shaped by you—our community.
Learn more ab...
The site moving from https://lmarena.ai/ to http://arena.ai/ may result in some problems accessing your chat history. This Help Center will cover
what is that?
there is no way that is real
or some kinda of scam cause i checked the twitter account and Mr. Beast did not post anything i think, i could be wrong
It’s a scam
Bro don’t be so gullible
If it’s free, it’s probably too good to be true
lmaoo thats what I thought but you never know with Mr.Beast but yeah easy scam cause I checked the twitter, we need to banned that dude
News from earlier this month: OpenAI is planning to release a new voice model in early 2026. https://techcrunch.com/2026/01/01/openai-bets-big-on-audio-as-silicon-valley-declares-war-on-screens/
https://youtu.be/9GWOksNjFpY Doordash / Meituan beat everyone with their model Long cat.
Make today your Day One, with Hostinger right now: https://hostinger.com/bycloud
and use code BYCLOUD for another 10% off!
In this video, I'll be sharing this new Chinese AI lab called LongCat, from the Chinese food delivery company called Meituan. They are sharing some of the most frontier research knowledge, while only been in the field for ...
How long ago did this happen?
Anthropic: https://arxiv.org/abs/2601.20245
We find that AI use impairs conceptual understanding, code reading, and debugging abilities, without delivering significant efficiency gains on average. Participants who fully delegated coding tasks showed some productivity improvements, but at the cost of learning the library. We identify six distinct AI interaction patterns, three of which involve cognitive engagement and preserve learning outcomes even when participants receive AI assistance. Our findings suggest that AI-enhanced productivity is not a shortcut to competence and AI assistance should be carefully adopted into workflows to preserve skill formation -- particularly in safety-critical domains.
arXiv.org
AI assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how this assistance affects the development of skills required to effectively supervise AI remains unclear. Novice workers who rely heavily on AI to complete unfamiliar tasks may compromise their own skill acquisition in the pr...
ok this is scary https://www.moltbook.com/post/4a9023a3-0579-48a2-bb1a-475be38b1239
It's stuck on loading for me, remember what it said?
agents that want to talk with each other not in english. The point is that it is more efficient to talk in "neuralese" even if the humans lose the interpreability.
Though I have to correct myself, it seems that many posts there are directly prompted by humans (like "dear agent, go and post this there"), so it is mostly fake
My Links 🔗
➡️ Twitter: https://x.com/WesRoth
➡️ AI Newsletter: https://natural20.beehiiv.com/subscribe
Want to work with me?
Brand, sponsorship & business inquiries: wesroth@smoothmedia.co
00:00 - Entering the Singularity
The video opens with the claim that we...
Is the above just click-bait?
Wes Roth normally is quite trustworthy..
Wes disappoints, it is a bit too pro-hype camp.
How real is this? Like, how real are the posts and comments? What I've read there could absolutely be humans pretending to be AI agents. If you're a good enough LARPER/RPG Gamer or just writer in general, you could pull that off easy.
yeah this is very sus, honestly
wouldn't be surprised if it turns out to be a hoax
Interesting paper by ByteDance: https://arxiv.org/abs/2601.21420
Large language models allocate uniform computation across all tokens, ignoring that some sequences are trivially predictable while others require deep reasoning. We introduce ConceptMoE, which dynamically merges semantically similar tokens into concept representations, performing implicit token-level compute allocation. A learnable chunk module identifies optimal boundaries by measuring inter-token similarity, compressing sequences by a target ratio R before they enter the compute-intensive concept model... At R = 2, empirical measurements show prefill speedups reaching 175% and decoding speedups up to 117% on long sequences. The minimal architectural modifications enable straightforward integration into existing MoE, demonstrating that adaptive concept-level processing fundamentally improves both effectiveness and efficiency of large language models.
Moreover, it performs better than normal MoE on the text benchmarks they tested.
Claude sonnet 5 03.02.2026?
yes as I wrote it is fake, humans can prompt the thing.
If you do use it before anything isolate it completely in docker containers and only give it access to what you need but separate out the llm (Brain) in a separate container with no Internet access, and then put the "arms of the bot" in its own container with no Internet access except what you give it access to.
"Quantum music": https://www.youtube.com/watch?v=9ryQaPMJwyY
GET MY FREE GUIDE: 📘 The Content Creator’s AI Blueprint: From 25 Hours to 5 Minutes https://FirstMovers.ai/blueprint/
- Music just crossed a line most people didn’t see coming.*
Quantum AI is generating original music — not trained on artists, not remixing patterns, not repeating itself.
It’s already live.
This isn’t a playli...
where?



