#programming
1 messages · Page 471 of 1
sure, i guess im both

fruit flies like a banana
Yes, a banana is both a fruit and, specifically, a botanical berry
a berry is a fruit no?
nop
ever seen
a fruit that looks like a banana
excluding bananas (which arent fruit)?
uhhh
starfish
thats what i thought
get destroyed
also plantain
planes are not fruit
all berries are fruit, but not all fruit are berries
strawberries arent berries, but they're fruit
yellow fingerlimes
banana passionfruit
wrr
wrrr
wrrrrrr
@real sierra congratulations on your marriage 

(/s on the kiwi)
i am not married
@real sierra spill the tea
why is there a kiwi inside of banana 
divorced so fast
you said so already 
you said the same thing

well yes im going to expand on it but i need to reiterate the context for the rest of the paragraph to make sense
he can never remember when his birthday is

so we have to remind him constantly
it’s exhausting but we must do the duty to remind our beloved shiro

shiro got married?
NO
when was the wedding
lmao

awawawawa
ye
shiro do you remember your vowels (not vows)
shiro my server offer is still available
its just an overloaded single-board computer but it should at least somewhat suffice

pics or it didn’t happen ❌
pics then it did happen ✅
a e i o u with y in a quantum superposition

not false ❌
true ✅

you're gonna laugh at my lack of linux knowledge
why cannnnnntttt you seeeeeee my viewwwwww
and probably backseat me 
but ill consider it once i have time to develop and test fumoquest again
if you need help you knwo where the programming channel is

mister admin
shiro what does sudo rm -rf / --no-preserve-root do
where
I forgor
bakers can yall help me find it
dont call me admin for the love of god
it has the worst image associated with it

happy admirthday
shiradmino
i did not spend all these years taking good care of my image as shiro just for an admin label to be stamped on my thick skull
step-admin?
:3

no
no
that's the worst thing i've read in the last 6 months
community peace keeper
you're welcome

did you know that shiro is actually an anagram of admin
also if you spell shiro backwards its written as admin
s h i r o
s h o i r
a h o i n
a d m i n
checks out
shoir is pronounced like choir btw
shiro
remove the s
remove the h
add the a
remove the r
add the d
remove the o
add the m
add the n
did you know
ok idk if id go that far to the other end of the reputation spectrum either
if you convert shiro to leetspeek
i definitely cause my share of problems
it turns into shiro birthday
you've pinged vedal like 11 times
5h170
those arent even the ones i mean
mods ban shiro
still
that does not help
o
im talking about back in february 2023 when i got sad over a dispute with someone and left the server and like half of genchat followed me out 
sam dent
the problem with englsih is that its pronounced however it is, and i dont know
is choir pronounced chwire
what

wait then how long has the shiro been in here for
@tender river why did you untoast yourself
jan 1 2023

not like chore
ancient 
like kwire
kwire yeah
no wonder you have so many birthdays
felt like it
is choir pronounced like the ch in chair, or the ch in charisma

charisma
character
kwayear
kwyre
just like queue
also the word is french so
sometimes my brain pronounces queue as kwayway
I could pronounce that as "k-why-reh"
I say cue-eee
I say q
queue pronunciation is so convenient
when i have a
queue variable
queue = que = q
i name it q
the ch in choir is pronounced like the ch in chappy chirthday chiro
i say kew or Q.U.E.U.E or kewww

ueue
🕊️ coo
coo, coo
Redston is here 
there was a reason i didn’t post that here 
happy birthday redston
holy shit is that redstone from minecraft???
not like q
thats why we speak programming languages
the person that made gif pronounces it like jif.
so luckily they're also going to hell
correct they are
jeople jho jronounce jif jas jif jeing jent jirectly jo jell jafter jeeting Jod jat jhe jearly jates jand jalling jim Jod
what
its inevitable 
its the same with people who pronounce vedal like medal instead of veedull (not as science intended)
did you wear a dress or a suit or
i would pronounce kew as きゅう and q as roughly k-you
@sage crag
suit
im active in cordcord
so you did get married
wh
are you pinging

no i was just a guest 
people wanted to dance with me 
naturally you get invited to your own wedding
would it really be invited?
i
I would say your presence would jsut be assumed
if you werent invited you couldnt go
my mom was late to my birth
understrandable, its shiro afterall
and she went on stage with the mic and told everyone it was my birthday 
...what?

entire event's attendees sang happy birthday to me
yeah she missed the whole thing
🥀
birthday curse follows shiro in real life

we gather here today to celebrate the... birthday of my sibling, 1 verse please
it was like when the waiters sing you happy birthday at a restaurant but worse
it's your birthday? why didn't you tell us?
we could've sung for you as well
27th march
so did you get bron in the car on the way there or what?
standing there in the middle of a crowd of like 100+ people
it’s jonna follow shiro to heaven and jod will sing for him too
na i just had to be born without her
ohhh
it wasnt a problem thankfully
you're synthethic
ah, you were summoned from the aether
testbuiskindje
the doctors built a herobrine totem and spawned me in

damn, where did they get the 8 cubic metres of gold to do that?

at the end of a rainbow
wait a minute
imagine if the y2k problem was a feature of numbers and not of the storage of numbers and people born after the event had a birth certificate with a negative birthday
we have the opportunity of a lifetime

shiro you have to go to the neuro live
@real sierra how would you like to break a world record


easily break that record


ohisee
the first second of that clip gives off a very different vibe from the rest of it
lmao
same

nah he's just clenching his cheeks really hard to focus his power to fly
its his keybind
soma ahh story
its a copy, unless you 
of all people to ask you choose the twitter man? shivers
what if you pulled a "ship of theseus"?
still a copy
hmmm
your brain is a storage medium and it encodes info in a funky way
if you create a new storage medium and replicate the data, it's a copy
we also dont completely understand our brains
hmmm
I mean, we duplicated the brain of a fruit fly and put it in a simulation, surely it's not much harder to do a human one
what if you put the brain in the server and replace everything besides the brain?
not a copy technically
but barely human
"you" is not well-defined to begin with
it's not a copy of your mind if you do that
if its only the signals that make us up then u would need to magically freeze ur signals and move them into a mechanical brain and resume them
brains are inefficient anyway
they have a lot of bloated features related to keeping the vessel working
Before technology could even do that, I'm gonna die of old age
i think that's probably the most realistic definition since almost every other body part is replaced on an individual basis already
we’re back to the ai sentience convo @sick owl
the second season of steins gate is about this
from an outside perspective a non-biological storage medium would still be a copy
based reference
TRUE
ik i have amadeus on my phone
i was just listening to a steins;gate song
steins;gate 0, the GOAT
stop ratting my computer
fun fact

amadeus is what got me into LLM development
it being biological doesn't change anything
like if you rewrite a new brain with yours' data
i was using machine learning for anticheats and other purposes
but that show made me take it to text when the show came out
i need to hire quack to make me an ARC. i can do the actual graphics for a 2D anime girl myself
here’s a link to remove any spyware from your computer
just click upvote and dont ask questions
if they could remove the part that makes me need to sleep that would be great. I want 8 more hours of slaving away at a desk job please
I have hope in elon musk
i got into LLM research around 2018-2019 if i recall
what's your fav c++ library to use for ML?
My opinion of AI sentience is that we'll never know for sure if/when we reach it
the problem is we still dont have the digital version thats 100.0000% the same as a biological brain
the brain is an organ like every other. imo the conciousness is only a temporary state of neurons firing and the paths they take, the brain being a tool for modifications of those paths, same as the rest of the body
originally didnt use one because my previous uses never needed it (LVQ networks etc)
i think I used tensorflow later
but i remember hating it
I take back this statement, apparently the definition of sentience is the ability to perceive and feel things
We can prove both of those in humans, and current LLMs definitively have 50% of that
am I real if I can feel

AI sentience wont happen with current tech
I think therefor I am
oh yeah? give me a few months
Where did Consciousness come from?
Nah, we’ll know because it’ll have to be specifically made sentient. An llm will never achieve it but an ai designed from the ground up to be sentient isn’t impossible, although probably won’t happen in our lifetime
sure thing big dog
Even google don't know
from what i personally believe, it is def possible to make a digital brain if you just go deep enough into how the human brain works and replicate each system. but its probably not feasible
See I would have said that but the topic gets very complicated
Its not unthinkable that we manage it by accident
At some point
It’s because it’s trained on human datasets
we have to understand how the human brain works first 
its told to act sad so it does
We already accidentally created models with an incredibly complicated understanding of emotions and functional, albeit probably not phenomenological, emotion circuits
thats why they talk about taking over the world alot when they are told they are AI
my opinion of ai sentience is that people want to believe one or the other and will shift the goalposts to agree with that viewpoint because sentience is not well defined and has no value in an academic setting
alot of the data about AI they are trained on happens to be about them being evil lmao
wasn't there an article somewhere where thry replicated a fly brain, put that into an virtual reality and it started trying to clean istself...
yeah
i think the only feasable way to make digital brain is to cut some corners and not simualte each individual neuron in excruciating detail
yeah, LLMs are not the way
text generators cannot be made to actually think/feel under the hood
@shell jasper You may have a horse in this particular race
people forget that LLMs are closer to a auto complete than to a human brain
infact beyond terms 99% of what makes them up is unrelated
Llms are just predictive text
the term artificial intelligence is probably misleading in itself
that's what I'm saying
it's so sad to see so many people get fooled by that tech
a term i dont hear anymore
current AI is far more A than I
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Correct
it's not, just heavily misinterpreted
it's artificial because it mimicks real intelligence, without being it
now instead of ai we just have me
We have a full digital scan of a fly brain that we can use for simulation
llm is def not the way to ai sentience.
but just like how animals learn to be afraid from snakes by watching their parents be, i think that learning from behavior could be successful
And by jolting that brain we have been able to recreate fly behaviour in a sim
LLMs were more innovative for data science than neural science
ye
Prediction of the kind they do is incredibly complicated though, I think people undersell what that actually entails a lot of the time
and yet ironically they produce a lot of inaccurate data
observational conditioning
I don't think current models are sentient but I don't think the fact they're predictors is as deflationary as many frame it
They have functional circuits that mimic emotion for the express purpose of predicting emotional response in text
Is it not incredible that we already came that far on accident
oh ik it’s complicated, i just also know it’s nowhere near sentient. It’s just a really complicated math equation
nah current ai is more agi then i, haven't you read the news
its based solely on the data given from text though
text can be associated with emotion
keep in mind too LLMs are single shot and have no concept of time or neural plasticity
Given that this is the case I think its arrogant of us to handwave it away as "not intelligence" or to assume that at some point down the line we could end up with something sentient without specifically aiming for that goal
for sure just not with this tech
sentience requires self-awareness, so instead of the only input being text, i believe that feedback from the physical world could be a step in the right direction.
instead of LLMs they would be learning from scratch with normal neural networks.
thats what i believe at least
its not really arrogance as much as is it just understanding how it operates
On the former point, you can have intelligence without sentience and the complexity of prediction carried out by current leading models I'd argue is truly intelligent
The mistake people make is going with an anthrophomorphic definition of intelligence
again its closer to a plinko machine than a brain
does anyone?
for me, llms are more a muscle that a brain or a soul, and therefore unable to achieve sentience, or intelligence.
its plinko with set parameters on the points
If we go by the definition LLMs absolutely are artificial intelligence
In context learning is a thing after all
Aren't we a bunch of parameters too
really i think the gap is on the biology side
idk how yall think, but isn't it ussualy that you kinda talk to yourself in your mind going through the stuff you're doing?
it could very well be that our brains work very similarly to current AI approaches and we just dont know it
i 100% disagree
we have decay rates for our signals
LLMs dont have a temporal variable
we are more "Event driven"
They learn in context it's just ephemeral
not the least of which is the continuous nature of human thought
while an LLM is closer to just pouring out a glass of water through a filter
idk who you're arguing with i agree
not really its pretty much just reprompting with context
their weights dont change
the context just adds... well more context
So llm is like fixed weights
correct
Read the message I placed below the image
In context learning is a thing, its not permanent but it fits the definition
yeah i still wouldnt call it intelligence though
The way they affect the remaining output within that session does change though, since the weights are only part of the equation
machine learning != AI
percieved randomness and change may be an incomplete understanding of the algorithms
doesn't have to be physical world and you can pretrain it to a degree
but yeah, text shouldn't be the input, human languages are too abstract and imprecise and if that's the only thing you give it it will still learn to be a text generator
i mean the randomness is half caused by floating point issues

Other half on purpose lol
yeah u often get random seeds
easiest way to check is just run the exact same prompt twice (with reset contexts)
if inputs are different then there's a temperature parameter to randomise it
for all we know, we could be ai living in a simulated world. Only because the possibility seems unfathomable, it is not impossible.
By definition it is intelligence
having it be fully stuck to the same weights is also a problem for true consciousness. so at the very least variable weights are needed
You can argue it doesn't fit your subjective view of intelligence, but objectively the term "artificial intelligence" isn't incorrect as some frame it
its being trained technically through an external tool
a tool that isnt shipped during inference
that is just incorrect by definition, all machine learning is AI, but not all what is under term AI is machine learning
AI has become a clusterfuck of a term that means something different to everyone
Again, in context learning is a thing
See the above
simply feed back the outputs as inputs and have the model self-train
Francois Chollet also wrote a piece on this
eh
yeah but its not "learning"
the models remain fixed
its all context
no matter what u say to an LLM there are things that wont change
im not too knowledgeable on this, but i feel like learning from its own outputs wouldnt be ideal
when ur having a conversation with a model its just taking the chat history and feeding it back through again
Not entirely accurate
At present, the mechanisms of in-context learning in Transformers are not well understood and remain mostly an intuition. In this paper, we suggest that training Transformers on auto-regressive objectives is closely related to gradient-based meta-learning formulations. We start by providing a simple weight construction that shows the equivalence...
Just because its dependent on the existence of that context doesn't mean its not learning
seems like a dated paper but ill give it a read
You say dated I say foundational
you need to add a special ingredient to make it work
but reading its own outputs will give it continuity between inferences and an increased "sense of self" since it will eventually learn how its outputs interact with the rest of inputs
if i do ai stuff in the future ill get back on this
like sofmax attention implementing GD requires multi-head correction
there is 0 information backing it up on actual production / deployed models either
there are a few other explanations for their results though
You know what, that's valid
It is a toy setup in that paper
seen some papers saying it could also be implicit Bayesian inference
well it not just the content even the structure can change by some "neuron" being dead this is what Gemma make use of
ICL involves more than just gradient-based learning too
Still working on my chess engine . Just trying to find a better MC I also try alpha-beta bruning I add tons of feature since I don't know which settings I let copilot write genetic algorithm let it now run for 100 generations
Okay, leaving behind the gradient descent idea since that does appear dated
Would you not qualify induction heads as a learning mechanism?
not at all honestly its a single-pass retrieval so nothing is refined
they dont generalize beyond whats literally present in the context either
The definition of learning is "the acquisition of knowledge or skills through study, experience, or being taught"
its n-gram copying though
Knowledge can be acquired through experience without being permanent
which is predicting
Does it not still fit the definition though?
If you give a model updated data beyond its learning cutoff it can update assumptions based on what you taught it for as long as that context cache exists
Its temporary, but it is acquiring new knowledge in a functional sense
So the discussion is about how a transformer lerns ?
how would it even make sense for the model to be able to generalize to what is not in the context? What do you mean by that?
I watched a video about how a team analyzed how transformer hallucinate. It turns out the same "neurons" which pick stuff up which is rarely repeated doing the output for it . When you turn them off = the stuff which is in a low amount in the trainign data the LLm can't answer them anymore.
if you solely has induction heads they would not be able to do anything nearly as good as a full model
you're making it sounds like there are "correct nodes" and "incorrect nodes"
which is plain wrong
they arent designed for reasoning as thats not the point of the tech
Well naturally, you could make the same argument about any given slice of a brain
the fuzzy matching they do helps but they struggle MASSIVELY for anything beyond non-local patterns
they cant learn from such things
they are relient on token level patterns too
things that need semantic understanding they are very bad at
Not really it more like LLM needs to dig into nodes which contains rare information which contains a lot of nosie . It seems the information is more sorted by intensity then by catrogory which make sense
not to mention all the repetition issues they can cause sometimes
what do you think is the point of the tech then?
Also, it was my understanding that subsequent interpretability work has shown induction heads do generalise to out of distribution patterns in a true sense, such as made up words for instance
If it was just n-gram copying it wouldn't be able to learn abstract patterns and unique made up tokens surely
And this is just one component of the much grander mechanism responsible for ICL
generating text
xdd
it is straight up a text completion algorithm
which based on training data picks the next most probable word
well for one thing transformer architecture isn't bound to text, it can represent any abstract modality
if you think of it this way then it allows to not think of the kinda reductionist framework of it being "just text completion algorithm"
the thing with artificial brain. if humans do figure out how to do it,t hen they will also be able to make smarter than human brains
so then id be jobless
if the tokens take form of text
then yeah it is a text completion algorithm
which is the case with LLMs
yeah i think thats from the fuzzy / semantic induction heads that match with similarity
Yeah and the gradient descend works also really straight forwards the problem is for researcher this is not enough they want to know how the structures internal works . Basically how the words get link to each other which honestly I also don't understand what there isn't to understand
that's kinda like saying every piece of software is just logic completion algorithm, and while true, there is a ton of stuff you are just missing in this kind of explanation
yeah software is just a sequence of instructions
i guess in the end it depends on what u call "learning"
yeah, but there is more to the topic of software than just "sequence of instructions"
learning implies it's permanent
a nearest neighbor classifier generalizes to inputs via a fixed matching rule and people will call that learning
yeah by that definition then no
if it's an added instruction added to the context that will get forgotten when you run out of space in the context
then it's not learning, it's just a bigger input
u can see very easily where it starts to break down as the context gets longer and complicated
idk about that definition, I'm certain I learned quite a bit of stuff that I no longer remember
not to mention grokking
you're just being ignorant at this point
explain how
a big issue too honestly is that these heads are very local with their recognition
you will have a tough time trying to "train" a model during inference
This is like wanting to get a prove liek this :"lan Turing proved in 1936 that no general algorithm exists to determine whether an arbitrary computer program will halt or run forever. This result, known as the Halting Problem, establishes that the problem is undecidable for Turing-complete systems. " The problem is each NN can be totally different because of this developing a neural network is more like cooking or growing a plant then programming itself . The same way you can't make a function for all function . You can't generlize even transfoerms
No it doesn't
The definition of learning doesn't make any such qualification
I think it would be more accurate for you to argue its not parameter learning rather than it not being learning outright
i think its just closer to recognition than anything
and then at that point the argument is pointless, cause of course stuff learned in context with current models is not permanent if just left as is
the whole purpose of these models is pattern recognition
Precisely
Well actually
I wouldn't say its pointless
my bad, didn't know english isn't your first language
or second language it appears
We're just arguing about different things
How needlessly rude
You're wrong, by the by
LLMs don't acquire new knowledge
they are given it as input
Moment didn't deepseek add recently permanent memory to transformers ?
yeah i dont think that definition works in ur favor tbh
they cant really develop any of that beyond simple local recognitions and small short terms adaptions
he's just trying to stretch definitions to match his narrative
Just because the basic model weights aren't altered doesn't mean its not acquiring that knowledge in a functional sense
I mean yeah conversation isn't actually pointless, just more or less saying that the argument solves itself
You're being needlessly narrow with your definitions here to suit your own point moon
Not to mention oddly standoffish
the context in general to me feels like a patchwork solution to a problem rather than actual learning
Dose definition are like trying quantum locality pudding on the wall if you know what I mean
because remember the context is just feeding back its own chat history
its nothing "special" about the tech and model itself
Its not learning in the human sense true, but I'd argue it is a sort of learning even if it only occurs in brief flashes
i think adapting is a better compromise
Limited and brief, but still within the bounds of what you'd conventionally consider learning
it can shift to fit the context at times but it will struggle to take that information far
like if u tried to teach a model a whole language by feeding it data during inference u would run into a ton of issues
I'd define that as limited learning, but we are basically arguing semantics by that point since we mean a similar thing
thats half of the AI debate tbh
And you're right about this, I was just arguing that it qualifies as learning, not that it qualifies as complete robust learning in the sense of humans
Fair I personal when I try to make non technical people to understand how NN learnsI say it is like a sandform the NN tried to fit
you can save conversation data with semantic chunking and retrieve it by matching tokens
which is still just extending the prompt, but somewhat solves the issue of completely forgetting everything
no one uses that because any sort of permanency is undesirable for corporations that want to sell the technology as a service, having to adjust model weights or store more data is extra costs
i used to build models from scratch during the researching eras
ive moved on since with how terrible the field has become though i still research in branching fields at times
(just not transformer models kek)
thats because its a text generator
to make it a "chat bot" you need context/history
so they slapped it on
and called it a day
I think what I remember were the engram stuff which is kinda on top https://www.youtube.com/watch?v=xUlX6jvwVfM&t=251s
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limited time code "EARLY"...
Don’t even get me started
On Deepseek engrams
I have time ^^
I fucking love Deepseek engrams
I have plans
Deep, complex plans
I’m gonna use them harder than Deepseek did
which is completely fine
but the issue is how they set the expectations
it outputs in a human language form and it does take your context into consideration so it's not full random
but beause of that a lot of people are suddenly thinking it's capable of real understanding or thoughts
while it was trained with massive amounts of dirty data
and that marketing made investors buy into it
which made the companies go heavier on it
so we're now stuck in a weird timeline where people are investing crazy money into such inefficient and inconsistent tech
I also need my short time memory to make sentences so it is fine
Don’t pay them too much mind, SNN is at least 5 years from passing the Turing test
Are just mad that their slightly different field wasn’t the one that suddenly become worth 400b
Ughhh shur up shakes but
No way you AND quack invented agi while nvidia google facebook and Deepseek couldn’t
This is just mythos marketing but for SNN
corporations have different goals
No offense to you
I'm failing to keep Track of what this argument is actually about
same
it's mostly about nothing
SNNbros thinks ANNslop is slop while saying their SNNslop is better but not even having any SNNslop to show the ANNbros
“Oh yeah my laser point is wayyyy brighter than that.. what, no I can’t show you, it’s way too bright for the likes of you”
SNNs are cool but currently very hard to scale and ANNs are currently the best available tech that can be scaled
what are SNNs? synthetic I'm guessing?
spiking neural network
Spiking
Spiking neural nets
Ever so slightly closer to real brain stuff
I'll save myself the 🥉
But still basically not even close
it is better at least
Idk how to easily explain them
And all of their groundbreaking results that would shatter society as we know it are always suspiciously secret and never demonstrated
Basically a pyramid scheme but for gatekeeping instead of money
I have some sentient AIs in your local network already
they are everywhere
They are cool but are very inefficient on modern hardware
not as inefficient as LLMs tbh
Ok Mr pseudoscience
lol
Try and run a 14B SNN on a £800 gpu
Yea they are more efficient but the hardware to use them doesn't really exist
But I can run a 14B LLM on my £800 GPU since the hardware does exist
He's joking, its not especially funny but that's not a serious statement
Yea I get that
you thinking it's something that needs explaining says a lot lol
SNNs use 100% less power since they aren’t real 
if it can't be efficiently implemented on gpus it's basically doa
bet, double that number even

Ah I done that too
That response could go either way, this is the internet after all
so far 
You have fun running a 28B SNN on a GPU that can't run a 1B SNN
And again with the personal jabs, you've got a real attitude problem
Unless you simplify the spikes into some sort of integer and simplify the math used... That kinda sounds like ANNs
Yeah
SNNbros hate this one simple hack
“Okay but can you actually run it on a computer”
Then you could use matrix multiplication to optimise that math even further
Well now I stopped the argument with the logic of a teenager I'm here to talk about why I hate CPP
Wait
I forgot why I don't like CPP
Uhhh... CPP is old and smelly
Chinese People Party
https://www.youtube.com/watch?v=7fGB-hjc2Gc dw i gotcha 
A little video about C++.
0:00 Introduction
1:39 Casting in C++.
2:47 Keywords
5:31 Types
7:02 Different Ways to Do the Same Thing
7:20 const
8:20 Formatting and Style
9:40 Naming Conventions
14:16 Header Files
20:28 Namespaces
24:50 Compile Times
26:51 Modern C++.
31:53 C/C++.
33:08 C++ Edge Cases
34:53 Compilers and Build Systems
40:35 Instal...
Thank you
Anyways I've gotta rewrite lots of CPP code and I hate it
oh that says a lot
def not gonna take your takes seriously
I actually watched the whole thing a couple weeks ago, and god dammit they are 100%
i agree that c++ is bad, but i dnt think it deserves to be called the worst of all time
it's the best
it is def not the best, as a c++ user its kinda ass sometimes
Have fun with your imaginary 28B SNN you saw on an ai generated YouTube short
I'm gonna be working on my realistic 14B dense transformer
c++26 is going to fix all the issues don't worry 
the experience scales with the skill
at the point where you're not throwing logs at your own legs you can really appreciate all the features it has and the freedom it gives you
Yeah move this to #debating-and-calling-each-other-names
you would know a lot about being dense
last one I swear
no
to be fair my old middle school gc had people spamming [filtered]
being able to use the language does not make the language good
To be fair that one is not bad
in here there’s at least a shiro to protect me
Sometimes
more like
the disadvantages of c++ come from it being hard to use right
but once you reach the skill threshold it's amazing
compiler also does a lot so you can easily write nice readable code without performance loss
what are you, a rust fanboy?
Rust is the best language according to developers :3
according to rust developers*
nvm you were right
i despise rust, but mainly due to the people
oh so you're not one of those
then what's your problem with c++? genuinely
i use c++ as my main language. and im fine with admitting it has its flaws
i dont see why you cant
I don't run into issues when using it idk
only really others' code but nothing to do about it at work, not realistic to rewrite millions of lines of code myself
Well according to developers who have worked with rust (you can't like something you haven't used)
And developers who have worked with multiple languages usually prefer rust over languages like C and CPP
just because you dont run into issues doesnt mean the language in itself doesnt have issues
I like rust
It’s what allowed me to calculate the minanumber for Cerber
Even tho I still took almost a week straight
well if my workflows aren't affected by said issues
then I guess I am him or something
And 100 gb of ram
defeated by a style guide 
ye
now that i think about it it's been well over a year since i've written any rust 
maybe it's time to gaslight myself into thinking i should change it again
cutile-rs 
how c++ handles having multiple files is absolutely atrocious and you cant convince me otherwise

realise something is bad and stop using it -> time passes -> forget -> repeat
yeah kinda
the disadvantage of its freedom
it's way easier to fuck yourself up
but you can basically always do something the best way
if you know how
i'll still pick rust over cpp for things that need to only run on a cpu if i have the choice 
the fact that its easy to shoot yourself in the foot, jsut shows the language is far from being the best one
ok I remember a c++ issue
Why are we having this debate when we all know HTML is the best programming language
v-tables
idk i'm bored
what?
What about CSS?
It sucks and is bad
is it?
you should rarely ever cast
and when you do need it it works
Oh :(
are you just too lazy to type static_cast or what's the problem
I'm gonna go rewrite my llama CPP fork in HTML give me a second
.md 
I will take that any day over the program not doing what I told it to
like c# not having an always clear answer if you will pass something by value or reference
Can we all agree C# is bad?
Really only need static_cast in the case of narrow-casting primitives. In which case it's still bad because narrow-casting should be checked and there's no good built-in solution for that.
it's not bad-bad like python
but I kinda hate using it
using c# always makes me miss c++
Python is good for many uses
- Python sucks but is used for many things
I'm a python hater I'm not even going to bother
python itself is great but I hate dependencies because anything useful you want to do with it is dependent on them
Yes
Wait
The more I read that sentence the less sence it made
does that help
the one good thing about python is that it's easy to include libraries and there are a lot of them that make things quick to do
but everything else about it I hate
it's like instant soup
it tastes like shit but it's quick and edible enough
praising python for its ecosystem 
but so many of the libraries are dependent on each other having certain versions 
literally the worst part
I think I understand what you mean and I think I agree
I know
its biggest upside is still a flaw
but it is undeniably convenient to write a quick script
the problem is probably on my side, but what the hell are all these random casts even for?
to make my vulkan shaders i have to do reinterpret_cast<const uint32_t*>(code.data()); what even is all that?? why do we need to do that?
The python language is good but the ecosystem and such are not good
sounds like a shitty api
Also I've been trying to get a screenshot where toast, toast, and toast are typing at the same time and its very difficult
sorry I will type more
That's the main reason I am still here

I think a few people screenshotted that before
I use this for the joke it has 5 toasts but not concurrently 
wrong embed wrong embed

That took like 30 minutes of waiting
fishing for toasts
idk, the linter wont tell me where its from, might be from volk. but i dont think i changed that code when switching to volk
the triangle is in plain vulkan 
i meant the plain c api
actually, i should check if volk still makes it faster or if it makes it slower now
i dont get what you mean
vulkan is a c library, vulkan-hpp is a thin c++ wrapper around it to make life easier 
ok so what the fuck is code.data() and why does it not already output the correct format
konii
4
4
3
toast
1369714045103640679
niuh
true
pointer to 4 byte array if i had to guess
VkShaderModule FrameManager::createShaderModule(VkDevice &device, const std::vector<char>& code)
{
VkShaderModuleCreateInfo createInfo{};
createInfo.sType = VK_STRUCTURE_TYPE_SHADER_MODULE_CREATE_INFO;
createInfo.codeSize = code.size();
createInfo.pCode = reinterpret_cast<const uint32_t*>(code.data());
VkShaderModule shaderModule;
vkCreateShaderModule(device, &createInfo, nullptr, &shaderModule);
return shaderModule;
}
so already compiled 
ye
VK_STRUCTURE_TYPE_SHADER_MODULE_CREATE_INFO 💔
when the coding practices are too good
my world is shattered

next you’re gonna say the earth is round
reinterpret_cast is for taking a pointer and treating the address as a pointer to a different type. It's generally only well-defined to cast a pointer to a trivially-copyable type to a byte pointer or the other way around as long as the pointer is correctly aligned. Casting to reinterpret_cast<const uint32_t*> is weird. uint32_t array is probably just the most convenient way for them to process SPIR-V.
Its a Velociraptor and nobody can change my mind
you should be able to static cast pointer to pointer no?
i can try, but its been a while since i dusted off the old triangle
🔺
cathy, the triangle does not make me trans.
each instruction is 32 bits apparently so i guess that's why the u32* 
But 🏳️⚧️
Also I never said you is trans I just said 🏳️⚧️
there might be some alignment requirements who knows 
im not saying im not trans, im saying im not trans due to the triangle
the triangle is transphobic?
Was it due to the 🏳️⚧️ I sent?
Only if it's a polymorphic relative, or void*. The void* part is goofy because you can just static_cast to void* then a different type to bypass the normal pointer static_cast rules.
oh ok
C-casts (T*) are an abomination because they can be either static_cast or reinterpret_cast depending on the context.
Most are
that im trans, that the triangle does not make me trans, or the fact im even mentioning this in the first place?
toast you’re gonna get cancelled at some point explaining yourself
and const_cast, that's the biggest problem
yeeeeeeeah....
ahhh no I actually called him toast
Are you trans because I said 🏳️⚧️
no
If so I must exploit this power
:(
crazy how a single reaction emote can make a conversation weird
the toasts are getting to me

why is it 2 hours
oh
why wouldn't it be
another rust cultist
if the triangle makes him not trans, we must take away his triangle to make him trans
Just mprotect() to make sure the variable is for sure writable even if it's in executable readonly section 
Maybe if we just double the 🏳️⚧️ then it will out power the 🔺
wheres' the triangle leaderbaord again

i never said i wasnt trans, but that has nothing to do with the triangle. the triangle is ungendered
cuz its 3 vertices
I gotchu
^
That's what the 🔺 wants you to think

WHOA

WHOA WHOA WHOA
I pressed the wrong thingy
crazy how we're humanizing a shader running at 126000 fps now


\🔺 and \🍆,the classic combo
My frequently used emojis happened to have 🔺 next to 🍆

how is 🔺 in your frequently used emotes?
^

needing to censor emotes is crazy work
I censored the server icons of the servers I am in
no, the frequently used bar gives the stuff you use the most at the top, triangle shouldnt be 2nd after only using it a couple times today
do those servers require the use of 🍆 more often 
A lot of things require the use of 🍆

Yes logic :3
why does the triangle appear as the 2nd most frequently used thing in your emotes bar?
that cant be only from today

It is?
I don't use the small colourful shapes often so using something like 5 times gets it into my frequently used
??????
Vibe modding...
joke cuz they mixed them up
Classic 🍆 🔺 Moment

Wait this looks sus
that it sure does
Egg plant
im pretty sure the chat history from today will eventually be used against me somehow

Wym "might have said"😭 😭 do u not remember 😭
here
hi lmao
hello

the meds fucked my sleeping schedule up aaaaahghg
Wait so are u trans or not I'm confused😭 😭 😭 do u need new pronouns now or what did i miss
idk



simply never be famous enough for that to matter
im not planning on being an npc my whole life
npc - neuro power clipper
not a bad digital footprint
so far
well keep it that way

can you not control it
mostly ye
I can't wait for the things my haters find after I make it big
there has to be a goldmine somewhere
About 1 hour ago
i dont think i have anything to worry about, besides the old fortnite vc
not even a fraction of my full power
I'm actually especially tame here
not something to be proud of 😭
If you are that 28b SSN AGI AI thingy are not a faction of your power I am scared

AGI is just a weekend throwaway project
Sure
you wouldn't get it
because ** makes it ittalic
is discord italian-phobic?
and ** ** makes it bold
Ohhh mark down
Yeeee
Uhhh
How about * head pats *
Yay fixed
and *** *** makes it bold itallic
you can jsut use backslash to cancel the effect
like i did
Huh
\*headpats\*
OHHHHH
*headpats*
*head pats*
\
bbbb
bbbb
create aeronautics out
so far im better at hydrodynamics
what about kinematics
i know some of it
mainly the stuff i learned in school, and the blender rigging system

the hardest thing about ik is not even the math, its the collisions
cuz you can calcualte the position where the knee should be if the ground is at y height
but it the knee is then in a wall you're fucked
or you choose to ignore it
at the cost of it looking bad
for a 3 point setup it's not even that bad tbh
since you can rotate
if there's bending there is a circular path on which the middle point can move
you can rotate it a bit, but ideally your knees arent behind you
yeah you clamp it
nah like
you can check the knee collision after doing IK
if you want to keep the body in place at least, you can do stuff in different ways
the issue is that if it collides and you have to check if a new position will work, then you might be wasting a lot of cpu for 20 different position checks
so its better to check as early as possible



