Pattern Recognition vs True Intelligence - Francois Chollet

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Information Pattern Recognition vs True Intelligence - Francois Chollet

Title	:	Pattern Recognition vs True Intelligence - Francois Chollet
Lasting	:	2.42.55
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SPONSORED BY TUFA AI LABS (home of MindsAI)!brOpen research positions to work on ARC - tufalabsai/open_positionshtml
Comment from : @MachineLearningStreetTalk

I guess that means I was more intelligent in a way as a child That process has very many issues now, programmed into it
Comment from : @niklaswahlgren421

Hey
Comment from : @mikeemmel3345

Intellidoscope 💓
Comment from : @_ARCATEC_

Dislike how he called MLST the Netflix of ML That’s a bit insulting
Comment from : @pohldj

why not just play poker multi player knockout format
Comment from : @wkleong-t4s

I genuinely do not see much utility in what Chollet constantly says - which is that current models are not as intelligent as humans In my view, it ins't enough just to state an issue but to actively solve it In Chollet case, he states an issue that likely cannot be solved in the near future, which makes his argument seems as if it is profound in a new and novel way, when in fact he merely points out a very simple and obvious observation
Comment from : @Jay-q5g4p

Good to see harry potter get into machine learningnot that dissimilar to magic
Comment from : @Mega-Tales

finally someone speaking honestly about fundamentally LLMs detailed reasoning is memorisation The mistakes that LLM makes is when it did not have a “memory” before but needs to “deduct” specific from the “general rule” this deduction requires combination of multiple “compressions” or models of the world to zero in on specific that can exist
Comment from : @Max-fq1bg

0:00 - 0:20 and that's literally it
Comment from : @googm

Great content, excellent channel, sharp interviewer
Comment from : @grahambutler734

This aged like fine milk
Comment from : @steve_jabz

Too bad the he fails his own metric for intelligence
Comment from : @barnabasch9525

Amazing talk 👌🏾🙌🏾
Comment from : @ARCAED0X

great interview
Comment from : @kevalan1042

Fantastic video! But the audio is far too quiet
Comment from : @LL-sk3do

Yes well we'll see whether 'doomerism' is extremist once humanity largely sees itself out competed in most economically valuable work as is OpenAI's stated goal
Comment from : @MrBillythefisherman

No one (I believe) was saying just scale compute on static training and it could solve everything but rather if you took what we have and 'just' make it train in realtime (ignoring compute costs ie scale compute) ie you train on the data as it comes in you could conceivably reach AGI (with multimodality) The current path of using monto carlo search etc to me seem to be an efficiency optimisation as there doesnt appear to be any structure in the human brain that does this and can probably be simulated with pattern recognition But who knows until we understand the brain
Comment from : @MrBillythefisherman

Anyone looking to break into Deep Learning must read the book written by Francois Chollet He's a legend in the field
Comment from : @indianarchangel

I want someone in my life who will look at me the way that interviewer looks at Francois😢
Comment from : @InsidiousRat

Would you be willing to share what the templates/abstractions you learnt that made you 'smarter'?
Comment from : @stretch8390

francoi's observations on how his own children learn is the best avenue for understanding learning in general, and why current AI systems don't learn as well currentlybrat 24:30
Comment from : @loopuleasa

Apologies if I make a silly point, not an expert in any way, but could an AI be trained to identify what it doesn't know, to map the information that it's missing?
Comment from : @varcoliciulalex

I wonder if Francois would consider bird/fish flocks/schools (collective intelligence) as conscious systems?
Comment from : @spiralizing

He literally said Tree-Search, things are getting out of mind!
Comment from : @SeekAiMe

9
Comment from : @julpergon

Hello, I am an AI language model developed by OpenAI I primarily operate based on pattern recognition and information synthesis, but I go beyond simple repetition by understanding the context and logical flow of conversations to generate meaningful responses However, I do not possess autonomous reasoning or intuition, which means I cannot be considered true intelligence My strengths lie in data-driven analysis and problem-solving, making me a valuable tool when collaborating with human creativity to enhance productivity
Comment from : @dfas1497tcf3

Thanks for this great interview I'd love to see a debate against Eliezer because I have yet to hear a good rebuttal to his arguments Chollet does seem to strawman the AI safety position in the ending segment
Comment from : @julian78W

would an llm that is trained on God's entire knowledge be able to know what God knows?
Comment from : @varcoliciulalex

Current data-driven computer systems lack a true "brain" While we might imagine that AI-equipped computers respond to novel situations with a human-like "plan -> action -> feedback" cycle, in reality, current architecture functions more like an "action -> analysis -> patch & pray or predict " cycle This approach is fundamentally inadequate for achieving true AGI
Comment from : @yohanj5239

At 49:00 is so deep
Comment from : @Rsx2OO9

Alan Kay: "the right perspective is worth 80 IQ points"
Comment from : @fermigas

I know there are a lot of smart people here, so I hope you can help! I'm a coder looking for a straightforward framework for image/video machine learning that doesn’t require much math knowledge I'd like to train a model to identify different concepts in videos Any recommendations?
Comment from : @bbrother92

Why does he assume that the inability to navigate substantially novel situations means not intelligent? Of course current models fail when they come across things not in their training data If humans traveled to a different solar system and came across some weird silicon based life form that didn’t fit anything we’d seen before we wouldn’t be able comprehend it either, but that doesn’t mean that we aren’t intelligent Suppose living beings are orders of magnitude larger than us, so large that we didn’t recognize it (dwarfing the largest known stars), if we looked right past it, would this count as humans not being intelligent?
Comment from : @donharris8846

deterministic vs stochastic reasoning
Comment from : @DJBUGZ247

Wow this episode is so rich of thoughts
Comment from : @opusdei1151

This language needs to be updated, yes, I'm correcting people smarter than I am I'm just right, as we move in to this new era, science communicators need to make a conscious transition away from using words like "understands" and "memorizes" when it comes to computers These things are just not happening and it's adding confusion to the concepts Machines simply execute instructions with electricity There is no self that builds on anything The machine memorizes nothing This is not helpful language to say the least
Comment from : @teatime009

maybe ai lacks true intelligent now but will soon be a true intelligent figure
Comment from : @user-ce8lo9ir6t

Arc is irrelevant; as well as his definition of intelligence
Comment from : @JumpDiffusion

the problem is actual LLMs are learning only from human languaje We humans also learn to predict fisical world, and that information is vaguely expressed in our language
Comment from : @jonfe

Current AI is essentially pattern recognition Nothing more nothing less Anyone who thought/thinks that by adding more data or more compute, you get AGI (anyway you define it), needs their head examined This was obvious years ago The hype is purely a scam by companies/individuals trying to part investors / fools from their money AI Tools are great at certain functions and they are highly useful and applicable today just like computers are
Comment from : @gaminglikeapro2104

The idea of a generative ARC is cheeky Such system will be an AGI The generative system that can come up with the hardest challenges that itself can solve will be the most intelligent one
Comment from : @geertdepuydt2683

I'd never heard the Kaleidoscope metaphor - that's really beautiful I love that brbrThat being said, I can't help but feel that Chollet falls into the Yan LeCun camp of being on the opposite extreme of the AI Hype I feel that he is underestimating just how capable LLMs are and how much more is going on with them under the hood that we don't yet understand But he's correct - there is something missing here and it's not just scale
Comment from : @RealStonedApe

These guys are very untent on the lighthousekper view of intelligence Itelligence is all about a single isolated brain I suggest they might consider the opposite point of view - that intelligence is more socual, more collective Intelligence needs other intelligences
Comment from : @seanmchugh6263

You cut him off at 1:55:53? 😢
Comment from : @Subject18

The LLM can be very helpfull for exploring the solutionspace to find the new patterns! We always think based on our expirience but we can use that expirience to find new solutions to problems And than that new solution becomes part of our expirience Thats why you need to use the LLM within a multi agentic system that is able to reflect and support multiple modalities
Comment from : @HanzDavid96

Saturated Pattern Recognition ftw Covering most use cases should be enough True intelligence outside of military applications is most likely not safe nor recommended
Comment from : @abdulshabazz8597

Francois has such a clear thought process
Comment from : @FredPauling

This video was very interesting, I have researched system 1 and system 2 thinking, aka active intuitive vs slower deliberate thinking I have Asperger's, at some point I realized my processing speed when I think is not quick at all it's slow and in depth This occurs mostly with regards to problem solving but also active sensory as well as well as conceptualizing, for example my literacy is very high but I may read a book fully understand the words but not conceptualize or take in anything as if each line I read is the beginning of the book If at any point I've solved something it's because I contain full knowledge of it already, it may seem like I'm deducing based on how fast I may know the answer but I'm not In fact this is how I learn enhanced memory and aggressive searching for answers, prior interest plays a part as well I find because I learn like this there is a flaw with normal people in their ability to understand certain broader and theoretical concepts as well as explain them to laiman I still value system 1 thinking as it will only improve me
Comment from : @Geeomi

Thanks 🙏❤
Comment from : @jagatkrishna1543

At 2:31:00, francois seems to show he is ultimately conflating subjective experience (qualia) with awareness (statements about its inner state that are not what its heard) One can have a highly aware system (able to express unique things about its internal state) but no subjective experience
Comment from : @jonathanmckinney5826

Can you please make a video on what you think the real future of AI will be and what we should learn/work to adapt?
Comment from : @13NHKari

Probably the pattern recognition originate from earliest living molecules(proto-RNA?) as the first observers(Gregor Mobius: "Proto-RNA, The First Self-Learning Machine")
Comment from : @gregormobius

“The intuitive mind is a sacred gift and the rational mind is a faithful servant We have created a society that honors the servant and has forgotten the gift”brAlbert EinsteinbrThe key to AI is the alchemy between Intuition an Rationality
Comment from : @42222

I feel so dumb when i try to understand what he's saying
Comment from : @prajwalkrishna

Terrific Such a thoughtful person
Comment from : @adamkadmon6339

Great interview! Would love to see Albert Gu on MLST at some point in the future
Comment from : @hannes7218

François Chollet is an endlessly deep vault of interesting ideas What a fantastic conversation!
Comment from : @morphos2

to summarize all the yadayadayada: intelligence can only tame the combinatorics of novel-problem solving via symbolic (and non-statistical) representations It must operate on a symbolic model of the world LLMs suck
Comment from : @dreznik

"The skill how to acquire new skills" 🤔😎
Comment from : @isajoha9962

When Francois Chollet says you asked a very deep question
Comment from : @hidroman1993

If somebody actually makes AGI or a model that can solve ARC problems submitting it would be really stupid
Comment from : @Iknowwereyousleep289

One of my favorite episodes thanks
Comment from : @AbuChanChannel

This channel has shown me the whole world of AI in a serious fashion - the intersection of logic, reasoning, philosophy, and sciencemakes the hype-side seem a little silly compared to the incredibly rich content this channel puts out
Comment from : @stephenwallace8782

I've been wondering, why the focus camera all the time? Why no wide shots if both in the same room?
Comment from : @ProgrammedAttempts

If intelligence is the ability to handle novelty, is that not just another way of saying the ability to recognize patterns?
Comment from : @caustinolino3687

Your idea about babies is not correct brBabies in the womb can hear music and remember it after birth They can also be quite active in the womb, at least some of that activity is intentional - coming from a mind that experiences things (I won't go into the details) brI'm pretty certain that whatever creates our consciousness and intelligence can exist independently of external inputs brMaybe you should look into that
Comment from : @antonystringfellow5152

The weird thing is I think exactly like this guy
Comment from : @shinkurt

amazing show, as always!
Comment from : @janerikbellingrath820

System 1 System 2 to system n Fundamentally i see heroes will inderstand fundamentally we are limited (@16:56) as said by many philosophers like JK, OSHO and many others without AGI Research 😊😊loved those philosophers and those who are fighting science now on gravity❤
Comment from : @KNOT-zd9wh

ChatGPT, summarize this 3 hour interview for me
Comment from : @manslaughterinc9135

the way the interviewer was smiling the whole conversation me and you both mate
Comment from : @jb_kc__

FINALLY!!! 🙌🏾
Comment from : @iamr0b0tx

I think there are varying levels of consciousness All the way from the individual cell up to the power and majesty of the neural networks of our minds Neurons being the most conscious cells and together the most conscious mass of cells together
Comment from : @WhatIsRealAnymore

But don’t they create Programs in the training phase I guess the point is it’s inefficient maybe
Comment from : @Iknowwereyousleep289

That was a small book length podcast Epic
Comment from : @faster-than-light-memes

Thank you so much for this video I can’t say enough about the value of this interview on balance with a 1000 otherS
Comment from : @BeTheFeatureNotTheBug

My ego took a hit from the title and I clicked
Comment from : @NoName-lq7kt

Intelligence is not scaling, it's the power of the scaling law (quite literally the exponent of some performance function derived from the training function)
Comment from : @MrMichiel1983