I really enjoyed this conversation with Gary. Here's the outline: 0:00 - Introduction 1:37 - Singularity 5:48 - Physical and psychological knowledge 10:52 - Chess 14:32 - Language vs physical world 17:37 - What does AI look like 100 years from now 21:28 - Flaws of the human mind 25:27 - General intelligence 28:25 - Limits of deep learning 44:41 - Expert systems and symbol manipulation 48:37 - Knowledge representation 52:52 - Increasing compute power 56:27 - How human children learn 57:23 - Innate knowledge and learned knowledge 1:06:43 - Good test of intelligence 1:12:32 - Deep learning and symbol manipulation 1:23:35 - Guitar
@godblessamerica7934 жыл бұрын
Thanks Lex. When it comes to programming A.G.I., should programming be considered an approach to the rules of a particular game or should programmers focus on a machine's ability to obtain knowledge, relative to it's environment (which can be an independent variable, when it comes to potential new physics)? The definition of survival is being comfortable when it comes to common sense acquired over time, in my opinion. Your thoughts would be appreciated, if you have time.
@jonahwelch67664 жыл бұрын
try to look your interviewee in the eye a bit more when asking questions, it'll help with general flow of conversation, and great video once again
@Miki7364 жыл бұрын
There are no subtitles. I have problems with hearing. Can you fix that?
@lexfridman4 жыл бұрын
@@Miki736 Automatic captions are usually enabled by default. I'm not sure why they're not ready yet. I reached out to KZbin just in case it helps to speed it up.
@lexfridman4 жыл бұрын
@Николай Каретников Privet, will do. See my comment above. Automatic captions haven't been automatically generated yet for some reasoning. The song is All Along the Watchtower by Jimi Hendrix (Bob Dylan original): kzbin.info/www/bejne/in25ZZKulr6spLs
@aullvrch2 жыл бұрын
I would really like it if you had Gary Marcus on again! I think his prospective is unique and it would be interesting to hear what he has to say about GPT-3 as well as more about symbolic AI.
@TheBilly2 жыл бұрын
ClosedAI denied him access to gpt3 during the early access period (but gave it to complete randos) so, indeed, it sounds like he has some important criticisms that they're running scared from, trying to artificially craft an early narrative that he could tear down.
@KDawg5000 Жыл бұрын
I doubt that will happen as Lex has blocked Gary on Twitter. 🤷♂
@isaiahcastillo89811 ай бұрын
@@KDawg5000 why would he do that
@darylallen248514 күн бұрын
@@isaiahcastillo898 [ redacted ]
@JohnLoganR4 жыл бұрын
Hey lex just wanna shout-out and let you know I appreciate the good work put into this channel. Fascinating as always. Keep it up.
@ericpmoss Жыл бұрын
I think this is one of the best discussions I have ever heard on these topics, especially the unfair, unscientific demise of symbolic AI.
@PatrickQT4 жыл бұрын
You're doing a fantastic job lex. Great podcast.
@Mithon814 жыл бұрын
Not sure that I've seen all of your interviews, but this is the best of the ones I've seen so far. You are a very good listener, and when you speak it's measured, insightful and gives a lot of room for you interviewees. Keep them coming. You made my day.
@viveknayak98994 жыл бұрын
Lex, this podcast is a treasure. I've witnessed spectacular improvements in your interviewing skills over the last few months.... Kudos to you and keep going!
@aminesadou91684 жыл бұрын
When de can see an episode with Jedea Pearl on causal inference and causal learning AI ?
@entiretwix14804 жыл бұрын
Lex is always apologizing that his quality content isn't as quality as it could be, which is silly because I think it's great content regardless of it relative to it's potential, but I guess that's how some people improve. I love your videos lex
@walterpark8824 Жыл бұрын
Picking your best interview is as nonsensical as a single, narrow Turing test, but I must say this interview with Marcus is to5ally satisfying. He's so right with you and the field that he repeatedly interrupts to get right to the essence and strip away any unuseful assumptions. The breadth of the discussion is staggering, and once again, so satisfying. This just isn't a simple topic, and the many parts are essential to the whole. Also, the little musiçal ending hit just right -- any conversation that can leap from Bertrand Russell to Hendricks and Lennon has unassailable joys, Thanks so much for this 90 minutes of hype-free general intelligence. I may have to watch this one again, not for the info, but just the pleasure of it.
@still2weirdfoU4 жыл бұрын
I honestly didn’t think I liked the style/demeanor of your interviews, but it’s grown on me, especially after the Susskind interview. The fact you attack the interview from different angles and put all the topics with timestamps in the comments earned you subscriber. Please keep doing what your doing.
@davemilke31104 жыл бұрын
I've listened to many of your AI podcasts. This one in particular, will revolve in my top 3 for the foreseeable future . For me, some quality thinking and dialogue - Thanks.
@dapdizzy4 жыл бұрын
I loved this conversation so much! One of the most enjoyable for me it was.
@M.C.19974 жыл бұрын
Lex, we all owe you a massive thank-you. I'm praying everyday to see Hinton/Demis on here...keep up the good work.
@mikejordan24284 жыл бұрын
Excellent guest! Thanks for the podcast Lex!
@kozepz4 жыл бұрын
Thanks for this interesting conversation and touching the point of ethics briefly. Would love to see a conversation with George Church somewhere in the future if possible. If I remember well he was also a panel member at one the World Science Festivals with some ethicists, scientists and philosophers. A heated but nonetheless very interesting discussion. Don't change your interview style, I like it very much!
@kylegushue4 жыл бұрын
Awsome job bringing up music! Cambridge, MA, based recording software brand Izotope is now incorporating ai into their stuff. Would love an episode with them.
@ondrejmarek19804 жыл бұрын
awesome podcast/interview, are you planning in the future do some expanded like you and two or more guests?
@Anyreck Жыл бұрын
Very inspiring concepts explained here by Gary!
@keylanoslokj18064 жыл бұрын
what an awesome bunch of interviews you got there. unbelievable people.
@Aj-ut8co4 жыл бұрын
In love with these podcasts lately. Can’t stop watching. Keep it up! So much good information here.
@ErvinNemesszeghy4 жыл бұрын
Great conversation. I was looking for a question about the full self driving. What Gary thinks about Tesla? Would Tesla be able to pull off self driving only with Deep learning, or Tesla should look for program 'Innate knowledge" about the world in their cars in order to succeed. (They may do it if they have to.) I would really like to know his opinion about this. Or is the answer in one his books. I order the latest book, will see, but if others know his opinion about this, please let me know. Thanks for the great interview ...
@connorshorten63114 жыл бұрын
Great guest, I need to get a copy of Rebooting AI! It is interesting to learn more about the intersection of cognitive science and deep learning / deep RL. I would also recommend checking out papers from Brenden Lake at NYU as well such as "Improving the robustness of ImageNet classifiers using elements of human visual cognition" (pre-print) and their success on the Omniglot one-shot classification task using techniques inspired by cognitive science.
@mattcs58344 жыл бұрын
Presision talking both of you, ready with answers right away, both suportive of fast free thinking. Almost zero distractions with "you knows or likes" just great communications.
@eliastouil76864 жыл бұрын
I liked it that you asked a music question :)
@aproperhooligan5950 Жыл бұрын
Very good interview, Lex. Thank you!
@JamesCairney4 жыл бұрын
Jimi Hendrix all along the watchtower, quality tune, good answer! (I can play it on the guitar too, you're not alone there Lex 🎸)
@masdeval24 жыл бұрын
Lex, your questions were excellent!
@danielbigham4 жыл бұрын
Great interview! I've found Gary to come off as caustic in Twitter in his spats with Lecun, but I really enjoyed listening to his thoughts here. And I've long resonated with the intuition that the proper synergy between deep learning and more symbolic approaches will lead to great things.
@jonabirdd4 жыл бұрын
It sounds like a bunch of bullshit to me. It's based off poor intuition about what is means for humans to reason logically. Humans don't reason by manipulating symbols, but by connecting concepts. A beginner approaching the field can say the types of things he is saying. I said it before I trained my first model. What we need is people who can say HOW to do it, not some vague idea of what we still can't do. Basically, this is a real whiny bitch who isn't doing any actual work.
@thegamerwhopwns Жыл бұрын
Truly incredible that I am able to watch this
@danellwein86793 жыл бұрын
thank you Lex for this very much … I am in my 60s … but have never enjoyed knowledge as much as I do now … thanks ..
@empathylessons22674 жыл бұрын
I think one thing we take for granted is how long it took evolution to design our "common sense" systems, are other task-specfic brain nuclei. Personally, I think the road forward is to continue developing useful mechanisms like Convolution, Recursion, Deep Q learning, and, a personal favorite, the Transformer. But the way these blocks fit together (and the depth or parallelization of the blocks) to produce a generalizing intelligence, should be evolved throughout a very long period of time. The real challenge is developing a virtual environment with diverse enough data and tasks to facilitate selection for inter-architecture relationships that support general intelligence.
@pramod.athani3 жыл бұрын
Absolutely fascinating interview
@ianborukho4 жыл бұрын
You're also so humble in letting your guest have their opinion even when they don't seem to give your point a fair chance.
@tedhoward26064 жыл бұрын
Imagine is one of my favourite songs also. I am now clear that the outcomes imagined in the song are impossible as long as we use markets. They are only possible if we use automated systems to deliver all the essentials and most of the options of life to everyone on the planet. As long as we think of AI within a value context that uses markets to generate value metrics, we are in serious existential risk territory from a very broad set of classes of problems. Agree with Garry completely that intelligence is a deeply nested set of sets of hybrid systems. We need to look very closely at the Bayesian priors evolution has installed in us as heuristics. We each seem to exist in our own personal predictive VRs, and think of them as reality. That idea of modeling intelligence within a model seems to me to be one key component of doing it well. Some very good work being done on highly dimensional valence spaces. It seems clear to me that individual sapient life and the liberty of individual sapient entities (human and non-human, biological and non-biological) need to be at the top of the valence tree, if any of us are to have any significant probability of living a very long time. We need to deeply understand that all new levels of complexity are predicated on new levels of cooperation (which is not yet a common understanding of evolution). And we need to be able to see ourselves as the most cooperative entities on the planet, with deeply encoded heuristics to detect and remove cheating strategies on the cooperative. Competitive markets are not a safe environment for humans, however useful they may be to solve limited problems spaces. We have the tools to provide a secure future for us all, but few people can yet see how that might happen. That needs to change, quickly.
@PhillipRhodes4 жыл бұрын
Good stuff. Any chance of ever having Terry Winograd on the show?
@user-hh2is9kg9j4 жыл бұрын
fascinating, finally someone publicly vocalized what I think about AI (in a more coherent and professional way).
@PhilipTeare4 жыл бұрын
Motivated reasoning is fundamentally motivated by the need for computational efficiency.... There are already analogues in ML. The simplest possibly being momentum. Momentum is basically a form of confirmation bias. And... it 'helps'.
@TimGreig Жыл бұрын
"Committees of wise people" What a concept...
@iam1nerd4 жыл бұрын
I pick up a lot from this podcast. Hey Lex, since you mention sophia so often, I think you should invite Ben Goerztel to your podcast to talk about OpenCog and SingularityNet. Both seem to be really interesting stuff.
@Masaq_TM4 жыл бұрын
Any thoughts on Procedural Generation in gaming and if/how this could be adapted for AI learning? I’m just a layman but I think there could be value in experimenting with PG in the learning process
@AsgerAlstrupPalm4 жыл бұрын
Symbolic AI was pursued by relatively few and primarily technically-minded people. If you bring experts in understanding experts in, that alone will be a boost. There is an entire discipline focused on distilling expert knowledge, so it can be taught. The focus is on teaching humans, but the methods are maybe the key to symbolic AI. This approach holds promise for how to bridge deep learning and symbolic AI . I would love to hear an interview with a guy like Bror Saxberg. He has done learning engineering for humans at scale. If anyone knows how to teach based on science, it is him.
@thenextweek24164 жыл бұрын
This was a very informative discussion and I think I gleaned more information here on the underlying way AI "thinks" then any other discussion on this topic. I have wondered if AI needs a sort of baseline set of instincts / understanding that it can build on to be truly intelligent. It would seem that is what narrow AI might be accomplishing in the current state and in the future, maybe we will use a bunch of different narrow AI's as a way to program instincts in a system. Such as using computer vision and physics as a precursor to understanding environments or actual intelligence.
@jeff_holmes4 жыл бұрын
I agree. Since humans are so good at developing common sense reasoning, we should be looking at what those basic building blocks/algorithms/instincts are in newborn/young humans. Certainly a great deal appears to rely on perception and experimentation.
@ianborukho4 жыл бұрын
What a great intro! Way to be so bold and put your own personal development out there!
@dot.O4 жыл бұрын
I watch these and normally would only understand a small percentage of what is being said. But his answer for that evolution question, made the most sense to me when it comes to relating humans to AI.
@juhanleemet Жыл бұрын
excellent interview! very relevant observations! I agree that ML systems are basically trained classifiers! We also need symbolic logic, probably both in combination.
@scottcarlon63184 жыл бұрын
For machines to understand human thought process in regard to problem solving and learning, the machine needs to understand pain. This has been the motivating factor for humans and without it progress would not have been possible.
@MrOftenBach4 жыл бұрын
Great ideas !
@georget58744 жыл бұрын
CYC ....I remember reading about this in wired(I think) in 1995 when I was going my computer science degree. The article was like this is going to be the next big thing, this will solve AI, Marvin Minsky loves it, blah blah blah. After that I never heard of it again.
@gallerksee3 жыл бұрын
Good conversation
@summersnow72964 жыл бұрын
Limitations of DL is a known fact. I don't think many people in the field are saying DL is the only thing in AI, but DL does solve many practical problems that weren't possible before. Rather than throwing stones at deep learning and lamenting that a better approach is needed, it would be great if symbolists can show something that can augment progress already made by DL.
@wave91424 жыл бұрын
Never thought I'd listen to two people talking about bottles for an hour and a half :^)
@vast6343 жыл бұрын
Standard topic in a pub.
@WaylonFlinn4 жыл бұрын
That's one hell of an opening question.
@marcagouni50844 жыл бұрын
Great opinion of this huge study in IA !! really appreciate this interview ***** Genius Gary Marcus °°°°°°°°
@PatrickOliveras4 жыл бұрын
What is the conference he is talking about at 7:30? I can't seem to find it
@mtpco4 жыл бұрын
It used to be called NIPS, but it's renamed as NeurIPS. Zuckerberg attended a Q/A session in 2013, it seems.
@PatrickOliveras4 жыл бұрын
@@mtpco Thanks, I get that, but I couldn't find that specific talk
@mtpco4 жыл бұрын
@@PatrickOliveras it was not a talk, he attended a panel and there was an informal q/a session. You can find the summary of it on Reddit if you search for it.
@PatrickOliveras4 жыл бұрын
@@mtpco Ah I see, thank you!
@rasbperrypi133 Жыл бұрын
Back to watch again post the most recent beef 🥊
@zackandrew50664 жыл бұрын
Great interview
@LuisGuillermoRestrepoRivas2 жыл бұрын
The path of neural networks towards intelligence that generates abstract concepts, generalizations and analogies at a level that allows, for example, the generation of humor, is extremely long. Research in symbolic AI and symbolic learning should not be abandoned.
@tandavme4 жыл бұрын
very good talk
@WaylonFlinn4 жыл бұрын
Innovations like variational autoencoders seem to be moving the abstractions learned by deep systems towards human comprehensibility.
@empathylessons22674 жыл бұрын
Ey, the biomimicry thing speaks to me. I'm starting a PhD in neuro with my main focus being application of neuroscientific principles to ML.
@PartyRockAdviser3 жыл бұрын
14:32 - Vocabulary is finite, language is not, even at the most basic combinatorics level. Add to that complexity the parts of the semantic signal that are implied in language that come about through creative phrasing, voluntary injection of errors to create affective effect, the intentional omission of expected syntactic and semantic elements to create additional implied meanings, and on and on, and the *actual* solution space provided by language for expressing meaning and emotion is *incredibly* large. But the more important underlying principle behind the complexity of language is the most damning. Language is only the "visible" projection of our unbelievably complex model of the world and our self. How these elements interact with both internal and external signals to create the words and sentences that end up in speech and in writing is what is important, not the words themselves. It is impossible for machines to extrapolate all the nuances of meaning hidden in human dialogue without that same cognitive machinery.
@p00ki624 жыл бұрын
Never knew how smart Seth Rogen was
@stefanxhunga16814 жыл бұрын
One Special Discussion!
@RalphDratman4 жыл бұрын
I think the problem of physical "common sense" is more difficult than the psychological one.
@jeff_holmes4 жыл бұрын
Perhaps they aren't so different. Both seem to rely on making connections between various models of the world.
@PhilosopherRex4 жыл бұрын
I wonder if we had really good environmental simulation games with a solid economic model and with characters that resemble humans in detail including taking damage in multiple complex ways (while not pain in and of itself, losing the game through damage gives reason enough to avoid taking damage). Putting both humans and AI's into the game may allow the AI's to learn to behave appropriately with humans in the mix.
@franksiam29754 жыл бұрын
Gary Marcus hybrid method of mixing symbolic logic and machine learning is the next door we have to open to bring ai to a other new level.
@hemsworth384 жыл бұрын
make AI robot babies for phisycal learning, and make a free mobile game where in both cases people play the role of teacher and compete for position on online leaderboard. this could speed up evolution of AI if done properly.
@thorcook Жыл бұрын
you get it.
@josy264 жыл бұрын
53:33 gotta say on this one I'm with Gary till the Natural Languare Understanding part, we have consistently beaten most benchmarks and solve with Transformers tricky dependencies or ones that need real world context, e.g. Winograd. Thanks for doing this podcast Lex, I enjoy it greatly.
@scottharrison81211 ай бұрын
Can we have a council of wise men AND wise women please☺️
@loresofbabylon4 жыл бұрын
Free Association assumes that all variables have potentially infinite hidden variables associated with them, which is the basis of a complex number, or the basis of electricity.
@kyuhyoungchoi4 жыл бұрын
Great talk. Lex. How did you remove Gary's burp and cough in the recorded video? Was it done by AI or manually?
@kmolnardaniel4 жыл бұрын
I really liked that you dare to go/ask against the interviewed person. For example when he questions the effectiveness of deep learning, and you ask back, what successes were before, and he kind of comes up with a really generic non answer.
@anthonyrossi82554 жыл бұрын
Why no captions
@platinum0144 жыл бұрын
Gary has a really fresh, interesting and realistic perspective on current A.I. I really enjoyed this conversation. Thanks Lex!
@tonisilva20944 жыл бұрын
very good
@hypersonicmonkeybrains34184 жыл бұрын
I dont think anyone finds their meaning through tedious work or dangerous jobs such as working down the sewers or in a coal mine etc. I certainly found no meaning when i was picking an packing items in a warehouse. In fact it felt like some kind of prison sentence/torture.
@ONDANOTA4 жыл бұрын
27:10 "any human could play Go using a rectangular board" . yes, but at what level? pro? amateur? superhuman? we would just guess and make moves that look meaningful
@franktfrisby4 жыл бұрын
I agree with Gary about deep learning. There is a limitation with deep learning using supervised learning.
@jonabirdd4 жыл бұрын
You shouldn't be agreeing with Gary, then, since Hinton and Le Cun have been saying that since the beginning, just that, unlike this schmuck, they focus on producing useful work with the limited means we now have to incrementally push our knowledge of what's possible and what specific form solutions will have, instead of throwing general criticism worthy of a beginner
@rickyboyz10064 жыл бұрын
I think Lex may be an advanced robot!! A very good one however!!
@gweliver4 жыл бұрын
Lex's interview with Ian Goodfellow had me thinking the same about Ian! Ian's expression-less face must have been intentional, his upper lip rarely moved in relationship to his lower lip, laughs or chuckles were always almost identical, and he tilted his head to the side? I'm really not trying to Judge or Make fun of anybody ever, but it was ackward to watch after the thought entered my mind. if that wasn't a robot then I appologise to Ian, he's such a brilliant person that the AI community is fortunate to have! There I said it, (MIT has made a Ian Goodfellow clone robot) even if it was in the second layer replys!
@rickyboyz10064 жыл бұрын
@@gweliver lol, you never know. Maybe just a soft intro into humanity! I have to check that interview out!
@rickyboyz10064 жыл бұрын
@@gweliver What if lex tries to get me know with his advanced A.I. knowledge and military grade components!!! AAhhhhhhhhh!!
@tombombadillo14 жыл бұрын
His statement of a brain using just 20 watts at 55:55 was just silly. In terms of flops if you try to make such an analogy to brain spikes, brains are indeed on the magnitude of AWS servers (or up to 1000 times larger depending on how you estimate the calculations). Brains are just a lot more power efficient.
@BagMrMan4 жыл бұрын
It is going to be huge! Buy AGI (SingularityNet) tokens!
@freeintellect Жыл бұрын
Lex: Isn’t big data AI amazing? Marcus: No. There are better ways to proceed. Lex: You’re a cynic.
@CharlesVanNoland4 жыл бұрын
@24:00 If we could indeed just erase a memory of an experience that we find unpleasant we would not have any motivation to avoid or otherwise make an effort to prevent having similar unpleasant experiences again in the future. Suffering is how we learn what not to do. @48:30 The "ocean of knowledge we all operate on" is garnered via life experience and is something we all assume eachother has. Therefore an AI agent that we'd expect to be able to operate with similar background knowledge would invariably be required to learn how to exist, in the same fashion that any conscious creature does. Only after an AI has been "raised" (i.e. 'trained') to be aware of what it should be aware of and behave as we would expect it to behave will you then be able to shortcut the training process with subsequent agents by simply mass-duplicating the trained agent's learned data structures into new machines. @57:40 The "innate stuff" that every conscious creature is born with boils down to having a sense of reward/punishment (punishment can be thought of as being on the same spectrum as just negative reward). Pain and pleasure are absolute, they are not learned, they are built into our DNA - the DNA of every conscious creature on the planet. They are the key to creating something that can gather an "ocean of knowledge" via the experience of its own traversal through the world through its existence as a physical being. That and an ability to make chains of spatio-temporal associations so as to be able to not just recognize spatio-temporal patterns but also how to react to them as a chain of voluntary actions that can be practiced and refined. I know most hope to boil what is intelligent about creatures/humans down into something that doesn't involve reward/punishment, or existing, but that is misled and ignorant. Intelligence doesn't exist for intelligences' sake. It exists for survival's sake. It's an instrument of existence as a being, and has no reason to exist or do anything - no matter how much you try to force it - unless there's an element of reward/punishment and the delineation between itself and its environment. It needs some form of perception, of something, anything, and it's ability to effect its learned behavior on what it is perceiving, whatever that may be. That doesn't necessarily means it needs a physical body, but it needs something to interact with and a means of interacting with it, and enough dimensionality in its perception that it can actually develop awareness and understanding that is of any value. At the end of the day, though, the only way you're going to create an AI which has human-like understanding is you raise a robot like a human, period. Teach it all the things every human learns how to do, otherwise it has no context, no grasp, no sense, no idea.
@jonabirdd4 жыл бұрын
Factually wrong, pain and pleasure are tightly coupled to presets but a significant proportion is acquired.
@CharlesVanNoland4 жыл бұрын
I love when people can't actually back up their arguments with logic, it's like watching LoTR or Harry Potter (especially Harry Potter) where anything goes! Talk is cheap.
@jonabirdd4 жыл бұрын
@@CharlesVanNoland My friend, it is logic that is cheap; anyone can concoct a "logically" sounding argument, it is evidence that is sparse.
@JulioHuato Жыл бұрын
17:52 “AI systems with or without physical bodies …”. How can AI systems exist without residing in physical structures? What effect would they have on this physical world we live in? And who would build them?
@deadeaded Жыл бұрын
Physical bodies =/= physical structures. A physical body is something that interacts directly with the physical world, though cameras and motors and stuff like that.
@avadhutd14034 жыл бұрын
Just one question folks If we create a neutral network that is same as baby earthworm and give it vision and other things same as earthworm Will it be exactly behave as earthworm ????
@oisiaa4 жыл бұрын
I'm more in line with Gary's future of AI than Elon Musk's. I think we will have narrow AI with certain functions, but general AI will *never happen.
@RalphDratman4 жыл бұрын
To suggest that human intelligence is a low bar is charmingly absurd when uttered by a human speaking in a human language while sitting in the midst of human artifacts and transmitted to viewers by human communication technology.
@AllUserNamesTaken1114 жыл бұрын
Marcus comes across as a Mr. Know-it-all despite the counterfactual reality.
@AllUserNamesTaken1114 жыл бұрын
"f(x)=y+2" lol
@JQ1337 Жыл бұрын
interesting.
@empathylessons22674 жыл бұрын
On a better Turing test, I believe the multiplayer-gaming community is an untapped data pool, with which you could train NLP networks to learn to communicate in a way that human players (that opt into the possibility of playing with an AI) cannot tell whether they're interacting with an AI or a human player. I can even see a group of friends playing a Turing game for fun, since for them it would be about tricking their friends into thinking they're an AI (while the AI learns to produce languange more like the human players).
@JM-rl9ve4 жыл бұрын
I wonder what Lex looks like in a T-Shirt
@bearwolffish4 жыл бұрын
Dude handles his hiccups like a boss.
@lolerskates8764 жыл бұрын
1:02:00 An amazing part of evolution is that it allows for life to adapt to different environments. Evolutions allows life to play both on a square Go board and a rectangular Go board. After many mass extinctions life has come back and thrived. Not only is evolution cumulative; but as the world changes evolution allows for a completely different fitness functions to take over. A fish would die in the desert and a dog would die in a corral reef; yet in the geological records we have sandstone and mudstone ontop of limestone (and all layers can have fossils).
@andrewferg87374 жыл бұрын
Seems like he is advocating something like programing a system with the notion of Platonic Forms. Humans have wrestled with this idea of what constitutes "the thing itself" for eons and have not reach a consensus. It will be interesting to see some attempts at explaining it to a machine...
@michielkarskens22842 ай бұрын
You gotta listen better to Chomsky Lex. The dichotomy physical - psychological is the same as the body-mind dichotomy. We intuitively feel the world is mechanical, but Newton showed, to his own great dismay, this is not how the world works. The ghost in the machine, Newton excorsised the machine but he left the ghost in tact. Machine learning street talk made a really good one with him on this, with some really good engenering too. kzbin.info/www/bejne/l6nYeJmeabqFb7Msi=onZ2vVQpazghzl6N Nevertheless, keep up the good work.
@jkobject4 жыл бұрын
that guy is wrong. *this is just a personal statement, I do not intend to make any type of scientific judgement or ad hominem ones. Just an overall reflexion of what has been said about limits of deep learning and especially examples chosen to illustrate them*
@starbirthcalamity Жыл бұрын
Biomimicry is the inspiration for many of our competitive sports. In fact, it's arguable that the distinction between human intelligence and that of other species is the efficiency by which we borrow inspiration. We are the world's greatest copycats.
@josy264 жыл бұрын
Who else is here preparing for the debate?
@X_platform4 жыл бұрын
This guy is a bit outdated no? There is much research addressing his concern nowadays
@dot.O4 жыл бұрын
This research has been going on for 20+ years. He used to be the guy on the other side. He paused to write books, which made him stagnant. As long as the ones coming up, the younger ones, start learning from a point where the questions of the elders are answered and not revisited. Learn from a more advanced stage or there won't be anything new, just a different iteration of what was done in the past...if that made any sense