Kenny Easwaran
Kenny Easwaran
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วีดีโอ

AI Literacy - Lecture 10.1: The Past - and Future? - of Exponential Economic Growth
มุมมอง 1828 วันที่ผ่านมา
AI Literacy - Lecture 10.1: The Past - and Future? - of Exponential Economic Growth
AI Literacy - Lecture 9.1: AI Safety
มุมมอง 1628 วันที่ผ่านมา
AI Literacy - Lecture 9.1: AI Safety
AI Literacy - Lecture 8.2: Interpretations and Misinterpretations of Artificial General Intelligence
มุมมอง 1028 วันที่ผ่านมา
AI Literacy - Lecture 8.2: Interpretations and Misinterpretations of Artificial General Intelligence
AI Literacy - Lecture 8.1: Philosophical Issues for "General Intelligence"
มุมมอง 2328 วันที่ผ่านมา
AI Literacy - Lecture 8.1: Philosophical Issues for "General Intelligence"
AI Literacy - Lecture 7.2: Generative AI for Video and Music
มุมมอง 1728 วันที่ผ่านมา
AI Literacy - Lecture 7.2: Generative AI for Video and Music
AI Literacy - Lecture 7.1: Diffusion Models - Text-to-Image Generative AI
มุมมอง 2328 วันที่ผ่านมา
AI Literacy - Lecture 7.1: Diffusion Models - Text-to-Image Generative AI
AI Literacy - Lecture 6.2: Data Security in the Era of AI
มุมมอง 1128 วันที่ผ่านมา
The day after I posted this lecture to my students, France arrested the founder of Telegram, on allegations that may undercut my claim that the EU is more protective of data privacy than other countries.
AI Literacy - Lecture 6.1: Using LLMs Effectively
มุมมอง 3028 วันที่ผ่านมา
AI Literacy - Lecture 6.1: Using LLMs Effectively
AI Literacy - Lecture 5.2: The Physical Needs of Machine Learning
มุมมอง 1528 วันที่ผ่านมา
AI Literacy - Lecture 5.2: The Physical Needs of Machine Learning
AI Literacy - Lecture 5.1: "Data is the New Oil"
มุมมอง 1028 วันที่ผ่านมา
AI Literacy - Lecture 5.1: "Data is the New Oil"
AI Literacy - Lecture 4.2: Neural Net Classifiers
มุมมอง 3928 วันที่ผ่านมา
AI Literacy - Lecture 4.2: Neural Net Classifiers
AI Literacy - Lecture 4.1: Expert Systems
มุมมอง 1228 วันที่ผ่านมา
AI Literacy - Lecture 4.1: Expert Systems
AI Literacy - Lecture 3.2: What are Large Language Models and How do They Work?
มุมมอง 5828 วันที่ผ่านมา
AI Literacy - Lecture 3.2: What are Large Language Models and How do They Work?
AI Literacy - Lecture 3.1: Neural Nets
มุมมอง 5428 วันที่ผ่านมา
AI Literacy - Lecture 3.1: Neural Nets
AI Literacy - Lecture 2.2: Symbolic and Neural Approaches to AI
มุมมอง 6328 วันที่ผ่านมา
AI Literacy - Lecture 2.2: Symbolic and Neural Approaches to AI
AI Literacy - Lecture 2.1: History of AI
มุมมอง 3028 วันที่ผ่านมา
AI Literacy - Lecture 2.1: History of AI
AI Literacy - Lecture 1: Types of AI
มุมมอง 11028 วันที่ผ่านมา
AI Literacy - Lecture 1: Types of AI
Let's Read! Brian Skyrms, "Signals", 2008
มุมมอง 2308 หลายเดือนก่อน
Let's Read! Brian Skyrms, "Signals", 2008
Let's Read! Noam Chomsky, 1959, Review of B.F. Skinner's "Verbal Behavior"
มุมมอง 1.3Kปีที่แล้ว
Let's Read! Noam Chomsky, 1959, Review of B.F. Skinner's "Verbal Behavior"
Let's Read! Alan Turing, 1950, "Computing Machinery and Intelligence"
มุมมอง 2.4Kปีที่แล้ว
Let's Read! Alan Turing, 1950, "Computing Machinery and Intelligence"
Let's Read! Miranda Fricker,2003,"Epistemic Injustice and a Role forVirtue in thePolitics ofKnowing"
มุมมอง 6632 ปีที่แล้ว
Let's Read! Miranda Fricker,2003,"Epistemic Injustice and a Role forVirtue in thePolitics ofKnowing"
Let's Read! John Hardwig, 1985, "Epistemic Dependence"
มุมมอง 3902 ปีที่แล้ว
Let's Read! John Hardwig, 1985, "Epistemic Dependence"
Let's Read! Jennifer Lackey, 2006, "Knowing from Testimony"
มุมมอง 4612 ปีที่แล้ว
Let's Read! Jennifer Lackey, 2006, "Knowing from Testimony"
Let's Read! Kenny Easwaran, 2011, "Bayesianism II: Applications and Criticisms"
มุมมอง 2212 ปีที่แล้ว
Let's Read! Kenny Easwaran, 2011, "Bayesianism II: Applications and Criticisms"
Let's Read! Kenny Easwaran, 2011, "Bayesianism I: Introduction and Arguments in Favor"
มุมมอง 8302 ปีที่แล้ว
Let's Read! Kenny Easwaran, 2011, "Bayesianism I: Introduction and Arguments in Favor"
Let's Read! David Hume, 1748, Sect. IV of Enquiry Concerning Human Understanding
มุมมอง 4172 ปีที่แล้ว
Let's Read! David Hume, 1748, Sect. IV of Enquiry Concerning Human Understanding
Let's Read! Laurence BonJour, 2014, "In Defense of the A Priori"
มุมมอง 6772 ปีที่แล้ว
Let's Read! Laurence BonJour, 2014, "In Defense of the A Priori"
Let's Read! Kourken Michaelian, 2011, "Generative Memory"
มุมมอง 3362 ปีที่แล้ว
Let's Read! Kourken Michaelian, 2011, "Generative Memory"
Let's Read! Susanna Siegel, 2012, "Cognitive Penetrability and Perceptual Justification
มุมมอง 2962 ปีที่แล้ว
Let's Read! Susanna Siegel, 2012, "Cognitive Penetrability and Perceptual Justification

ความคิดเห็น

  • @jonathanlivengood767
    @jonathanlivengood767 22 วันที่ผ่านมา

    Thinking a bit about the informal behavior argument: taking "rule-follower" to mean something that always follows a definite set of rules of conduct, it looks like Turing is imagining a syllogism roughly like [1] All rule-followers are machines; [2] No people are rule-followers; so [3] No people are machines. That syllogism has an undistributed middle term (as he says) and is invalid, which is easy to see from a diagram. But if the argument had been that all machines are rule-followers, then the syllogism would be valid. What Turing goes on to say seems to me to suggest that he thinks there are really two arguments here with different premisses to reject. The first goes like [1*] All machines are <implicit> rule-followers; [2*] No people are <implicit> rule-followers; so [3] No people are machines. Turing objects that we have no reason to think that [2*] is true. There might be a physical (?) law of behavior covering all people. The second goes like [1**] All machines are <explicit> rule-followers; [2**] No people are <explicit> rule-followers; so [3] No people are machines. I suppose that Turing rejects [1**]. But he's not super-clear about that as far as I can tell. Am I missing something? Does my reconstruction look right?

    • @keaswaran0
      @keaswaran0 22 วันที่ผ่านมา

      I definitely see the single-* version of your reconstruction as one thing going on in this paper. Several of Turing's discussions seem aimed at convincing us that there could be behavior that is in fact governed by a rule, even though it's practically impossible for anyone not involved in the design of that system to know what the rule is. I hadn't specifically thought about the double-** version of your reconstruction before. I'll have to look for signs of that next time I re-read this paper. I don't recall Turing talking much about machines that follow rules without explicitly doing so - but it does seem relevant to standard responses to the Lucas-Penrose argument, and might be relevant to Dreyfus's arguments about AI (that I haven't actually read the primary sources for yet).

  • @jonathanlivengood767
    @jonathanlivengood767 27 วันที่ผ่านมา

    At 0:27, you say that the machine described in Turing's 1936 work was the first abstract idea of a general purpose computer. But isn't Babbage's analytical engine (described in 1837) Turing-complete and hence general purpose in the same sense?

    • @keaswaran0
      @keaswaran0 24 วันที่ผ่านมา

      Probably the more precise thing I can say is that Turing's 1936 paper is the first one that explicitly considers the question of universality, and shows that there is a universal computer. I've heard that there might be some controversy about some details of the analytical engine, regarding whether it is truly universal as described, or if a slight modification is needed. But I'm fairly sure that one or more of Post, Gödel, or Church gave their definitions before Turing, which do turn out to be universal, so that Turing's innovation is stating and proving universality, rather than defining a universal system.

    • @jonathanlivengood767
      @jonathanlivengood767 24 วันที่ผ่านมา

      @@keaswaran0 That's helpful, thanks!

  • @rf7134
    @rf7134 27 วันที่ผ่านมา

    Really enjoyed they thank you

  • @flowplan925
    @flowplan925 หลายเดือนก่อน

    Thank you. Flow 444

  • @JLM1PB
    @JLM1PB หลายเดือนก่อน

    Thank you!!!!

  • @darrellee8194
    @darrellee8194 2 หลายเดือนก่อน

    19:28 Speaks to modern day social media. Please don't retweet or repeat things you don't know to be true.

  • @darrellee8194
    @darrellee8194 2 หลายเดือนก่อน

    Gracias. I believe you are a gentleman and a scholar. This video is my warrant.

  • @andrewdong3875
    @andrewdong3875 2 หลายเดือนก่อน

    Great paper & presentation. If the font size on your shared scree can be increased, that'll be very helpful.

  • @SeanAnthony-j7f
    @SeanAnthony-j7f 2 หลายเดือนก่อน

    Asamalaykum

  • @psicologiajoseh
    @psicologiajoseh 3 หลายเดือนก่อน

    AI is an emulation of language; it's not language (a biological instinct that came about through evolution). A computer can emulate gravity, but it won't tell you what gravity is (a change in the fabric of space-time). It's the same with “language models.”

    • @keaswaran0
      @keaswaran0 3 หลายเดือนก่อน

      This is one definition you could have. By this definition, it would be impossible for any artificial intelligence to use language, no matter how well it emulated brains. The Star Trek computer doesn't use language, and neither does Lieutenant Commander Data of the Starship Enterprise. It would also mean that God and angels, if such entities exist, by definition do not use language. They could all do things that are a lot like language, but it wouldn't be language. That is one definition, but I would prefer to have a more functional definition, that includes anything that functions exactly like language. I think with such a functional definition, there are still ways you could naturally define things so that what ChatGPT is doing isn't language - it doesn't initiate its own conversations, it doesn't have interests of its own that it tries to further by means of words and so on. I think it's more useful to make this sort of argument that whatever ChatGPT is doing, it isn't the same thing as human language, rather than just defining language so that even Lt. Cmdr. Data by definition isn't using language, but just doing something that sounds and acts exactly like language as far as any human is concerned.

    • @chomskyan4life
      @chomskyan4life 2 หลายเดือนก่อน

      @@keaswaran0 Functional definitions are pseudo-definitions at worst, teleology at best. Nature does not exist to serve any anthropocentric "function". This much was known to Plato, and Newton too seems to agree. This is also the distinction between "Science" and "Engineering".

    • @psicologiajoseh
      @psicologiajoseh 2 หลายเดือนก่อน

      @@keaswaran0 The topic of a definition that describes the essence of something vs a more functional definition is interesting. I would say that this problem can be solved in a more parsimonious way by assuming multiple forms of language. Perhaps we don’t have to settle for just one. In any case, my point is that if what an AI does is a form of language, it doesn’t logically follow that it is the same language generated by humans and therefore explains it.

    • @chomskyan4life
      @chomskyan4life 2 หลายเดือนก่อน

      @@psicologiajoseh All of this presumes that one has a coherent definition of "Language". If you have context-specific definitions, then you don't have a definition at all. You merely have context-specific re-descriptions of the phenomena. Description is not explanation.

    • @keaswaran0
      @keaswaran0 2 หลายเดือนก่อน

      @@chomskyan4life Nature in general doesn't serve an anthropocentric function. But biological features do serve evolved functions. To the extent that a system is evolved (like human language) or designed (like artificial intelligence) it can be very useful to think of that system in terms of its functions. Biologists are very interested both in shared features across organisms that reflect preservation of shared ancestry with different functions (like human hands and the front legs of horses) and shared features across organisms that reflect similar function shaping ancestrally distinct body parts (like all the different families of desert plants that have evolved spines out of different ancestral plant parts). To the extent that language is a biological feature that was the product of evolution, it is useful to think of it in functional terms.

  • @stevenhines5550
    @stevenhines5550 3 หลายเดือนก่อน

    Has there ever been a rejoinder to Chomsky's review published by Skinner's friends

    • @keaswaran0
      @keaswaran0 3 หลายเดือนก่อน

      I linked one such rejoinder in the video description (A re-appraisal of Chomsky's review, 50 years later (by a Skinner sympathizer): www.ncbi.nlm.nih.gov/pmc/articles/PMC2223153/) But there's also a very recent response that invokes Large Language Models: lingbuzz.net/lingbuzz/007180

  • @jidiplaygames1244
    @jidiplaygames1244 3 หลายเดือนก่อน

    thank you

  • @psicologiajoseh
    @psicologiajoseh 4 หลายเดือนก่อน

    I love this concept! Reading “together“ influential papers and academic texts. Fantastic!

  • @MoeAshraf-hx2pr
    @MoeAshraf-hx2pr 4 หลายเดือนก่อน

    Good shit

  • @vancleef7323
    @vancleef7323 6 หลายเดือนก่อน

    thank you for your dedication

  • @williampickering6405
    @williampickering6405 6 หลายเดือนก่อน

    Very helpful. Thanks a lot!

  • @darrellee8194
    @darrellee8194 7 หลายเดือนก่อน

    An intuitive notion amounts to this: We can see that the proposition is true because we can see and/or imagine any number of cases where the proposition holds, and on the other hand, we can't find or even imagine how a counter example could be possible. We have performed and unbounded inductive experiment in our imagination which tells use the proposition must necessarily be true. The best example I can think of is the transitivity of equivalence. I can find many case where it holds and can't imagine what it would mean for it not to hold. Ditto for the transitivity of containment for physical objects. If A is in B and B is in C then A is in C. If you want to call such intuitions a priori go ahead, but I don't see it, and I don't see what it buys you labelling anything as a priori, since anything a priori must also necessarily be demonstrable. What would be the content of any a priori truth, if it had no a posteriori consequences. 14:54

  • @darrellee8194
    @darrellee8194 7 หลายเดือนก่อน

    We do not need to give primacy to either. We can use both in equal measure, or whatever proportion seems appropriate to the matter at hand. 2:40

  • @darrellee8194
    @darrellee8194 7 หลายเดือนก่อน

    A proper name is simply a label for a specific object (as per Mill) But it only works that way for people already acquainted with the object. For everyone else it has to bring to mind a description which is in whole or in part uniquely identifies the entity that the user of the name would like to pick out (It fails if it picks out too many or none at all). Once the listener is acquainted with the object the description (which may not have been accurate) is no longer necessary to identify the individual.

  • @darrellee8194
    @darrellee8194 7 หลายเดือนก่อน

    A proper name is understood to pick out a particular object. A proper name is a relation between a speaker and the object picked out An object is a particular entity with extension and location. Historical figures are not objects that we can point to, at best we could maybe point at their bones, but likely not even that. They are hardly more substantial than a fictitious characters. Some of them are in fact fictitious characters. They may once have been real persons, but now the name refers to a mythic figure, and not a person. Everything we know about Moses may have no factual basis. So the word Moses refers to the common cultural conception of Mose as presented in the Bible and in popular culture (for me, Charlton Heston is Moses). The word may once have been a name that referred to a living person, but now that is just another quality of the word and not its referent. I might go so far as to say that only persons acquainted with the Socrates use the word "Socrates" as a name, and for the rest of us it refers to some shadow of *Socrates*. It's the difference between knowing *Socrates* and knowing of "Socrates". The difference between a person and an idea.

  • @henrydeutsch5130
    @henrydeutsch5130 8 หลายเดือนก่อน

    This helped me a lot for my philosophy class, thank you

  • @BeelySalasBlair-uy5wn
    @BeelySalasBlair-uy5wn 9 หลายเดือนก่อน

    Thank you.

  • @dubbelkastrull
    @dubbelkastrull 9 หลายเดือนก่อน

    47:11 verification 1:23:06 bookmark

  • @cheez1903
    @cheez1903 10 หลายเดือนก่อน

    Very well made video, well explained

  • @ethanjkemp
    @ethanjkemp 11 หลายเดือนก่อน

    Nice video

  • @chronicskeptic
    @chronicskeptic ปีที่แล้ว

    thank you very much for the reading and giving brief explanations.

  • @sophiajahan5015
    @sophiajahan5015 ปีที่แล้ว

    appreciate this very good introduction to Turing's work ty

  • @simplacaca
    @simplacaca ปีที่แล้ว

    59:12 Lecture II

  • @francescamarmol4360
    @francescamarmol4360 ปีที่แล้ว

    King <3

  • @ludloft3653
    @ludloft3653 ปีที่แล้ว

    Not now baby, i'm watching the cognitive revolution happens

  • @VanityPlatesX
    @VanityPlatesX ปีที่แล้ว

    Thank you so much for making this

  • @miguelrios9078
    @miguelrios9078 ปีที่แล้ว

    you really helped explain a few of the confusing bits thanks

  • @siviwejavu8827
    @siviwejavu8827 ปีที่แล้ว

    Just found your channel. Thank you so much for this!

  • @sebastiandoyle6299
    @sebastiandoyle6299 ปีที่แล้ว

    Thanks so much awesome format for a video! 😁

  • @andrewdong3875
    @andrewdong3875 ปีที่แล้ว

    Thanks so much for sharing Kenny. Enlarging the text size might be a good idea for future, which will make it easier for viewers to read off the screen.

  • @brigettepenrod
    @brigettepenrod ปีที่แล้ว

    one of the best philosophy resources I have found. Thank you!

  • @neeldatta3170
    @neeldatta3170 ปีที่แล้ว

    38:10 ayoooo ... what the hell was Grace talking about hahahahaha

  • @DarrenMcStravick
    @DarrenMcStravick ปีที่แล้ว

    Will you be coming back anytime soon to do more readings? Would love to hear you analyse some of the recent literature on hyperintensionality, grounding and essence.

    • @keaswaran0
      @keaswaran0 ปีที่แล้ว

      I'm doing a few more now. I mainly do them for classes I'm teaching, so I'm likely to do a few more that are relevant for an upcoming class I'll be teaching on introductory philosophy of language, with an eye to what Large Language Models (like ChatGPT) tell us about theories of language. It's possible that some papers on hyperintensionality might be relevant to this, but I expect that most of what I do will be a bit older.

  • @anujketkar3785
    @anujketkar3785 ปีที่แล้ว

    I totally fell for the cold thing

  • @Acez-lf4qk
    @Acez-lf4qk ปีที่แล้ว

    What if I said the following: If one of you completes the quest i'll give you a thousand euro, if no one completes the quest you all get a piece of candy. - Afterwards, one person succeeds in te quest, but I dont give him the cash price and I dont give anyone the piece of candy either- How can this be true?

    • @keaswaran0
      @keaswaran0 ปีที่แล้ว

      If I understand your scenario right, I think that what you said would be false if you don't give the prize or the candy.

    • @Acez-lf4qk
      @Acez-lf4qk ปีที่แล้ว

      @@keaswaran0 I have just sort of solved the case (I think), because on the truth table p->q v ~p -> r , is always true. So the literal/conventional meaning is true. But it can be argued to be misleading I think

    • @Acez-lf4qk
      @Acez-lf4qk ปีที่แล้ว

      @@keaswaran0 Because the Conversational implicature would probably contain, the actual promise of giving the rewards. And the speaker therefore does not abide by the conversational maxims

    • @keaswaran0
      @keaswaran0 ปีที่แล้ว

      @@Acez-lf4qk I was interpreting the claim as (p->q)&(~p->r), with an "and" rather than an "or". There would definitely be a conversational implicature of the "and" if you said the "or", but if you actually said the "and" (or said both sentences separately, which I think should be the same as saying them with an "and") then it would just be literally false if you didn't do the thing that you said you would in that case.

  • @summiyaambreen4886
    @summiyaambreen4886 ปีที่แล้ว

    you skip so many points and you are like doing reading. Try to add your points

  • @iRosati
    @iRosati ปีที่แล้ว

    thank you! this is the reading for my literary theory seminar and it is dense

  • @sergesolkatt
    @sergesolkatt ปีที่แล้ว

    😮 You read so many great books!

  • @divinaj102
    @divinaj102 2 ปีที่แล้ว

    dude you're like a philosophy Adam Driver!!! Great video

  • @alexc.1661
    @alexc.1661 2 ปีที่แล้ว

    Hey Kenny! Just wanted to say a huge thank you for this video! It is a great format -- reading and explanation. I absolutely love it. I was assigned this paper for a philosophy class. Now, thanks to you, I understand what's going on there.

    • @keaswaran0
      @keaswaran0 2 ปีที่แล้ว

      Always glad to be of help!

  • @nothingtoseehere2679
    @nothingtoseehere2679 2 ปีที่แล้ว

    We are reading this paper in my philosophy of human communications class and I was so confused. Your explanations were very helpful! Thank you!

  • @jorgemittelmann620
    @jorgemittelmann620 2 ปีที่แล้ว

    This is extraordinarily helpful!! Keep up with the wonderful job !! ❤

  • @enter-galactic
    @enter-galactic 2 ปีที่แล้ว

    thank you! this is quite helpful

  • @vozduka7557
    @vozduka7557 2 ปีที่แล้ว

    nice video

  • @7scientist
    @7scientist 2 ปีที่แล้ว

    Bro, he was born Hilaire in France.