필터 결과
32개정렬
1:50:09EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 27일팟캐스트Nine Hundred Occupations, Twenty Years, and Still No AI Revolution진행자 Nathan LabenzEconomist Robin Hanson tells Cognitive Revolution why each new AI demo looks like the last one, and why wages and headcount are the tests that matter.
1:58:43ENCognitive Revolution "How AI Changes Everything"· 2024년 2월 7일팟캐스트A Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.진행자 Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.
1:25:50ENCognitive Revolution "How AI Changes Everything"· 2023년 4월 18일팟캐스트Prompt Engineering Became Programming, and Riley Goodside Is Fine With That진행자 Nathan LabenzScale AI’s first staff prompt engineer on tool use, fine-tuning without amnesia, generate-then-rank, and why the 2023 job-of-the-future story never arrived.
2:31:57EN
Lex Fridman· 2021년 9월 20일팟캐스트 · 2명Jay McClelland on How Thought Emerges From Neural Networks게스트 Jay McClelland · 진행자 Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.
2:52:56ENLex Fridman· 2021년 9월 15일팟캐스트 · 2명Douglas Lenat's 37-Year Bet That Common Sense Can Be Written Down게스트 Douglas Lenat · 진행자 Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.
2:24:52ENLex Fridman· 2021년 9월 3일팟캐스트 · 2명Judge a robot by the environment it forces to change, not by the demo게스트 Rodney Brooks · 진행자 Lex FridmanRodney Brooks tells Lex Fridman why faces are promises, why computation is an overworked metaphor, and why robot companies die on price, expectation, and habit.
2:02:45ENLex Fridman· 2020년 12월 26일팟캐스트Steal the Code: You Get Zero Points for Making the Algorithm Run진행자 Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.
2:01:07ENLex Fridman· 2020년 12월 12일팟캐스트 · 2명Michael Littman isn’t waiting for a runaway god. He’s watching us.게스트 Michael Littman · 진행자 Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.
1:56:31ENLex Fridman· 2020년 10월 12일팟캐스트 · 2명A Blank Wall Is Not More Conscious Than a Person게스트 Scott Aaronson · 진행자 Lex FridmanScott Aaronson walks Lex Fridman through integrated information theory, Penrose’s uncomputable mind, GPT-3, P versus NP, and why silent support for open discourse has to get louder.
3:00:18ENLex Fridman· 2020년 6월 13일팟캐스트 · 2명Only a Simulation Can Be Conscious게스트 Joscha Bach · 진행자 Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.
1:48:01ENLex Fridman· 2020년 4월 3일팟캐스트 · 2명David Silver: AlphaGo Won by Taking Human Knowledge Out게스트 David Silver · 진행자 Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.
1:45:56ENLex Fridman· 2019년 12월 30일팟캐스트 · 2명Point eight is enough: Donald Knuth on algorithms, TeX, and a life in one chair게스트 Donald Knuth · 진행자 Lex FridmanLex Fridman visits Donald Knuth at home for a conversation about the IBM 650, geek brains, literate programming, The Art of Computer Programming, TeX, P versus NP, and a happiness budget of 80 percent.
1:52:40ENLex Fridman· 2019년 12월 28일팟캐스트 · 2명Without Analogies, There Can Be No Concepts게스트 Melanie Mitchell · 진행자 Lex FridmanMelanie Mitchell talks with Lex Fridman about why analogy sits at the core of thought, why scaled-up learning still fails at common sense, and why she thinks human-level AI is more than a century away.
14:55ENLex Fridman· 2019년 10월 29일팟캐스트 · 2명Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions게스트 Garry Kasparov · 진행자 Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
55:24ENLex Fridman· 2019년 10월 27일팟캐스트 · 2명The Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putin게스트 Garry Kasparov · 진행자 Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.
1:00:06ENLex Fridman· 2019년 8월 23일팟캐스트 · 2명Pamela McCorduck: AI Began With the Ancient Wish to Forge the Gods게스트 Pamela McCorduck · 진행자 Lex FridmanThe novelist who wrote the first popular history of artificial intelligence talks with Lex Fridman about Dartmouth, AI winters, and why existential panic looks like the male gaze.
44:48ENLex Fridman· 2019년 7월 22일팟캐스트 · 2명Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Nap게스트 Chris Urmson · 진행자 Lex FridmanLex Fridman talks with Aurora CEO Chris Urmson about the DARPA races, why lidar is a tool rather than a crutch, and why Level 2 economics will not grow into true autonomy.
1:26:27ENLex Fridman· 2019년 7월 15일팟캐스트 · 2명Kai-Fu Lee: Originality Pride Is a Handcuff on What a Company Can Become게스트 Kai-Fu Lee · 진행자 Lex FridmanIn a 2019 conversation with Lex Fridman, the investor and former Google China president explains why China's copycat years were a training ground, why data often beats clever algorithms, and what facing death did to his idea of work.
1:10:58ENLex Fridman· 2019년 6월 3일팟캐스트 · 2명The Hadoop Lesson That Made Google Give TensorFlow Away게스트 Rajat Monga · 진행자 Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.
46:25ENLex Fridman· 2019년 1월 17일팟캐스트Deep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Through진행자 Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
1:25:16ENLex Fridman팟캐스트From Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networks진행자 Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.
12:16ENLex Fridman팟캐스트Rule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experiment진행자 Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.
1:55:04ENLex Fridman팟캐스트 · 2명Mining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Do게스트 Stephen Wolfram · 진행자 Lex FridmanIn a talk for MIT's AGI course, Stephen Wolfram connects Wolfram Alpha, simple programs, computational irreducibility and the problem of telling machines what humans want.
1:03:25ENLex Fridman팟캐스트Theano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math진행자 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.더 보기32개 중 24개 표시