最新の記事
4,485 件並び順
1:06:17EN
Lex Fridman· 2018年12月28日ポッドキャスト · 2 人Libratus Beat the World's Best Poker Players Without a Neural Networkゲスト Tuomas Sandholm · ホスト Lex FridmanTuomas Sandholm tells Lex Fridman how game theory, abstraction, and search — not deep learning — took heads-up no-limit Texas Hold'em, and why the harder work is deploying that toolkit outside the casino.
1:19:59ENLex Fridman· 2018年12月23日ポッドキャスト · 2 人Schmidhuber’s bet: true meta-learning rewrites the learner, not the last layerゲスト Juergen Schmidhuber · ホスト Lex FridmanJürgen Schmidhuber tells Lex Fridman how Gödel machines, compression-as-science, Power Play, LSTMs, and world models all descend from a teenage plan to multiply one person’s curiosity into a better physicist than he could ever be.
42:45ENLex Fridman· 2018年12月16日ポッドキャスト · 2 人A one-legged robot learned a backflip from "this is better"ゲスト Pieter Abbeel · ホスト Lex FridmanPieter Abbeel tells Lex Fridman why preference comparisons, self-play, ten-minute demos, and messy ensembles of simulators are the practical path through deep reinforcement learning.
1:26:21ENLex Fridman· 2018年12月9日ポッドキャスト · 2 人The Machine Should Never Treat Its Objective as Gospelゲスト Stuart Russell · ホスト Lex FridmanStuart Russell talks with Lex Fridman about metareasoning, self-driving reliability, and why uncertainty about human goals is the core of the control problem.
1:03:45EN
Jane Street· 2018年12月7日Jane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.
33:07ENLex Fridman· 2018年12月4日ポッドキャスト · 2 人They Ran an Extension Cord Next Door and Invented Googleゲスト Eric Schmidt · ホスト Lex FridmanEric Schmidt tells Lex Fridman that Larry and Sergey never held the entrepreneurship meeting: they had a better algorithm, too little power in the dorm, and a $100,000 check.
15:50EN
3Blue1Brown· 2018年12月2日Why a Sphere’s Surface Area Is Four Times Its ShadowGrant Sanderson · 3Blue1BrownTwo geometric routes from a sphere to circles, and a generalization to convex shapes.
1:20:09ENLex Fridman· 2018年11月29日ポッドキャスト · 2 人Stack Overflow Was Never Designed for Beginnersゲスト Jeff Atwood · ホスト Lex FridmanOn Stack Overflow’s tenth birthday, Jeff Atwood talks with Lex Fridman about puzzles, leadership, Discourse, and why a software team’s health is how fast it can change one word.
1:37:30EN
Google DeepMind· 2018年11月23日Volodymyr Mnih: A Tour of Deep Reinforcement Learning AgentsVolodymyr Mnih · DeepMindFrom DQN and replay to A3C and IMPALA, a 2018 lecture traces the design choices behind deep RL agents.
1:26:44ENLex Fridman· 2018年11月22日ポッドキャスト · 2 人He raised Python like a child, then set it freeゲスト Guido van Rossum · ホスト Lex FridmanIn a 2018 conversation with Lex Fridman, Guido van Rossum traces Python from electronics kits and Conway's Game of Life to the Thursday morning he resigned as benevolent dictator for life.
54:03ENLex Fridman· 2018年11月16日ポッドキャスト · 2 人The Hardest Part of Learning Was Left Out of the Textbooksゲスト Vladimir Vapnik · ホスト Lex FridmanVladimir Vapnik tells Lex Fridman why intelligence is the work of inventing predicates that shrink the admissible set of functions, not of fitting a rule to a mountain of data.
1:06:51ENJane Street· 2018年10月24日Marius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.
42:18ENLex Fridman· 2018年10月20日ポッドキャスト · 2 人An Adult Can Change Last Year's Mind. A Network Still Cannot.ゲスト Yoshua Bengio · ホスト Lex FridmanYoshua Bengio tells Lex Fridman that the missing pieces of deep learning sit in credit assignment, training objectives, and a kind of compositionality borrowed from classical AI — not in ten thousand layers.
37:53ENLex Fridman· 2018年10月17日ポッドキャスト · 2 人Steven Pinker: Intelligence Is Not a Will to Powerゲスト Steven Pinker · ホスト Lex FridmanThe Harvard psychologist tells Lex Fridman why nuke analogies, paperclip stories, and AI-takeover fears mix up problem-solving with domination.
57:54ENLex Fridman· 2018年9月1日ポッドキャスト · 2 人A 2040 Siri That Passes Every Turing Test Still Wouldn't Be Consciousゲスト Christof Koch · ホスト Lex FridmanNeuroscientist Christof Koch tells Lex Fridman why intelligence is function, consciousness is being, and a perfect brain simulation has no more inner life than a laptop simulating a black hole.
1:22:58ENLex Fridman· 2018年8月26日ポッドキャスト · 2 人If NASA finds nothing on Mars, Max Tegmark cheersゲスト Max Tegmark · ホスト Lex FridmanThe MIT physicist behind Life 3.0 tells Lex Fridman why we may be the only advanced life in the observable universe, and why that makes AGI alignment a cosmic responsibility rather than a science-fiction subplot.
1:14:23ENJane Street· 2018年8月24日Cristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.
14:26EN3Blue1Brown· 2018年5月19日Derivatives as Transformations and Fixed-Point StabilityGrant SandersonA local scaling view explains a continued fraction and its two fixed points.
1:02:34ENJane Street· 2018年5月10日Andy Ray on Designing and Running OCaml on FPGAsAndy Ray · Jane StreetHardCaml turns OCaml into a hardware design language. Andy Ray explains FPGA fundamentals, simulation and verification, then demonstrates an OCaml software stack running on a soft CPU.
1:03ENLex Fridman· 2018年4月21日ポッドキャスト · 2 人Geoffrey Hinton’s 2016 Vision for Document Understandingゲスト Geoffrey Hinton · ホスト Lex FridmanA historical prediction about translation and meaning-based search.
25:26EN3Blue1Brown· 2018年4月20日A Geometric Proof of the Wallis Product for πRoots of unity, distances on a circle and a careful limit explain an infinite product.
1:14:37ENJane Street· 2018年4月5日Adding an Effect System to OCamlLeo White · Jane StreetA prototype brings algebraic effects into OCaml’s type system and explores how to track exceptions, I/O and locally mutable state.
1:08:43ENJane Street· 2018年3月19日Ron Minsky on Types and Why They Matter in SoftwareYaron Minsky · Jane StreetType systems can make programs faster, catch mistakes and guide large refactorings, but their value depends on the language and the work. Ron Minsky explains the trade-offs through practical examples.
39:42ENGoogle DeepMind· 2018年3月7日Shane Legg on Measuring Machine IntelligenceShane Legg · Google DeepMindA 2010 proposal for defining general intelligence and approximating it through tests across many environments.もっと見る4,485 件中 24 件を表示