최신 글
4,485개정렬
42:45EN
Lex Fridman· 2018년 12월 16일팟캐스트 · 2명A one-legged robot learned a backflip from "this is better"게스트 Pieter Abbeel · 진행자 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· 2018년 12월 9일팟캐스트 · 2명The Machine Should Never Treat Its Objective as Gospel게스트 Stuart Russell · 진행자 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· 2018년 12월 7일Jane 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· 2018년 12월 4일팟캐스트 · 2명They Ran an Extension Cord Next Door and Invented Google게스트 Eric Schmidt · 진행자 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· 2018년 12월 2일Why 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· 2018년 11월 29일팟캐스트 · 2명Stack Overflow Was Never Designed for Beginners게스트 Jeff Atwood · 진행자 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· 2018년 11월 23일Volodymyr 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· 2018년 11월 22일팟캐스트 · 2명He raised Python like a child, then set it free게스트 Guido van Rossum · 진행자 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· 2018년 11월 16일팟캐스트 · 2명The Hardest Part of Learning Was Left Out of the Textbooks게스트 Vladimir Vapnik · 진행자 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· 2018년 10월 24일Marius 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· 2018년 10월 20일팟캐스트 · 2명An Adult Can Change Last Year's Mind. A Network Still Cannot.게스트 Yoshua Bengio · 진행자 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· 2018년 10월 17일팟캐스트 · 2명Steven Pinker: Intelligence Is Not a Will to Power게스트 Steven Pinker · 진행자 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· 2018년 9월 1일팟캐스트 · 2명A 2040 Siri That Passes Every Turing Test Still Wouldn't Be Conscious게스트 Christof Koch · 진행자 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· 2018년 8월 26일팟캐스트 · 2명If NASA finds nothing on Mars, Max Tegmark cheers게스트 Max Tegmark · 진행자 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· 2018년 8월 24일Cristina 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· 2018년 5월 19일Derivatives as Transformations and Fixed-Point StabilityGrant SandersonA local scaling view explains a continued fraction and its two fixed points.
1:02:34ENJane Street· 2018년 5월 10일Andy 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· 2018년 4월 21일팟캐스트 · 2명Geoffrey Hinton’s 2016 Vision for Document Understanding게스트 Geoffrey Hinton · 진행자 Lex FridmanA historical prediction about translation and meaning-based search.
25:26EN3Blue1Brown· 2018년 4월 20일A 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· 2018년 4월 5일Adding 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· 2018년 3월 19일Ron 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· 2018년 3월 7일Shane Legg on Measuring Machine IntelligenceShane Legg · Google DeepMindA 2010 proposal for defining general intelligence and approximating it through tests across many environments.
1:10:18ENJane Street· 2018년 2월 28일Shriram Krishnamurthi on Designing Computing Curricula for Real ClassroomsShriram Krishnamurthi · Brown UniversityThe Bootstrap project treats curriculum design as an engineering problem: start with goals and constraints, then support teachers and measure learning.
45:48EN
GOTO Conferences· 2018년 2월 21일Kotlin Multiplatform in 2017: Shared Logic Across TiersDmitry JemerovDmitry Jemerov explains the early expect/actual model, JavaScript integration and native plans.더 보기4,485개 중 24개 표시