Latest articles
4,485 articlesSort
1:37:30EN
Google DeepMind· Nov 23, 2018Volodymyr 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.
1:26:44EN
Lex Fridman· Nov 22, 2018Podcast · 2 speakersHe raised Python like a child, then set it freeGuest Guido van Rossum · Host 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· Nov 16, 2018Podcast · 2 speakersThe Hardest Part of Learning Was Left Out of the TextbooksGuest Vladimir Vapnik · Host 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.
1:06:51EN
Jane Street· Oct 24, 2018Marius 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· Oct 20, 2018Podcast · 2 speakersAn Adult Can Change Last Year's Mind. A Network Still Cannot.Guest Yoshua Bengio · Host 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· Oct 17, 2018Podcast · 2 speakersSteven Pinker: Intelligence Is Not a Will to PowerGuest Steven Pinker · Host 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· Sep 1, 2018Podcast · 2 speakersA 2040 Siri That Passes Every Turing Test Still Wouldn't Be ConsciousGuest Christof Koch · Host 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· Aug 26, 2018Podcast · 2 speakersIf NASA finds nothing on Mars, Max Tegmark cheersGuest Max Tegmark · Host 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· Aug 24, 2018Cristina 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.
14:26EN
3Blue1Brown· May 19, 2018Derivatives as Transformations and Fixed-Point StabilityGrant SandersonA local scaling view explains a continued fraction and its two fixed points.
1:02:34ENJane Street· May 10, 2018Andy 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· Apr 21, 2018Podcast · 2 speakersGeoffrey Hinton’s 2016 Vision for Document UnderstandingGuest Geoffrey Hinton · Host Lex FridmanA historical prediction about translation and meaning-based search.
25:26EN3Blue1Brown· Apr 20, 2018A 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· Apr 5, 2018Adding 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· Mar 19, 2018Ron 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· Mar 7, 2018Shane 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· Feb 28, 2018Shriram 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· Feb 21, 2018Kotlin Multiplatform in 2017: Shared Logic Across TiersDmitry JemerovDmitry Jemerov explains the early expect/actual model, JavaScript integration and native plans.
1:06:49ENJane Street· Jan 30, 2018Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.
56:12ENJane Street· Jan 16, 2018Echoes of Fourier: From Sound Waves to Fast ConvolutionChristopher HardinA practical introduction to Fourier transforms, convolution, and the mathematics of placing a recording in real or imagined acoustic spaces.
1:00:38ENLex Fridman· Dec 6, 2017PodcastThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle SafetyHost Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.
56:06ENJane Street· Dec 4, 2017How Jane Street Reviews Code with IronIan Henry · Jane StreetJane Street's internal review tool tracks what each reviewer has actually read, keeps feedback in the code, and enforces review obligations before release.
1:13:25ENJane Street· Nov 27, 2017Nate Foster: Verifying Programmable Network Data PlanesNate Foster, Yaron Minsky · Cornell UniversityHow p4v applies program verification to packet-processing code, and why its conclusions depend on control-plane assumptions.
42:07ENGOTO Conferences· Nov 7, 2017Home Automation with Asynchronous MicroservicesFred GeorgeFred George walks through a 2017 experiment with devices, events and small services.Load moreShowing 24 of 4,485