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4,484 件
並び順
1:43:10EN
Lex Fridman· 2020年7月18日ポッドキャスト · 2 人Ken Thompson's Wife Left for Three Weeks. He Wrote Unix.ゲスト Brian Kernighan · ホスト Lex FridmanBrian Kernighan walks Lex Fridman through Bell Labs, C, AWK, AMPL, and a lifetime of tools that millions of people still run — including all of his mistakes.オープンソースとコミュニティProgramming LanguagesOpen-source ecosystems+2
スライド 4 枚10:32EN
Jane Street· 2020年7月17日Real Numbers: Expected Time Between Exams and a Half-Court Shot ChallengeSawyer · Jane StreetSawyer solves an exam-scheduling problem in several ways, then asks how many basketball attempts it takes to make one shot or two in a row.MathematicsEducation
1:37:31EN
Lex Fridman· 2020年7月14日ポッドキャスト · 2 人The Robot That Brought the Beer Was Being Teleoperatedゲスト Sergey Levine · ホスト Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.モデルと学習RoboticsReinforcement Learning+3
スライド 6 枚6:04EN
Jane Street· 2020年7月14日Finals Week and the Expected Number of Snowboards UsedSawyer · Jane StreetSawyer poses a new exam-scheduling puzzle and uses indicator variables in two ways to solve the previous snowboard problem.Mathematics
スライド 2 枚6:16EN
Jane Street· 2020年7月10日Indicator Variables: Marching Bands and SnowboardsSawyer · Jane StreetSawyer uses linearity of expectation to count in-step rows, then poses a six-snowboard challenge.MathematicsEducation
1:09:14EN
Lex Fridman· 2020年7月8日ポッドキャスト · 2 人Suffering Is a State You'd Rather Not Be In — Peter Singer on Animals, Robots, and Usゲスト Peter Singer · ホスト Lex FridmanOn Lex Fridman's podcast, the Princeton bioethicist defines suffering, extends it from factory farms to possible machine minds, and still puts extreme poverty first.PhilosophyPhilosophy of MindConsciousness & Intelligence+3
スライド 4 枚9:40EN
Jane Street· 2020年7月7日Real Numbers: A Marching Band Challenge, Expected Damage, and Bayes’ RuleSawyer · Jane StreetSawyer introduces a marching-band expected-value puzzle and uses linearity and Bayesian updating to solve a monster-attack problem.MathematicsEducation
スライド 5 枚10:08EN
Jane Street· 2020年7月3日Expected Damage and a Golden-Ratio Window PuzzleSawyer · Jane StreetSawyer introduces expected value with an unknown video-game monster, then uses geometry to solve a painting-through-a-window problem.MathematicsEducation
2:00:32EN
Lex Fridman· 2020年7月3日ポッドキャスト · 2 人Slow Synapses Grow Fast Learners — Warmth Is the Harder Problemゲスト Matt Botvinick · ホスト Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.モデルと学習Neuroscience & AIReinforcement Learning+3
45:31EN
Lex Fridman· 2020年7月1日ポッドキャストYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awarenessホスト Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.PhilosophyNeuroscience & AI機械学習の基礎+3
スライド 6 枚7:55EN
Jane Street· 2020年6月30日The Art Thief’s Window and a Toy Boat’s Return JourneySawyer · Jane StreetSawyer poses a geometric window puzzle and solves the previous episode’s river-crossing problem in two ways.MathematicsEducation
1:02:14EN
Lex Fridman· 2020年6月30日ポッドキャスト · 2 人The 28-year wait: Robert Langer on rejection, polymers, and a thousand studentsゲスト Robert Langer · ホスト Lex FridmanThe MIT bioengineer talks with Lex Fridman about drug delivery, tissue engineering, patents, and the long path from a Folkman hypothesis to Avastin.企業と戦略AI in healthcareAI for science+3
1:49:51EN
Lex Fridman· 2020年6月27日ポッドキャスト · 2 人The Idea Once Called a Devolution Now Powers Almost Every New Chipゲスト David Patterson · ホスト Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.インフラとデプロイOpen-source ecosystemsBenchmarks+1
スライド 3 枚5:38EN
Jane Street· 2020年6月26日Wavey’s Return: Solving a River-Crossing PuzzleSawyer · Jane StreetSawyer solves the first toy-boat crossing with a 5:3 speed ratio, then asks how the answer changes when the return journey starts 60 meters downstream.Mathematics
スライド 3 枚6:37EN
Jane Street· 2020年6月23日Crossing the River: A Toy Boat Puzzle and a Snow-Cone SolutionSawyer · Jane StreetA toy boat drifts downstream in a steady current. Sawyer poses a navigation puzzle and solves the previous episode’s cone-and-hemisphere problem.Mathematics
4:08:58EN
Lex Fridman· 2020年6月22日ポッドキャスト · 2 人The Man Who Named AGI Wants Superintelligence Raised on Compassionゲスト Ben Goertzel · ホスト Lex FridmanLex Fridman talks with Ben Goertzel for four hours about OpenCog, Sophia, SingularityNET, and why a bigger neural net is not a mind.エージェントAGI(汎用人工知能)AI research+3
1:27:29EN
Lex Fridman· 2020年6月20日ポッドキャスト · 2 人Resistance Is How You Know the Work Mattersゲスト Steven Pressfield · ホスト Lex FridmanSteven Pressfield tells Lex Fridman why he writes about Spartans and Alexander — and why the battle that counts is the one against his own ego.CreativityPhilosophyStorytelling+3
スライド 2 枚3:35EN
Jane Street· 2020年6月19日Snow Cones and Spheres: A Volume Solution and a New Geometry PuzzleSawyer · Jane StreetSawyer derives the height of a cone with the same volume as a hemisphere, then asks how to reshape the ice with minimal movement.Mathematics
スライド 3 枚5:39EN
Jane Street· 2020年6月16日A Snow Cone Geometry Puzzle and a Piggy Bank ProbabilitySawyer · Jane StreetSawyer poses a cone-design challenge and solves a conditional probability problem in two ways.MathematicsEducation
3:00:18EN
Lex Fridman· 2020年6月13日ポッドキャスト · 2 人Only a Simulation Can Be Consciousゲスト Joscha Bach · ホスト 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.モデルと学習Consciousness & IntelligencePhilosophy of Mind+3
スライド7:03EN
Jane Street· 2020年6月12日Grandma’s Secret College Fund: A Bayes’ Theorem PuzzleSawyer · Jane StreetA random $20 bill reveals information about a hidden deposit. Sawyer poses the new puzzle and solves a DMV probability problem three ways.Mathematics
スライド 6 枚7:23EN
Jane Street· 2020年6月9日Bayes' Theorem and a Driver's Test Probability PuzzleSawyer · Jane StreetSawyer derives Bayes' theorem, poses a question about test-takers who studied, and solves an earlier card-game probability puzzle.MathematicsEducation
スライド 3 枚8:03EN
Jane Street· 2020年6月6日Real Numbers: A Taxi Challenge and Two Ways to Calculate a Sleep ProbabilitySawyer · Jane StreetSawyer poses a consecutive-taxi puzzle and solves a five-night dog-sitting problem with a probability table and a counting argument.MathematicsEducation
スライド 4 枚6:50EN
Jane Street· 2020年6月6日The Perils of Dogsitting: A Probability Warm-UpSawyer · Jane StreetSawyer introduces a five-night dogsitting puzzle and reviews independence, overlapping events and complements with coins and dice.MathematicsEducation
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