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4,483 件
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3:56:24EN
Lex Fridman· 2020年9月8日ポッドキャスト · 2 人The Tic-Tac Knew We Were Thereゲスト David Fravor · ホスト Lex FridmanNavy commander David Fravor tells Lex Fridman what four Super Hornet aircrew saw off the USS Nimitz in 2004, why he does not buy a secret human aircraft, and how an unexplained object never made anyone's to-do list.Decision MakingFirst Principles
3:01:07EN
Lex Fridman· 2020年9月5日ポッドキャスト · 2 人Loneliness Has No Clinic. Eugenia Kuyda Built an AI Friend Anywayゲスト Eugenia Kuyda · ホスト Lex FridmanThe Replika co-founder talks with Lex Fridman about grief, conversation, and why memory—not a clever reply—is the real limit of AI companionship.プロダクトと UXPersonal agentsHuman-AI Collaboration+3
2:34:20EN
Lex Fridman· 2020年8月30日ポッドキャスト · 2 人Intelligence Is How Efficiently You Acquire Skills You Were Not Prepared Forゲスト François Chollet · ホスト Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.評価とオブザーバビリティBenchmarksAI research+3
1:41:24EN
Lex Fridman· 2020年8月26日ポッドキャスト · 2 人A child can lose half a brain. The rest will rewire around the jobゲスト David Eagleman · ホスト Lex FridmanNeuroscientist David Eagleman tells Lex Fridman why the human brain is not hardware running software, but a livewired system that never stops physically reshaping itself.Neuroscience & AIBrain-Computer InterfacesPhilosophy of Mind+2
2:08:26EN
Lex Fridman· 2020年8月23日ポッドキャスト · 2 人Satisfying Lectures Don't Stick: Grant Sanderson on Feynman, Fear, and Hitting Publishゲスト Grant Sanderson · ホスト Lex FridmanThe 3Blue1Brown creator talks with Lex Fridman about why the nicest explanations can fail, why he envies Bell Labs, and why the experts most qualified to teach are the ones least willing to post.Science CommunicationNeural NetworksMathematics+3
2:56:24EN
Lex Fridman· 2020年8月20日ポッドキャスト · 2 人It Is Knowing We Will Die That Makes Us Humanゲスト Sheldon Solomon · ホスト Lex FridmanSheldon Solomon tells Lex Fridman how death anxiety, from an eight-year-old's stamp collection to 28-millisecond lab primes, quietly runs politics, religion, and everyday life.Philosophy of MindPolitical PhilosophyPhilosophy+1
1:41:35EN
Lex Fridman· 2020年8月16日ポッドキャスト · 2 人The Smallest Lights: Sara Seager on Finding Life Beyond the Sunゲスト Sara Seager · ホスト Lex FridmanThe MIT planetary scientist talks with Lex Fridman about exoplanets, biosignature gases, a flower-shaped starshade, and the grief that sent her looking for another Earth.AstrobiologyScience Communication
2:10:06EN
Lex Fridman· 2020年8月14日ポッドキャスト · 2 人You Might Have to Understand the World to Understand the Letter Aゲスト Dileep George · ホスト Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.モデルと学習Neuroscience & AIWorld models+3
2:48:46EN
Lex Fridman· 2020年8月9日ポッドキャスト · 2 人Let Physics Walk: Russ Tedrake on Underactuated Robots, Contact, and Barefoot Commutesゲスト Russ Tedrake · ホスト Lex FridmanMIT’s Russ Tedrake talks with Lex Fridman about gravity-powered walkers, a dead trout that swims upstream, why contact still breaks classical control, and what the DARPA Robotics Challenge taught him about testing.RoboticsFirst PrinciplesOpen-source ecosystems+3
2:29:24EN
Lex Fridman· 2020年7月31日ポッドキャスト · 2 人We Are the Descendants of the First Digital Computerゲスト Manolis Kellis · ホスト Lex FridmanMIT computational biologist Manolis Kellis tells Lex Fridman why life is digital, why any two humans are 99.9 percent identical, and what evolutionary signatures reveal inside SARS-CoV-2.Computational BiologyScience CommunicationAI for science+3
1:34:10EN
All-In Podcast· 2020年7月31日ポッドキャスト · 4 人All-In E6: Antitrust, Startup Acquisitions and Platform Speechホスト Jason Calacanis, Chamath Palihapitiya, David Sacks, David FriedbergA July 2020 debate on Big Tech hearings, marketplace power and the presidential election.Company BuildingAcquisition StrategySocial Media
2:01:15EN
Lex Fridman· 2020年7月29日ポッドキャスト · 2 人Nobody Died from the Fukushima Reactorsゲスト Ian Hutchinson · ホスト Lex FridmanMIT plasma physicist Ian Hutchinson on fusion, a hundredfold carbon cut, scientism, and why faith is more than believing unproven claims.Science CommunicationPhilosophyReligion+2
2:07:32EN
Lex Fridman· 2020年7月26日ポッドキャスト · 2 人Richard Karp: Either All These Problems Are Easy, or None of Them Areゲスト Richard Karp · ホスト Lex FridmanThe Turing Award winner walks Lex Fridman from a geometry proof that stopped him at 13 through NP-completeness, randomized algorithms, and why no program yet outthinks a six-month-old.Philosophy of Mind
スライド 6 枚11:41EN
Jane Street· 2020年7月21日Five Ways to Calculate the Wait for a Successful ShotSawyer · Jane StreetA 20% success rate leads to an expected wait of five attempts—but two consecutive successes take 30. Explore the reasoning through series, recursion and a long-run argument.Mathematics
1:41:37EN
Lex Fridman· 2020年7月21日ポッドキャスト · 2 人The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solvedゲスト Jitendra Malik · ホスト Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.モデルと学習画像と動画Autonomous Driving+3
3:40EN
Lex Fridman· 2020年7月20日ポッドキャスト · 2 人Brian Kernighan on JavaScript and Software Dependenciesゲスト Brian Kernighan · ホスト Lex FridmanA 2020 conversation about language evolution and package complexity.
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
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