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44 件
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1:56:38EN
Lex Fridman· 2020年3月25日ポッドキャスト · 2 人Bostrom Will Not Pick a Fork: The Simulation Argument Is a Disjunction, Not a Betゲスト Nick Bostrom · ホスト Lex FridmanNick Bostrom walks Lex Fridman through the simulation argument, anthropic reasoning, and why superintelligence talk should be split into near-term and long-term conversations.Simulation HypothesisExistential RiskPhilosophy of Mind+3
1:52:40EN
Lex Fridman· 2019年12月28日ポッドキャスト · 2 人Without Analogies, There Can Be No Conceptsゲスト Melanie Mitchell · ホスト Lex FridmanMelanie Mitchell talks with Lex Fridman about why analogy sits at the core of thought, why scaled-up learning still fails at common sense, and why she thinks human-level AI is more than a century away.Deep Learning CritiqueAGI TimelinesAI History+3
1:01:00EN
Lex Fridman· 2019年10月22日ポッドキャスト · 2 人A Hundred Billion Galaxies, and We're Still a Type 0.7 Civilizationゲスト Michio Kaku · ホスト Lex FridmanTheoretical physicist Michio Kaku talks with Lex Fridman about aliens, string theory, digital immortality, and why fusion and Mars are the next civilizational steps.AGI TimelinesConsciousness & IntelligenceNeuroscience & AI+3
1:25:01EN
Lex Fridman· 2019年10月3日ポッドキャスト · 2 人Gary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.ゲスト Gary Marcus · ホスト Lex FridmanOn Lex Fridman's podcast, the NYU emeritus and Rebooting AI co-author argues that perception and reasoning need different tools — and that trustworthy AI is impossible until machines can represent harm, bottles, and intent.モデルと学習Deep Learning CritiqueAGI Timelines+3
1:25:07EN
Lex Fridman· 2019年4月3日ポッドキャスト · 2 人The Only Real Freedom Is How AGI Is Bornゲスト Greg Brockman · ホスト Lex FridmanGreg Brockman tells Lex Fridman why OpenAI’s job is to set the initial conditions of general intelligence, not to monopolize who builds it.企業と戦略AGI Timelines安全性とガバナンス+3
1:19:59EN
Lex 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.モデルと学習機械学習の基礎AGI Timelines+3
1:22:58EN
Lex 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.セキュリティと安全性安全性とガバナンスAGI Timelines+3
1:25:13EN
Lenny's PodcastポッドキャストCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a Teammateホスト Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.コーディングエージェントCode review & verificationDeveloper productivity+3
1:23:56EN
Unsupervised Learning: With Jacob EffronポッドキャストA Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in Controlホスト Jacob EffronDaniel Kokotajlo and Thomas Larsen walk through their AI 2027 scenario, where they disagree on timelines and alignment, and what they think governments and the public should do.セキュリティと安全性安全性とガバナンスAGI Timelines+3
1:07:08EN
Lenny's Podcastポッドキャスト · 2 人If the Model Is the Product, the Eval Is the PRD: Inside Mercor's Riseゲスト Brendan Foody · ホスト Lenny RachitskyMercor CEO Brendan Foody explains why AI labs will pay almost anything for expert-written evals, how his company grew from $1 million to a $400 million run rate in 16 months, and what that means for jobs and founders.評価とオブザーバビリティ評価(Evals)Data quality & curation+3
1:14:59EN
Lenny's PodcastポッドキャストWhy Anthropic's Ben Mann Thinks the Exponential Hasn't Slowed, and Why He Still Worries About Safetyホスト Lenny RachitskyThe Anthropic co-founder on the AI talent war, scaling laws, the economic Turing test, jobs, leaving OpenAI, constitutional AI and how he forecasts the risk of superintelligence.セキュリティと安全性安全性とガバナンスAGI Timelines+3
50:23EN
Unsupervised Learning: With Jacob EffronポッドキャストOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrivesホスト Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.企業と戦略AGI TimelinesAI Strategy+3
2:18:07EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストGambling on Trump for the AI Era: Nathan Labenz and Samuel Hammond Argue the Stakesホスト Nathan LabenzA long, good-natured debate over whether Trump's high-variance, ideas-driven coalition or a stable incrementalist Democratic establishment is the better bet for governing AI, China policy and a possible intelligence explosion.AI RegulationGeopoliticsAI Strategy+3
11:23EN
Lex Fridmanポッドキャスト · 2 人Science Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence Explosionゲスト François Chollet · ホスト Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.モデルと学習AGI(汎用人工知能)AI research+3