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1:09:54EN
Cognitive Revolution "How AI Changes Everything"· 2023년 4월 11일팟캐스트A $100 Doctor Visit and a $1 AI: GPT-4 Was Already Unbundling Work진행자 Nathan LabenzBefore GPT-4 launched, Nathan Labenz spent two months making the model play a dozen paid professions, then argued with Erik Torenberg about what that does to jobs, regulation, and white-collar status.기업과 전략AI StrategyAGI(범용 인공지능)+3
1:33:49EN
Cognitive Revolution "How AI Changes Everything"· 2023년 4월 4일팟캐스트Safe Only Because It's Weak: A GPT-4 Red-Teamer and Two Founders Debate the Pause진행자 Nathan LabenzNathan Labenz, who spent six months trying to make GPT-4 misbehave, wants labs to stop training anything bigger; Chroma's Anton Troynikov and Lindy's Flo Crivello argue a six-month freeze buys little and may select for the least careful labs.보안과 안전안전과 거버넌스Existential Risk+3
슬라이드 4장11:28EN
Matthew Berman· 2023년 3월 30일Can AI Development Be Paused? The 2023 Open Letter and Its Trade-OffsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines the call to pause training systems more powerful than GPT-4, the concerns behind it and the difficulties of coordination.AI SafetyAI Regulation안전과 거버넌스
3:08EN
Matthew Berman· 2023년 2월 11일David Guetta’s AI-Generated Eminem Voice and the Questions It RaisesMatthew Berman, David Guetta · Forward FutureMatthew Berman discusses a synthetic vocal played during a DJ set and considers consent, creative use and possible legal disputes.Generative media음성 AICreator Economy+1
1:44:47EN
Lex Fridman· 2020년 11월 25일팟캐스트 · 2명Erik Brynjolfsson on the Exponential Mismatch Remaking Work and Politics게스트 Erik Brynjolfsson · 진행자 Lex FridmanThe Stanford economist tells Lex Fridman why COVID, AI, and social networks all punish linear intuition — and why shared prosperity is the only way the pie-growing story holds.기업과 전략AI Strategy엔터프라이즈 AI+3
1:48:55EN
Lex Fridman· 2019년 11월 19일팟캐스트 · 2명Three Fairness Rules That Cannot All Be True게스트 Michael Kearns · 진행자 Lex FridmanMichael Kearns tells Lex Fridman why algorithmic fairness is messier than privacy, and why a Pareto curve belongs in front of the people who actually have to choose.보안과 안전Privacy & data governance안전과 거버넌스+3
1:00:38EN
Lex Fridman· 2017년 12월 6일팟캐스트The Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safety진행자 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.보안과 안전Autonomous Driving안전과 거버넌스+3
1:23:56EN
Unsupervised Learning: With Jacob Effron팟캐스트A Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in Control진행자 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.보안과 안전안전과 거버넌스AGI Timelines+3
53:39EN
Cognitive Revolution "How AI Changes Everything"팟캐스트A Libertarian's Case for Regulating AI: Kill Switches, Chip Choke Points and a New Form of Life진행자 Nathan LabenzLindy founder Flo Crivello explains why a self-described accelerationist makes an exception for superintelligence, and what he thinks of Biden's executive order.보안과 안전안전과 거버넌스Existential Risk+3
47:13EN
No Priors: AI, Machine Learning, Tech, & Startups팟캐스트 · 2명Reid Hoffman's Case Against Doomerism: AI as the Steam Engine of the Mind진행자 Sarah Guo, Elad GilThe LinkedIn and PayPal co-founder explains why he sees AI as a human amplifier, what white-collar workers should do now, how Inflection's Pi was conceived, and why you can't regulate before you innovate.기업과 전략AI StrategyHuman-AI Collaboration+3
1:12:15EN
Unsupervised Learning: With Jacob Effron팟캐스트The Open-Model Vibe Check: China, Containment, and the Data Moat진행자 Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.오픈소스와 커뮤니티Open-weight modelsOpen-source ecosystems+3
2:18:07EN
Cognitive Revolution "How AI Changes Everything"팟캐스트Gambling on Trump for the AI Era: Nathan Labenz and Samuel Hammond Argue the Stakes진행자 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