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5:15:00EN
Lex Fridman· 2024년 11월 11일팟캐스트 · 2명Dario Amodei Has Seen This Scaling Movie Enough Times게스트 Dario Amodei · 진행자 Lex FridmanAnthropic’s CEO puts numbers on frontier training costs and AGI, then hands the mic to the people who shape Claude’s character and look inside its weights.모델과 학습안전과 거버넌스Scaling Laws+3
2:30:28EN
Lex Fridman· 2023년 4월 21일팟캐스트 · 2명AI Only Has a Neocortex: Manolis Kellis on Evolutionary Baggage and Superintelligent Partners게스트 Manolis Kellis · 진행자 Lex FridmanOn his fifth Lex Fridman podcast, the MIT computational biologist argues that layered evolutionary history is what makes humans irreplaceable — and that alignment with AI has to run both ways.PhilosophyAGI(범용 인공지능)Model Interpretability+3
3:17:51EN
Lex Fridman· 2023년 3월 30일팟캐스트 · 2명Whoops is the sound of getting less wrong: Yudkowsky, two weeks after GPT-4게스트 Eliezer Yudkowsky · 진행자 Lex FridmanTwo weeks after GPT-4 launched, Eliezer Yudkowsky sat down with Lex Fridman and started by admitting the transformer stack had already gone further than he expected.보안과 안전안전과 거버넌스Existential Risk+3
3:02:43EN
Lex Fridman· 2021년 1월 18일팟캐스트 · 2명Humanity Cannot Survive on the Right Person Showing Up at the Right Time게스트 Max Tegmark · 진행자 Lex FridmanMIT physicist Max Tegmark tells Lex Fridman why AI should be as well understood as rockets, why 2020 was a warning on weapons and news, and why luck is a terrible long-term plan.보안과 안전안전과 거버넌스AI research+3
1:18:41EN
Lex Fridman· 2020년 1월 14일팟캐스트 · 2명The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Us게스트 Daniel Kahneman · 진행자 Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.머신러닝 기초Deep LearningHuman-AI Collaboration+3
2:24:31EN
Lex Fridman· 2019년 10월 11일팟캐스트 · 2명Watson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itself게스트 David Ferrucci · 진행자 Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.RAG와 지식검색 증강 생성(RAG)AI research+3