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49:14EN
Sequoia Capital· 2024년 9월 17일팟캐스트Humanoid robots fell from $1.5 million to $30,000. The GPT-3 moment is still a verbNvidia’s Jim Fan tells Sequoia how three kinds of data, a humanoid bet, and a System-1 motor-control model could unlock general-purpose robots.
51:15ENSequoia Capital· 2024년 9월 10일팟캐스트AGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.
1:27:02ZH
Zhang Xiaojun Podcast· 2024년 9월 5일팟캐스트 · 3명广密：Self-play RL 可能开启 AGI 的新 Scaling Law게스트 广密 · 진행자 张小珺广密认为，纯靠语言预训练扩展模型的边际收益可能正在减弱，self-play 强化学习是更值得押注的新路径。它能否泛化到代码、视频、机器人和更广的领域，将决定下一阶段的 AGI 竞赛。
50:33ENSequoia Capital· 2024년 8월 20일팟캐스트The 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 1일팟캐스트 · 2명Oriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numbered진행자 Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
1:07:05ENSequoia Capital· 2024년 7월 16일팟캐스트AlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.
52:45EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 13일팟캐스트A $150 million model, $5 million six months later: Benchmark’s AI investment math진행자 Nathan LabenzEric Vishria and Quilter’s Sergiy Nesterenko explain why PCB layout is not a Copilot problem, why human board data would be the wrong training set, and which AI companies look like sugar highs.
56:56ENCognitive Revolution "How AI Changes Everything"· 2024년 4월 25일팟캐스트A Week of PCB Layout in an Hour: Quilter Trains Agents, Not Imitators진행자 Nathan LabenzSpaceX alum Sergiy Nesterenko tells Will Summerlin how Quilter uses reinforcement learning to compile schematics into manufacturable boards, and why cloning human layouts would cap the system at human skill.
9:15EN
Matthew Berman· 2024년 3월 1일Figure 01 and Other Robot Demos: What the 2024 Clips ShowMatthew Berman · Forward FutureMatthew Berman reviews a humanoid making coffee, inexpensive robot arms and other robotics demonstrations. The clips show specific tasks, not proof of artificial general intelligence.
1:43:47EN
Lex Fridman· 2024년 2월 16일팟캐스트 · 2명You Have to Run Before You Can Walk: Marc Raibert on Making Metal Look Alive게스트 Marc Raibert · 진행자 Lex FridmanThe Boston Dynamics founder tells Lex Fridman why aggressive hopping beat cautious walking, how 109 Atlas falls became a method, and why robots still need a second kind of intelligence.
1:58:43ENCognitive Revolution "How AI Changes Everything"· 2024년 2월 7일팟캐스트A Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.진행자 Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.
21:00ENMatthew Berman· 2024년 1월 23일Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.
2:27:58ENLex Fridman· 2023년 4월 28일팟캐스트 · 2명It took Atlas fourteen years to walk the way Playter wanted게스트 Robert Playter · 진행자 Lex FridmanBoston Dynamics CEO Robert Playter traces thirty years from a MIT basement pogo stick to Atlas, Spot, and Stretch — and why the company still designs machines that are allowed to fall.
1:07:10ZH
跟李沐学AI· 2022년 12월 29일InstructGPT 论文精读：从人工反馈到语言模型对齐从监督微调、奖励模型到 PPO，梳理 InstructGPT 的训练流程、实验结果与局限。
2:29:21ENLex Fridman· 2022년 12월 6일팟캐스트 · 2명The Poker Bot That Never Tried to Read a Soul게스트 Noam Brown · 진행자 Lex FridmanNoam Brown tells Lex Fridman how a Nash-equilibrium bot crushed heads-up no-limit Hold'em, how Pluribus did it six-handed, and why Diplomacy required an AI that could earn human trust.
2:10:39ENLex Fridman· 2022년 7월 1일팟캐스트 · 2명Demis Hassabis: Solve Intelligence, Then Solve Everything Else게스트 Demis Hassabis · 진행자 Lex FridmanThe DeepMind CEO tells Lex Fridman why the Turing Test is the wrong exam, how AlphaFold rewrote biology, and why the quiet radio sky suggests we are probably alone.
1:56:17ENLex Fridman· 2021년 4월 19일팟캐스트 · 2명If You Reran Earth a Million Times, Would Anything Like Us Appear?게스트 Risto Miikkulainen · 진행자 Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.
2:01:07ENLex Fridman· 2020년 12월 12일팟캐스트 · 2명Michael Littman isn’t waiting for a runaway god. He’s watching us.게스트 Michael Littman · 진행자 Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.
1:37:31ENLex Fridman· 2020년 7월 14일팟캐스트 · 2명The Robot That Brought the Beer Was Being Teleoperated게스트 Sergey Levine · 진행자 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.
2:00:32ENLex Fridman· 2020년 7월 3일팟캐스트 · 2명Slow Synapses Grow Fast Learners — Warmth Is the Harder Problem게스트 Matt Botvinick · 진행자 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.
1:48:01ENLex Fridman· 2020년 4월 3일팟캐스트 · 2명David Silver: AlphaGo Won by Taking Human Knowledge Out게스트 David Silver · 진행자 Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.
1:38:33ENLex Fridman· 2020년 3월 19일팟캐스트 · 2명Maybe people are rational under different assumptions게스트 Anca Dragan · 진행자 Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.
1:39:56ENLex Fridman· 2020년 2월 26일팟캐스트 · 2명Why Marcus Hutter Treats Compression as Intelligence Itself게스트 Marcus Hutter · 진행자 Lex FridmanThe DeepMind researcher behind AIXI tells Lex Fridman why a Wikipedia compression contest, Solomonoff induction, and an incomputable formula belong in the same conversation.
1:29:10ENLex Fridman· 2020년 2월 20일팟캐스트 · 2명Andrew Ng: The Hardest Part of AI Is Rarely the Algorithm게스트 Andrew Ng · 진행자 Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.더 보기100개 중 24개 표시