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39:05ZH
Zhang Xiaojun Podcast· 25. Sept. 2024Podcast · 2 Stimmen王小川:o1、强化学习与从快思考走向慢思考Gast: 王小川 · Moderation: 张小珺百川智能创始人解读 o1 的可能技术路径,讨论强化学习、医疗场景和创业公司的选择。AI researchReinforcement LearningReasoning & test-time compute+2
39:45EN
Sequoia Capital· 24. Sept. 2024PodcastHarmonic’s Bet: Teach AI Math Directly, and the Riemann Hypothesis Falls by 2029Robinhood’s Vlad Tenev and Harmonic co-founder Tudor Achim tell Sequoia why math is reasoning, why Lean is the verifier, and why they refuse to wait for mathematical skill to emerge from scale.Modelle & TrainingSynthetic dataReinforcement Learning+3
1:14:11ZH
Zhang Xiaojun Podcast· 18. Sept. 2024Podcast · 2 Stimmen吴翼解读 o1:推理、强化学习与早期 OpenAIGast: 吴翼 · Moderation: 张小珺强化学习研究者讨论 o1-preview 的潜力、尚未知晓的实现细节,以及他在 OpenAI 的研究经历。Modelle & TrainingAI researchReinforcement Learning+1
49:14EN
Sequoia Capital· 17. Sept. 2024PodcastHumanoid 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.AgentenRoboticsScaling Laws+3
51:15EN
Sequoia Capital· 10. Sept. 2024PodcastAGI 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.Coding-AgentenAGIReasoning & test-time compute+3
1:27:02ZH
Zhang Xiaojun Podcast· 5. Sept. 2024Podcast · 3 Stimmen广密:Self-play RL 可能开启 AGI 的新 Scaling LawGast: 广密 · Moderation: 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。Reinforcement LearningAGIScaling Laws+2
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Sequoia Capital· 20. Aug. 2024PodcastThe 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.Infrastruktur & DeploymentReinforcement LearningData quality & curation+3
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 1. Aug. 2024Podcast · 2 StimmenOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedModeration: 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.Modelle & TrainingAGI TimelinesPretraining & midtraining+3
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Sequoia Capital· 16. Juli 2024PodcastAlphaGo 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.AgentenAgent EngineeringReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 13. Juni 2024PodcastA $150 million model, $5 million six months later: Benchmark’s AI investment mathModeration: 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.Unternehmen & StrategieAI StrategyAI startups & small teams+3
5 Folien14:33EN
Matthew Berman· 1. Mai 2024Astribot and Other Robot Demonstrations: Dexterity, Soccer and MobilityMatthew Berman · Forward FutureMatthew Berman reviews 2024 robot demonstrations, from Astribot's manipulation tasks to DeepMind soccer, Unitree flips and a legged monocycle.RoboticsReinforcement LearningAutonomous Systems
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Cognitive Revolution "How AI Changes Everything"· 25. Apr. 2024PodcastA Week of PCB Layout in an Hour: Quilter Trains Agents, Not ImitatorsModeration: 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.Unternehmen & StrategieReinforcement LearningRL environments & simulators+3
7 Folien18:42EN
Matthew Berman· 20. März 2024Robot Demonstrations in 2024: 1X, NVIDIA, Spot and BeyondMatthew Berman · Forward FutureMatthew Berman surveys humanoid, quadruped, drone and defense robotics, distinguishing company demonstrations from general-purpose autonomy.RoboticsReinforcement LearningAI research
5 Folien9:15EN
Matthew Berman· 1. März 2024Figure 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.RoboticsAI agentsReinforcement Learning+1
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Lex Fridman· 16. Feb. 2024Podcast · 2 StimmenYou Have to Run Before You Can Walk: Marc Raibert on Making Metal Look AliveGast: Marc Raibert · Moderation: 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.RoboticsAutonomous SystemsCompany Building+3
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 7. Feb. 2024PodcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Moderation: Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modelle & TrainingAI HistoryNeuroscience & AI+3
4 Folien21:00EN
Matthew Berman· 23. Jan. 2024Jim 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.RoboticsAgentenReinforcement Learning+2
3 Folien35:16EN
Matthew Berman· 28. Nov. 2023What Was Known About Q* in 2023—and What Was SpeculationMatthew Berman, Sam Altman, Andrej Karpathy · Forward FutureMatthew Berman surveys rumors, reasoning papers and self-play analogies after OpenAI’s leadership crisis, with important limits on what was verified.AI researchReasoning & test-time computeOpenAI+2
5 Folien8:26EN
Matthew Berman· 28. Mai 2023Voyager: How a GPT-4 Agent Learns Minecraft SkillsMatthew Berman · Forward FutureMatthew Berman explains a research system that proposes Minecraft tasks, stores reusable code and uses feedback to improve its next attempt.AI agentsAgent memoryReinforcement Learning+1
2 Folien6:53EN
Matthew Berman· 4. Mai 2023StableVicuna’s 2023 Release: An Early RLHF Chatbot Put to the TestMatthew Berman · Forward FutureMatthew Berman reviews the 13-billion-parameter model and tests poetry, simple code, reasoning and a resignation email.Open-weight modelsReinforcement LearningEvals+1
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Lex Fridman· 28. Apr. 2023Podcast · 2 StimmenIt took Atlas fourteen years to walk the way Playter wantedGast: Robert Playter · Moderation: 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.RoboticsAutonomous SystemsAI research+3
6 Folien1:07:10ZH
跟李沐学AI· 29. Dez. 2022InstructGPT 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。Reinforcement LearningModelle & Training
2:29:21EN
Lex Fridman· 6. Dez. 2022Podcast · 2 StimmenThe Poker Bot That Never Tried to Read a SoulGast: Noam Brown · Moderation: 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.AgentenReinforcement LearningMulti-agent systems+1
2:10:39EN
Lex Fridman· 1. Juli 2022Podcast · 2 StimmenDemis Hassabis: Solve Intelligence, Then Solve Everything ElseGast: Demis Hassabis · Moderation: 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.Modelle & TrainingAI researchAGI+3
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