絞り込み結果
95 件並び順
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月18日ポッドキャスト · 2 人Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Siliconホスト Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.
3:36:13EN
Zhang Xiaojun Podcast· 2026年8月13日ポッドキャスト · 2 人NVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New Marketsゲスト Ming-Yu Liu · ホスト 张小珺NVIDIA research VP Ming-Yu Liu explains how a decade of generative-model research led to Cosmos 3, a world foundation model for Physical AI. He also shares what he learned from Jensen Huang about long-term bets, teamwork, and building markets instead of fighting over existing ones.
2:59:03ENZhang Xiaojun Podcast· 2026年7月28日ポッドキャスト · 2 人You Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure Companyゲスト You Kaichao · ホスト 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.
3:46:12ENZhang Xiaojun Podcast· 2026年7月16日ポッドキャスト · 2 人Kay Ke on Physical Intelligence, Robot Learning, and the Future of Roboticsゲスト Kay Ke · ホスト 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.
36:19ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日ポッドキャスト · 2 人The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Modelsホスト Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.
32:22EN
20VC with Harry Stebbings· 2026年4月7日ポッドキャスト · 2 人Demis Hassabis on AGI, Scientific Discovery and the Challenges Aheadゲスト Demis Hassabis · ホスト Harry StebbingsThe Google DeepMind CEO discusses compute, continual learning, safety standards and his hopes for AI in science, medicine and energy.
47:05ENLogan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.
42:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年6月26日ポッドキャスト · 2 人AlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%ホスト Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.
3:14:34EN
Lex Fridman· 2025年6月14日ポッドキャスト · 2 人If ten things make a problem hard, Terence Tao turns nine of them offゲスト Terence Tao · ホスト Lex FridmanThe Fields Medalist walks Lex Fridman from the Kakeya needle and Navier-Stokes through Lean, Perelman, and why today's AI still cannot smell a dead-end proof.
38:10ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年5月1日ポッドキャスト · 2 人o3 should wait exactly as long as the answer takesホスト Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.
2:36:13ZHZhang Xiaojun Podcast· 2025年2月24日ポッドキャスト · 2 人松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文ゲスト Songlin Yang（松琳） · ホスト 张小珺从动态稀疏注意力到线性注意力混合架构：三条长上下文路线如何兼顾训练、推理与硬件效率
53:07ZHZhang Xiaojun Podcast· 2025年2月17日ポッドキャスト · 2 人张亚勤：信息智能、物理智能与生物智能的 AGI 路线图ゲスト 张亚勤 · ホスト 张小珺张亚勤把 AGI 的发展分为信息、物理和生物三类智能：信息智能可能在五年内接近人类，通用机器人约需十年，生物智能则可能在二十年后扩展人的记忆与健康。他也讨论大模型如何为自动驾驶和机器人补上数据、常识与行动能力。
45:31ENJerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.
2:49:35ZHZhang Xiaojun Podcast· 2025年2月4日ポッドキャスト · 2 人潘嘉怡解读 R1、o1 与 Kimi K1.5：强化学习如何教模型学会推理ゲスト 潘嘉怡 · ホスト 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告，拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。
1:33:07ZHZhang Xiaojun Podcast· 2024年8月17日ポッドキャスト · 2 人广密复盘全球大模型这一年：Scaling Law、AGI 豪赌与中美格局ゲスト 李广密 · ホスト 张小珺拾象创始人李广密从硅谷一线观察出发，回顾 OpenAI、Anthropic、Google 与中国模型公司的竞争。他认为，模型能力与成本共同决定新一轮应用爆发，而巨额投入押注的是智能能否持续扩展以及 AI 对经济和产业的长期重构。
34:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日ポッドキャスト · 2 人Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformersホスト Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.
2:15:39ENLex Fridman· 2024年6月2日ポッドキャスト · 2 人Roman Yampolskiy Puts Superintelligent Ruin at 99.99 Percentゲスト Roman Yampolskiy · ホスト Lex FridmanThe AI safety researcher tells Lex Fridman that controlling AGI is as impossible as a perpetual motion machine, and that tests, open source, and regulation cannot close the gap.
2:50:44ENLex Fridman· 2024年4月17日ポッドキャスト · 2 人The Pirahã Have No Word for Oneゲスト Edward Gibson · ホスト Lex FridmanMIT psycholinguist Ted Gibson tells Lex Fridman why related words sit together, why language is not thought, and why large language models ace form while missing meaning.
2:47:17ENLex Fridman· 2024年3月7日ポッドキャスト · 2 人If You Want Human-Level AI, Abandon Generative Modelsゲスト Yann Lecun · ホスト Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.
41:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年11月2日ポッドキャスト · 2 人Reliability is the bottleneck. Autonomy is what would make AI feel alive.ホスト Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.
39:50ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年7月20日ポッドキャスト · 2 人Why AI Video Is Still a Four-Second Corgiホスト Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.
3:11:35ENLex Fridman· 2023年6月21日ポッドキャスト · 2 人Search was always a hack: Marc Andreessen on AI, truth, and the next internetゲスト Marc Andreessen · ホスト Lex FridmanLex Fridman sits down with the Mosaic co-creator and Andreessen Horowitz founder to ask whether Google Search, the browser, and open-source AI survive the decade.
2:07:04ENLex Fridman· 2023年5月28日ポッドキャスト · 2 人The Ribosome Already Solved Digital Manufacturingゲスト Neil Gershenfeld · ホスト Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.
4:14:33ENLex Fridman· 2023年5月9日ポッドキャスト · 2 人The Next Token Is Not a Proof: Stephen Wolfram on ChatGPT and Computational Truthゲスト Stephen Wolfram · ホスト Lex FridmanIn his fourth conversation with Lex Fridman, Stephen Wolfram contrasts large language models with Wolfram|Alpha, then follows computational irreducibility from ChatGPT through observers, thermodynamics, and the three great theories of twentieth-century physics.もっと見る95 件中 24 件を表示