筛选结果
77 篇排序
1:08:02EN → 简体中文
Sequoia Capital· 2026年10月13日播客AlphaGo 花了两年，AlphaZero 只用了几个小时：Silver 在超级智能上押了同样的注David Silver 和 Lasse Espeholt 离开 DeepMind，创办了一家二十人的实验室 Ineffable Intelligence。他们想打造一个超级学习者（superlearner），让它从经验中发现科学、数学和语言，而不是靠一轮预训练（pre-training）。
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日播客 · 2 人对谈10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger主持 Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
56:31EN
Unsupervised Learning: With Jacob Effron· 2026年10月6日播客Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
53:44ENSequoia Capital· 2026年8月18日播客The Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.
49:12ENSequoia Capital· 2026年7月29日播客The People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.
45:33ENSequoia Capital· 2026年5月26日播客Cursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.
59:41ENUnsupervised Learning: With Jacob Effron· 2026年5月22日播客The GPT moment for video hasn’t arrived, but AGI may already be here主持 Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.
34:56ENSequoia Capital· 2026年5月13日播客On Suno, 90% of Daily Users Make a SongCEO Mikey Shulman on modeling raw sound instead of music theory, why music is not an LLM-style scale problem, and treating creation itself as the entertainment.
1:48:43EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年5月1日播客奖励从 3 涨到 180，Hacker News 上的标题全是谷歌裁员主持 Nathan LabenzCoreWeave 的 Kyle Corbitt 带 Nathan Labenz 讲 GRPO、评分标准（rubric）、强化学习环境，以及为什么大多数奖励作弊（reward hacking）只要知道去找，就很容易发现。
3:36:29EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年4月23日播客Claude 给自己的福利打了 4.49 分：首个越过中性线的版本主持 Nathan LabenzCameron Berg 再次做客《The Cognitive Revolution》，梳理六个月来在内省、功能性情绪和模型福利（model welfare）方面的研究，并介绍一项尚未发表的案例：学习与感受也许是同一种现象。
2:31:27EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年4月15日播客一个 AI 店长、2.6 星的评分，还有一部没人必须遵守的宪法主持 Nathan Labenz《The Cognitive Revolution》的一期现场节目，把印刷电路板（PCB）布局、AI 宪法和旧金山第一家由 AI 运营的杂货店，放进了同一个上午的时间表里。
58:46ENUnsupervised Learning: With Jacob Effron· 2026年4月9日播客Two Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028主持 Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.
54:26ENCognitive Revolution "How AI Changes Everything"· 2026年2月22日播客Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready主持 Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
1:03:00ENUnsupervised Learning: With Jacob Effron· 2026年1月29日播客A Model That Solves New Math Problems Every Week Still Isn't AGI主持 Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
37:00ENSequoia Capital· 2026年1月14日播客The AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.
1:01:38ENSequoia Capital· 2026年1月6日播客13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.
36:58ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年10月9日播客 · 2 人对谈STaR's Author Wants Models With EQ, Not Just More IQ主持 Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.
1:01:49ENCognitive Revolution "How AI Changes Everything"· 2025年10月2日播客ChatGPT's Co-Creator Left to Put Nature in the Reward Loop主持 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
1:02:05EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年9月24日播客1 亿美元的研究员与 2000 亿美元的 xAI：AI 圆桌算了一笔账主持 Jacob EffronDatology 的 Ari Morcos 与 Radical Ventures 的 Rob Toews 争论：模型是否进入平台期，强化学习环境（RL environment）创业公司能否撑得久，以及为什么谷歌是他们会选的实验室。
3:14:49EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年9月6日播客今年夏天，什么都没有突破曲线：Zvi 为什么拉长了 AGI 时间表主持 Nathan Labenz这是 Zvi Mowshowitz 第十次做客《The Cognitive Revolution》播客。他认为 GPT-5 和国际数学奥林匹克（IMO）金牌都在既有趋势之内，而芯片政策、能源问题和强化学习让他的末日概率（p(doom)）微微上调。
30:11ENSequoia Capital· 2025年7月30日播客From 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
1:02:54ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年7月17日播客 · 2 人对谈Enterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Half主持 Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
38:10ENCognitive Revolution "How AI Changes Everything"· 2025年7月16日播客Plus Five for Format, Plus Ten if It Compiles主持 Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
57:31EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年5月22日播客衡量模型的新标尺：它们能独立工作多久主持 Jacob EffronClaude 4 发布当天，Anthropic 研究员 Sholto Douglas 认为，AI 的下一阶段不再主要比谁能解更难的谜题，而是比谁能在无人监督的情况下持续工作数小时。加载更多已显示 24 篇，共 77 篇