最新の記事
3,668 件並び順
1:09:50ZH
Zhang Xiaojun Podcast· 2026年8月19日ポッドキャスト · 2 人苏庭灏：一位高中生的 AI 研究、教育与快乐ゲスト 苏庭灏 · ホスト 张小珺从自学 Transformer 和发表论文，到思考 AI 时代的学习、焦虑与人与人的连接。
38:21EN
Theo - t3․gg· 2026年8月19日How Theo Evaluates AI Agent Skills: Matt Pocock’s Collection and PStackTheo Browne · t3.ggTheo Browne tries skills for clearer writing, project interviews and code review, and explains how he selects instructions for his own agent workflows.
53:44EN
Sequoia Capital· 2026年8月18日ポッドキャスト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.
0:28ENTheo - t3․gg· 2026年8月18日Theo on Working Without Opening a TerminalTheo Browne · Ping LabsA reboot helped Theo realize that a more readable, organized interface had changed his coding workflow.
1:09:44EN
20VC with Harry Stebbings· 2026年8月17日ポッドキャスト · 2 人Andrew Macdonald on Uber’s Membership Strategy, Autonomy and AIゲスト Andrew Macdonald · ホスト Harry StebbingsUber’s president and COO discusses marketplace incentives, autonomous vehicles, the company’s China exit and the challenge of measuring AI’s value.
31:17ENTheo - t3․gg· 2026年8月17日Why Theo Moved From Terminals to Graphical Agent WorkflowsTheo Browne · t3.ggTheo Browne explains how parallel coding agents changed his tool preferences, and why he helped build the open-source T3 Code interface.
9:15EN
Matthew Berman· 2026年8月17日Six Open-Source Projects for Local AI, Agents, and 3D DesignMatthew Berman · Forward FutureMatthew Berman tours tools for running and training models, giving agents new skills, coordinating work, browsing, and generating 3D meshes.
1:25:13EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月16日ポッドキャストA $500 Lamp Cut TB Transmission 90 Percent. Almost Nobody Buys Oneホスト Nathan LabenzAerolamp's Misha Gurevich and Vivian Belenky walk Patrick McKenzie through far-UVC at 222 nanometers: the lab science, the safety case, and why the bottleneck is awareness rather than physics.
1:20:47EN20VC with Harry Stebbings· 2026年8月15日ポッドキャスト · 2 人Matt Swulinski on Building and Measuring a Product-Led Growth Engineゲスト Matt Swulinski · ホスト Harry StebbingsThe growth leader shares lessons from Superhuman, Wispr Flow and Viktor on paid acquisition, creative testing, referrals and AI-assisted workflows.
0:18ENTheo - t3․gg· 2026年8月14日Theo Discusses Elon Musk’s Grok 4.7 PreviewTheo Browne · Ping LabsTheo reacts to Musk’s August 2026 claims about the next Grok model, its training and an expected release window.
31:58ENTheo - t3․gg· 2026年8月14日Claude’s AI Watermarks and the Limits of Detecting Generated ContentTheo Browne · t3.ggTheo Browne examines Anthropic’s marking plans, the challenge of text watermarks, and what signed provenance can and cannot establish.
13:09ENMatthew Berman· 2026年8月14日AI News: Ultrafast Inference, Claude Watermarks and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews an ultrafast coding preview, text watermarking, Grok Bot, open-weight models and Computer History.
2:06:11ENCognitive Revolution "How AI Changes Everything"· 2026年8月14日ポッドキャストLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Bannedホスト Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.
3:36:13ENZhang 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.
46:08EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月13日ポッドキャスト · 2 人Computers Beat Humans at Chess 30 Years Ago. Chess.com Still Has 250 Million Playersホスト Sarah Guo, Elad GilChess.com CEO Erik Allebest tells Sarah Guo how a $56,000 domain became a $200 million business, and why superhuman AI made chess more popular, not obsolete.
25:31ENTheo - t3․gg· 2026年8月13日Grok 4.6: Better Agent Benchmarks, With Tradeoffs in Speed and CostTheo Browne · t3.ggTheo Browne tests Grok 4.6 on design, games and real code, weighing reported benchmark gains against his experience of slower and costlier tasks.
1:29:42EN20VC with Harry Stebbings· 2026年8月13日ポッドキャスト · 3 人20VC on AI Competition, Founder Control and Software Valuationsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate how AI is reshaping software markets, talent, infrastructure and investor incentives.
3:12:58EN
Lex Fridman· 2026年8月12日ポッドキャスト · 2 人One Cold Shower, Twenty Champions: How Khabib Nurmagomedov Was Forgedゲスト Khabib Nurmagomedov · ホスト Lex FridmanIn a Makhachkala school gym, seventy men shared one shower, and the water was only cold.
3:36:13ZHZhang Xiaojun Podcast· 2026年8月12日ポッドキャスト · 2 人刘洺堉：Cosmos 世界模型与物理 AI 的长期路线ゲスト 刘洺堉 · ホスト 张小珺从图像生成、研究管理到 Cosmos 3，英伟达研究负责人讨论如何为物理 AI 构建基础。
1:07ENMatthew Berman· 2026年8月11日Matthew Berman on Relay: Routing Coding Work Across ModelsMatthew Berman · Forward FutureA short demonstration of a free coding skill that assigns planning, implementation and review to different models. Its cost comparison is one example, not a guarantee of savings or equivalent quality.
37:02ENMatthew Berman· 2026年8月11日Matthew Berman on Zuckerberg’s AI Vision and the Problem of Unequal ComputeMatthew Berman · Forward FutureA review of Meta’s case for widely distributed superintelligence asks whether access to the same models can overcome disparities in compute and energy.
51:15ENTheo - t3․gg· 2026年8月11日How Theo Refined His AGENTS.md and Skills From Real Agent FailuresTheo Browne · t3.ggTheo Browne explains how he audits agent sessions, writes project guidance and shares skills across machines without treating his configuration as a template.
0:31ENTheo - t3․gg· 2026年8月11日Theo on Writing Skill Descriptions as TriggersTheo Browne · Ping LabsTheo argues that a skill description should help a model decide when to load the skill, rather than contain the entire procedure.
1:08:25EN20VC with Harry Stebbings· 2026年8月10日ポッドキャスト · 2 人Alex Atallah on OpenRouter, Model Competition and AI Marketplacesゲスト Alex Atallah · ホスト Harry StebbingsThe OpenRouter CEO discusses inference providers, open-weight models, enterprise safety and the economics of routing.もっと見る3,668 件中 24 件を表示