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3,560 件
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1:39:00EN
20VC with Harry Stebbings· 2026年6月4日ポッドキャスト · 3 人20VC on AI Financing, Token Budgets and the Cost of Startup Intensityゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported listings, software valuations, AI spending and demanding work cultures.Venture CapitalAI cost & performanceFuture of Work+2
スライド 10 枚1:31:56EN
Matthew Berman· 2026年6月4日When AI Builds Itself: Anthropic’s Recursive Improvement Essay and Its LimitsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s internal coding and research claims, questions its proposed slowdown, and considers what autonomous AI development could mean.AI researchコーディングエージェントAI Safety+2
42:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月4日ポッドキャスト · 2 人Every Company Can Operate at the Frontier — If It Owns the Evalsホスト Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.企業と戦略エンタープライズ AIAI Strategy+3
スライド0:47EN
Matthew Berman· 2026年6月4日Cognition's AI Productivity Guarantee for DevinMatthew Berman · Forward FutureMatthew Berman discusses a 2026 enterprise offer that compares estimated engineering value with the cost of using Devin.Developer productivityコーディングエージェントPricing+1
2:59:44EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月3日ポッドキャストTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.ホスト Nathan LabenzGoogle researcher Ali Behrouz tells Nathan Labenz how stacking update frequencies — not just layers — and an offline sleep phase could give language models genuine continual learning.モデルと学習Continual learningTransformers & attention+3
1:13:33EN
Unsupervised Learning: With Jacob Effron· 2026年6月3日ポッドキャストA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still Missホスト Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.モデルと学習AI researchコーディングエージェント+3
スライド 6 枚20:12EN
Matthew Berman· 2026年6月2日AI, Jobs and the Gap Between Automation Hype and Business ValueMatthew Berman · Forward FutureMatthew Berman argues that adoption is slower and more complicated than feared, while discussing layoffs, AI costs and the work humans still do.Future of WorkAI AdoptionAI cost & performance+1
1:06EN
Matthew Berman· 2026年6月2日Running AI Agents in the Cloud Instead of on a LaptopMatthew Berman · Forward FutureMatthew Berman argues that cloud-hosted agents can keep working when a laptop sleeps or loses connectivity. The video is sponsored by DigitalOcean.AI agentsインフラとデプロイエージェント工学
40:22EN
Sequoia Capital· 2026年6月2日ポッドキャストBuilding Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.プロダクトと UXProduct StrategyAI Product Management+3
56:10EN
Unsupervised Learning: With Jacob Effron· 2026年6月1日ポッドキャストReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the Cardホスト Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.企業と戦略AI Strategy安全性とガバナンス+3
1:14:12EN
20VC with Harry Stebbings· 2026年6月1日ポッドキャスト · 2 人Brendan Foody on Mercor, AI Data and the Future of Workゲスト Brendan Foody · ホスト Harry StebbingsThe Mercor CEO discusses a security incident, data-provider economics, enterprise agents and the uncertain effects of AI on employment.AI AdoptionFuture of WorkAI cost & performance+2
1:34:36EN
Jane Street· 2026年6月1日Nate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.インフラとデプロイProgramming LanguagesSoftware engineering+2
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月1日ポッドキャストA security researcher audits the AI stack that booked a week of guestsホスト Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.エージェントPersonal agentsエージェント工学+3
56:55EN
20VC with Harry Stebbings· 2026年5月30日ポッドキャスト · 2 人Nico Laqua on Corgi’s Work Culture, Fundraising and AIゲスト Nico Laqua · ホスト Harry StebbingsCorgi’s co-founder describes a seven-day work culture, the company’s cafe and equity practices, and his approach to investors and AI.Company BuildingCompany CultureLeadership+2
スライド2:22EN
Matthew Berman· 2026年5月29日Pioneer Agent and Automated Fine-Tuning of Small ModelsMatthew Berman · Forward FutureIn a Fastino-sponsored video, Matthew Berman describes a system that automates parts of model adaptation and discusses its reported benchmark results.ファインチューニング評価(Evals)Local inference+2
スライド 5 枚21:56EN
Matthew Berman· 2026年5月29日Matthew Berman on Pope Leo XIV’s AI Encyclical and Anthropic’s RoleMatthew Berman, Chris Olah · Forward FutureA close reading of Magnifica humanitas raises questions about human dignity, AI companionship, concentrated power and who should govern AI.AI Regulation安全性とガバナンスAI Alignment+2
2:53:42EN
Lex Fridman· 2026年5月29日ポッドキャスト · 2 人The Moon Is Falling. It Just Keeps Missing.ゲスト Biggest Mysteries in Physics · ホスト Lex FridmanFermilab physicist Don Lincoln tells Lex Fridman that the history of physics is a history of unification, and that antimatter, dark energy, and a theory of everything still sit far beyond the experiments we can run.Quantum MechanicsScience CommunicationPhilosophy of Science
1:27:44EN
20VC with Harry Stebbings· 2026年5月28日ポッドキャスト · 3 人AI Spending, Layoffs and IPO Speculation: Jason Lemkin and Rory O’Driscoll on the Economics of Agentsゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsA 20VC roundtable examines how businesses weigh AI tokens against human work, and how investors assess infrastructure startups amid uncertain valuations and reported IPO plans.AI cost & performanceVenture Capitalエンタープライズ AI+2
41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月28日ポッドキャスト · 2 人After Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Onesホスト Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.セキュリティと安全性AI securityエージェント工学+3
スライド 6 枚2:34:17EN
Matthew Berman· 2026年5月28日Matthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 5 枚17:03EN
Matthew Berman· 2026年5月27日DeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.Benchmarksコーディングエージェント評価(Evals)+2
1:41:58EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月26日ポッドキャストA thousand people on guard, a million in the sprintホスト Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.セキュリティと安全性安全性とガバナンスAI Strategy+3
45:33EN
Sequoia Capital· 2026年5月26日ポッドキャスト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.インフラとデプロイDistributed training & inferenceReinforcement Learning+3
スライド 8 枚31:22EN
Matthew Berman· 2026年5月26日Cursor Composer 2.5 and the Economics of Coding ModelsMatthew Berman, Sundar Pichai · Forward FutureMatthew Berman examines coding benchmarks, model costs and enterprise budgets, then considers Cursor’s partnership with SpaceX and Anthropic’s demand for compute.コーディングエージェントAI cost & performanceBenchmarks+2
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