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罗永浩的十字路口· 9 jun 2026Pódcast · 3 voces小块讲路怒冲突:罗永浩与嘉宾如何把退让讲成喜剧Invitado: 小块 · Presenta: 罗永浩一辆逆行的车、一口痰和一套“幸福者退让原则”,引出一场关于理智与自我安慰的现场抬杠。ComedyStorytelling
5 diapositivas1:48:47EN
Matthew Berman· 9 jun 2026Claude Fable 5 Launch: Live Coding Tests, Costs and SafeguardsMatthew Berman · Forward FutureMatthew Berman reviews a week of early use, troubleshoots the launch-day rollout, and tests browser apps and open mathematical problems live.Agentes de programaciónBenchmarksAI cost & performance+2
3 diapositivas12:59EN
Matthew Berman· 9 jun 2026Coding-Agent Loops: Triggers, Goals and the Cost of RepetitionMatthew Berman, Boris Cherny · Forward FutureMatthew Berman explains event-triggered and scheduled agent workflows, shows examples in Cursor and Claude Code, and considers their limits.Agent orchestrationAgentes de programaciónWorkflow automation+2
5 diapositivas28:16EN
Matthew Berman· 9 jun 2026Claude Fable 5 and Mythos 5: Matthew Berman Reviews Long-Running Coding WorkMatthew Berman · Forward FutureAn early Fable 5 user examines Anthropic’s benchmarks, safety controls, pricing and coding workflows, then demonstrates a Rubik’s Cube and a fluid simulation.AnthropicAgentes de programaciónAI cost & performance+2
0:16EN
Matthew Berman· 9 jun 2026A Skit About Trying to Keep Up With AI NewsMatthew Berman · Forward FutureMatthew Berman jokes about the feeling of catching up just as another coding-agent discussion appears.Agentes de programaciónAgent orchestrationComedy
1:14:30EN
20VC with Harry Stebbings· 8 jun 2026Pódcast · 2 vocesRoman Chernin on AI Compute Demand, Inference and InfrastructureInvitado: Roman Chernin · Presenta: Harry StebbingsNebius’s co-founder discusses customer demand, GPU economics, managed inference and the risks of a concentrated market.Infraestructura y despliegueInferenceAI cost & performance+2
57:42EN
20VC with Harry Stebbings· 6 jun 2026Pódcast · 2 vocesJacob Lauritzen on AI Engineering, Legal Work and Building LegoraInvitado: Jacob Lauritzen · Presenta: Harry StebbingsLegora’s CTO discusses code review, token budgets, enterprise adoption and how legal workflows might change.Software engineeringIA empresarialAgentes de programación+2
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 6 jun 2026PódcastA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesPresenta: Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.SeguridadSeguridad y gobernanzaAI research+3
6 diapositivas44:52EN
Matthew Berman· 5 jun 2026Anthropic’s Recursive Self-Improvement Report: Evidence, Limits and a Debate Over Slowing AIMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s 2026 claims about AI-assisted development, research benchmarks and possible paths to autonomous self-improvement.AI researchAI SafetyAnthropic+2
1:39:00EN
20VC with Harry Stebbings· 4 jun 2026Pódcast · 3 voces20VC on AI Financing, Token Budgets and the Cost of Startup IntensityInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: 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
10 diapositivas1:31:56EN
Matthew Berman· 4 jun 2026When 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 researchAgentes de programaciónAI Safety+2
42:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 4 jun 2026Pódcast · 2 vocesEvery Company Can Operate at the Frontier — If It Owns the EvalsPresenta: 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.Empresa y estrategiaIA empresarialAI Strategy+3
Diapositivas0:47EN
Matthew Berman· 4 jun 2026Cognition'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 productivityAgentes de programaciónPricing+1
2:59:44EN
Cognitive Revolution "How AI Changes Everything"· 3 jun 2026PódcastTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Presenta: 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.Modelos y entrenamientoContinual learningTransformers & attention+3
1:13:33EN
Unsupervised Learning: With Jacob Effron· 3 jun 2026PódcastA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissPresenta: 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.Modelos y entrenamientoAI researchAgentes de programación+3
6 diapositivas20:12EN
Matthew Berman· 2 jun 2026AI, 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· 2 jun 2026Running 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 agentsInfraestructura y despliegueIngeniería de agentes
40:22EN
Sequoia Capital· 2 jun 2026PódcastBuilding 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.Producto y UXProduct StrategyAI Product Management+3
56:10EN
Unsupervised Learning: With Jacob Effron· 1 jun 2026PódcastReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardPresenta: 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.Empresa y estrategiaAI StrategySeguridad y gobernanza+3
1:14:12EN
20VC with Harry Stebbings· 1 jun 2026Pódcast · 2 vocesBrendan Foody on Mercor, AI Data and the Future of WorkInvitado: Brendan Foody · Presenta: 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· 1 jun 2026Nate 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.Infraestructura y despliegueProgramming LanguagesSoftware engineering+2
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 1 jun 2026PódcastA security researcher audits the AI stack that booked a week of guestsPresenta: Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.AgentesPersonal agentsIngeniería de agentes+3
56:55EN
20VC with Harry Stebbings· 30 may 2026Pódcast · 2 vocesNico Laqua on Corgi’s Work Culture, Fundraising and AIInvitado: Nico Laqua · Presenta: 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
Diapositivas2:22EN
Matthew Berman· 29 may 2026Pioneer 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.Ajuste finoEvaluacionesLocal inference+2
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