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3,516 件
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1:25:00EN
20VC with Harry Stebbings· 2026年6月13日ポッドキャスト · 2 人Matan Grinberg on AI Coding, Token Costs and Building Factoryゲスト Matan Grinberg · ホスト Harry StebbingsFactory’s CEO discusses enterprise AI budgets, model choice, engineering culture and the uncertain effects of automation on work.コーディングエージェントAI cost & performanceエンタープライズ AI+2
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月13日ポッドキャストFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overホスト Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.セキュリティと安全性安全性とガバナンスエージェント工学+3
1:06:36EN
Unsupervised Learning: With Jacob Effron· 2026年6月12日ポッドキャストBills Doubled Overnight. Next, the APIs Might Vanish.ホスト Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.企業と戦略AI StrategyOpen-source ecosystems+3
1:15:56EN
20VC with Harry Stebbings· 2026年6月11日ポッドキャスト · 3 人20VC on IPO Expectations, Lean AI Startups and Investor Riskゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported listings, AI company economics and the changing cost of building a startup.Venture CapitalInvestingAI startups & small teams+2
スライド 2 枚1:00EN
Matthew Berman· 2026年6月11日Building a Bitzee-Inspired Virtual Pet With a Raspberry Pi PicoMatthew Berman · Forward FutureMatthew Berman shows a prototype made with his son, a Pico development kit and AI-assisted coding.コーディングエージェントProduct Design
51:09EN
Sequoia Capital· 2026年6月11日ポッドキャストBuild like the model will eat your harness in a yearLogan Kilpatrick, who leads Google AI Studio and the Gemini API, tells Sequoia's Sonya Huang why agent scaffolding is a 12-month asset, why coding already feels like narrow superintelligence, and why Google is optimizing for outcomes instead of eyeballs.エージェントエージェント工学Harness engineering+3
1:45:59EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月10日ポッドキャスト87% of Workers Use AI. Only 13% Say the Company Got Better.ホスト Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.企業と戦略エンタープライズ AIHuman-AI Collaboration+3
スライド1:21EN
Matthew Berman· 2026年6月10日Higgsfield Supercomputer: An Espresso Video PromptMatthew Berman · Forward FutureMatthew Berman demonstrates a workflow that uses a reference video and a prompt to create an advertisement.Generative mediaAI in sales & marketing
41:20EN
Sequoia Capital· 2026年6月10日ポッドキャストA $4 Million Cabinet and a Trillion-Dollar Year: Jensen Huang Turns the AI Factory Into a Manufacturing StoryOn Sequoia's Training Data stage, NVIDIA's CEO walks a sixty-country audience from ChatGPT's parlor tricks to agentic work, a five-layer industrial cake, and why radiology hiring went up.インフラとデプロイAI StrategyAI cost & performance+3
スライド 5 枚1:48:47EN
Matthew Berman· 2026年6月9日Claude 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.コーディングエージェントBenchmarksAI cost & performance+2
スライド 3 枚12:59EN
Matthew Berman· 2026年6月9日Coding-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 orchestrationコーディングエージェントWorkflow automation+2
スライド 5 枚28:16EN
Matthew Berman· 2026年6月9日Claude 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.AnthropicコーディングエージェントAI cost & performance+2
0:16EN
Matthew Berman· 2026年6月9日A 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.コーディングエージェントAgent orchestrationComedy
1:14:30EN
20VC with Harry Stebbings· 2026年6月8日ポッドキャスト · 2 人Roman Chernin on AI Compute Demand, Inference and Infrastructureゲスト Roman Chernin · ホスト Harry StebbingsNebius’s co-founder discusses customer demand, GPU economics, managed inference and the risks of a concentrated market.インフラとデプロイInferenceAI cost & performance+2
57:42EN
20VC with Harry Stebbings· 2026年6月6日ポッドキャスト · 2 人Jacob Lauritzen on AI Engineering, Legal Work and Building Legoraゲスト Jacob Lauritzen · ホスト Harry StebbingsLegora’s CTO discusses code review, token budgets, enterprise adoption and how legal workflows might change.Software engineeringエンタープライズ AIコーディングエージェント+2
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月6日ポッドキャストA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakesホスト 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.セキュリティと安全性安全性とガバナンスAI research+3
スライド 6 枚44:52EN
Matthew Berman· 2026年6月5日Anthropic’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· 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
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