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3,660 件並び順
32:53EN
Theo - t3․gg· 2026年6月11日Theo’s Fable 5 Review: Benchmarks, Real Projects, and LimitsTheoTheo tests a newly released model on coding and creative work, highlighting impressive results alongside failures, safeguards and cost.
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.
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.
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.
23:21ENTheo - t3․gg· 2026年6月9日Why the AI Compute Crunch Makes Early GPU Purchases ValuableTheoTheo traces the constraints behind AI computing, from chip fabrication and memory to storage and electricity.
1:48:47ENMatthew 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.
12:59ENMatthew 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.
28:16ENMatthew 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.
0:16ENMatthew 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.
44:57ENTheo - t3․gg· 2026年6月8日Theo on Anthropic’s Case for Preparing for AI Self-ImprovementTheoAn examination of internal productivity evidence, uncertain AI futures and the challenge of coordinating a pause.
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.
30:11ENTheo - t3․gg· 2026年6月6日What Cloudflare’s VoidZero Acquisition Could Mean for Vite and AI DeploymentTheoTheo examines the developer experience behind the deal and demonstrates his own unreleased cloud project.
57:42EN20VC 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.
1:22:36ENCognitive 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.
44:52ENMatthew 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.
1:39:00EN20VC 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.
18:56ENTheo - t3․gg· 2026年6月4日Why Programmer Laziness Still Matters in the Age of AITheo, Bryan CantrillTheo reads Bryan Cantrill’s essay on abstraction, code volume and the human responsibility to make software simpler.
1:31:56ENMatthew 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.
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.
0:47ENMatthew 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.
2:59:44ENCognitive 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.
20:29ENTheo - t3․gg· 2026年6月3日How Prompts Become Technical Debt in AI CodingTheoTheo examines outdated agent instructions, model-specific behavior and the value of regularly auditing project guidance.
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.
20:12ENMatthew 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.もっと見る3,660 件中 24 件を表示