絞り込み結果
3,714 件並び順
2:30EN
Theo - t3․gg· 2026年6月12日Theo’s First Look at Fable 5 and Its BenchmarksTheoTheo discusses the relationship between Fable and Mythos, benchmark refusals and early coding results.
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.
0:38ENTheo - t3․gg· 2026年6月12日Theo’s Fable Workflow Hit Subscription Limits and Usage CostsTheoTheo describes a costly usage-based run and an unfinished workflow that exhausted two session limits.
30:40ENTheo - t3․gg· 2026年6月12日Theo on Agent Workflows, Usage Limits, and Building MoreTheoTheo demonstrates multi-agent PR reviews, ranked work queues and remote development while reflecting on cost, verification and sleep.
0:55ENTheo - t3․gg· 2026年6月12日Theo on Why He Created the T3 StackTheoBefore his AI coverage, Theo built create-t3-app to make full-stack type safety easier to use and explain.
0:27ENTheo - t3․gg· 2026年6月11日Theo on the Three Virtues of Great ProgrammersTheoLaziness, impatience and hubris sound like flaws, but Theo explains how they can motivate useful automation.
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.
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.
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.
32:53ENTheo - 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.
1:21ENMatthew 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.
41:20ENSequoia 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.
1:14:30EN20VC 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.もっと見る3,714 件中 24 件を表示