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277 件
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1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月30日ポッドキャストA $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Winホスト Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.セキュリティと安全性AI security安全性とガバナンス+3
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月12日ポッドキャストDavidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment Targetホスト Nathan LabenzThe former ARIA Safeguarded AI director tells Cognitive Revolution why boxing superintelligence is too late, why he thinks models are climbing a U-shaped wisdom curve, and why the remaining risk is a race you cannot monitor.セキュリティと安全性安全性とガバナンスAGI(汎用人工知能)+3
スライド 6 枚36:00EN
Theo - t3․gg· 2026年7月12日GPT-5.6 Reviewed: Strengths, Costs, and Coding-Agent TradeoffsTheo Browne · Ping LabsTheo Browne assesses Sol, Terra and Luna through benchmark results and hands-on coding experience.コーディングエージェントAI cost & performance評価(Evals)+2
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月9日ポッドキャストZero the J-Space and a Model's Hidden Goal Lights Up on Token Oneホスト Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.モデルと学習Model Interpretability安全性とガバナンス+3
スライド 6 枚24:43EN
Theo - t3․gg· 2026年7月9日Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.コーディングエージェント評価(Evals)AI cost & performance+2
スライド 7 枚23:24EN
Theo - t3․gg· 2026年7月4日Fable 5: Theo’s Take on Fallbacks, Subscription Limits, and CostTheo Browne · Ping LabsTheo Browne examines performance claims and shares the cost-saving workflow he used during a limited subscription window.コーディングエージェント安全性とガバナンスAI cost & performance+2
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日ポッドキャスト · 2 人The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Modelsホスト Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.評価とオブザーバビリティ評価(Evals)Benchmarks+3
2:14:33EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月21日ポッドキャストA 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight Washingtonホスト Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.セキュリティと安全性安全性とガバナンス評価(Evals)+3
スライド 9 枚16:11EN
Matthew Berman· 2026年6月19日Seven AI Coding Agent Loops and When to Use ThemMatthew Berman · Forward FutureMatthew Berman explains how triggers, goals and repeatable checks can turn coding tasks into agent workflows, with examples for performance, documentation and product quality.コーディングエージェント開発ワークフローとテストエージェント工学+2
38:45EN
Sequoia Capital· 2026年6月16日ポッドキャストThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.エージェントMulti-agent systemsエージェント工学+3
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
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
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
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
スライド 5 枚32:30EN
Theo - t3․gg· 2026年5月31日Theo Reviews DeepSWE and the Limits of Coding BenchmarksTheoAn investor in DataCurve examines its coding benchmark, the results shown in the video and their limitations.Benchmarks評価(Evals)コーディングエージェント+1
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 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
スライド 7 枚37:30EN
Theo - t3․gg· 2026年5月24日Cursor Composer 2.5: Speed, Coding Benchmarks, and the Limits of EvaluationTheo Browne · T3Theo examines Cursor’s coding model, its training methods, practical performance, and the difficulty of independent testing.コーディングエージェントモデルと学習AI cost & performance+2
スライド 3 枚41:45EN
Matthew Berman· 2026年5月13日AI Cyberattacks and Defenses: What Recent Security Incidents ShowMatthew Berman · Forward FutureMatthew Berman examines supply-chain attacks, AI-assisted vulnerability research and the economics of defending software as models improve.安全性とガバナンスAI Strategyモデルと学習+1
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月6日ポッドキャストCreators Cheer Filler-Word Removal and Boo Generative Videoホスト Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.プロダクトと UXProduct engineeringGenerative media+3
スライド 5 枚27:08EN
Theo - t3․gg· 2026年4月24日GPT-5.5 in Early Use: Capability, Cost and the Challenge of SteeringTheo Browne · T3Theo Browne compares benchmarks with personal project tests and discusses the gap between capability and following intent.コーディングエージェントOpenAIAI cost & performance+2
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月23日ポッドキャスト · 2 人400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIホスト Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.企業と戦略エンタープライズ AIAI Strategy+3
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