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4,209 件
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29:49EN
Y Combinator· 2026年9月26日Robot-Use Agents: Can General Models Control Different Robots?Francois, Hanmin, Vincent, JayResearchers and startup founders discuss code as policies, reusable skills, evaluation and the limits of current demonstrations.RoboticsAI agentsモデルと学習
2:50:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月26日ポッドキャストThey Priced the Chance She Would Leave. Then They Handed Her the Letter.ホスト Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.セキュリティと安全性安全性とガバナンスHuman-AI Collaboration+3
スライド 6 枚28:41EN
Theo - t3․gg· 2026年9月25日How Theo Uses Opus 5.5 for Longer Coding TasksTheo Browne · T3Clear finish lines, explicit stopping points, steering and independent verification can make long agent runs easier to manage.コーディングエージェントPrompt optimizationAgent orchestration+2
28:24EN
GOTO Conferences· 2026年9月25日Will Briggs on Teaching C++26 and Learning to Read CodeTodd L. Montgomery, Will BriggsA programming teacher discusses AI, concept sequencing, pointers and keeping practice fun.Programming LanguagesSoftware engineeringAI in Education
1:48:57EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月25日ポッドキャストAI Safety's Real Shortage Is Founders, Not Ideasホスト Nathan LabenzHalcyon's Mike McCormick on launching about 30 AI safety, cyber, and biosecurity organizations in three years — and why experienced leaders, not more Google Docs, are the bottleneck.セキュリティと安全性AI SafetyAI startups & small teams+3
スライド 4 枚10:38EN
Matthew Berman· 2026年9月24日Jev Use Cases: Fast Decisions for Search, Email and Dynamic InterfacesMatthew Berman · Forward FutureMatthew Berman explains a decision-oriented AI tool and shows projects that use many low-latency classifications.Workflow automationAI interface designStructured outputs+1
スライド0:31EN
Theo - t3․gg· 2026年9月24日Grok 4.7’s Token Use and the Claims Around Its ReleaseTheo Browne · T3Theo compares Elon Musk’s earlier predictions for Grok 4.7 with selected benchmark results and token counts.モデルと学習評価(Evals)AI cost & performance
42:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月24日ポッドキャスト · 2 人They Paid $7.7 Billion for a Broker — and Intend to Do One Deal a Yearホスト Sarah Guo, Elad GilSequence Holdings co-founder Michael Lee tells No Priors why owning a market leader, not selling it software, is how AI actually remakes an incumbent.企業と戦略エンタープライズ AIAI Strategy+3
スライド 5 枚32:54EN
AI Explained· 2026年9月24日Opus 5.5 and the Race Toward Automated AI ResearchAI Explained weighs model progress against the increasingly difficult task of evaluating and governing recursive self-improvement.AI SafetyAI research安全性とガバナンス+2
1:20:43EN
20VC with Harry Stebbings· 2026年9月24日ポッドキャスト · 3 人AI Agents, Venture Pricing and the Tradeoffs Behind the Funding Boomゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.Venture CapitalAI agentsエンタープライズ AI+2
1:36:37EN
Jane Street· 2026年9月23日Aaron Bauer on Teaching Software Engineering in the Age of AIYaron Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.AI in EducationSoftware engineeringEducation+2
33:28EN
GOTO Conferences· 2026年9月23日Thinking in Platforms: From Developer Tooling to AI AgentsKaspar von Grünberg, Luca GalanteKaspar von Grünberg and Luca Galante discuss internal platforms, adoption and their view of agent infrastructure.AI platform engineeringSoftware engineeringAI agents
スライド 8 枚40:14EN
Theo - t3․gg· 2026年9月23日Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.コーディングエージェントAI cost & performance評価(Evals)+2
39:35EN
Reid Hoffman· 2026年9月23日ポッドキャスト · 2 人Reid Hoffman on AI Warnings and a Dual Mandateホスト Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.AI SafetyAI StrategyFuture of Work
スライド 4 枚31:59EN
Matthew Berman· 2026年9月23日Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
1:28:32EN
The Pragmatic Engineer· 2026年9月23日ポッドキャスト · 2 人Maggie Appleton on Design Engineering in the Age of Agentsゲスト Maggie Appleton · ホスト Gergely OroszSketches, live prototypes and human judgment in collaborative software design.プロダクトと UXSoftware engineeringエージェント工学
スライド 5 枚7:26EN
Matthew Berman· 2026年9月23日GPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.OpenAIAI cost & performanceBenchmarks+2
1:53:13EN
Machine Learning Street Talk· 2026年9月23日ポッドキャスト · 2 人Frank Hutter on TabPFN: Learning to Predict from Tablesゲスト Frank Hutter · ホスト Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.Machine LearningFoundation ModelsData quality & curation
25:30EN
All-In Podcast· 2026年9月23日ポッドキャスト · 3 人Luca Ferrari on Buying Product-Market Fit and Building Bending Spoonsゲスト Luca Ferrari · ホスト Chamath Palihapitiya, Jason CalacanisThe CEO explains the company’s $40,000 beginning, shared technology platform, acquisition criteria and approach to financing.Acquisition StrategyCompany BuildingProduct Strategy+1
スライド 7 枚27:53EN
Theo - t3․gg· 2026年9月22日Grok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 38 枚1:01:33EN
DeepLearningAI· 2026年9月22日Spec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.コーディングエージェントAgent skills開発ワークフローとテスト+2
0:52EN
Matthew Berman· 2026年9月22日Matthew Berman’s Three Sleep Habits and Eight Sleep PodMatthew Berman · Forward FutureBerman describes keeping the bed cool, waking consistently and tracking sleep, while promoting a temperature-adjusting mattress system.Personal GrowthProductivity
スライド 5 枚16:57EN
Matthew Berman· 2026年9月22日Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performanceコーディングエージェント+1
38:51EN
How I AI· 2026年9月22日ポッドキャストClaire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.評価(Evals)プロダクトと UXモデルと学習
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