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4,452 件
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1:05:21EN
Sequoia Capital· 2026年9月15日ポッドキャストThe Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.企業と戦略エンタープライズ AIAI Strategy+3
25:58EN
Machine Learning Street Talk· 2026年9月15日ポッドキャスト · 2 人Ming-Yu Liu on Cosmos 3: World Models, Robot Policies and Simulationゲスト Ming-Yu Liu · ホスト Tim ScarfeThe NVIDIA researcher explains how a multimodal model connects video, language and action, and where simulation might help evaluate robot policies.RoboticsAI researchモデルと学習
スライド0:35EN
Matthew Berman· 2026年9月15日A Five-Day Astra Run Builds a City SimulationMatthew Berman · Forward FutureMatthew Berman shows a city-building game he says Astra produced over five days, and notes that the project remained unfinished.コーディングエージェントVibe CodingSoftware engineering
スライド 8 枚1:02:53EN
Theo - t3․gg· 2026年9月14日Shopify’s Return to Native: What AI Changes for React NativeTheo Browne · T3Theo Browne weighs Shopify’s move to Swift and Kotlin against over-the-air updates, tooling, platform limitations and his own AI-assisted port.Software engineeringコーディングエージェントDeveloper productivity+2
1:42:23EN
Machine Learning Street Talk· 2026年9月14日ポッドキャスト · 2 人Pavan Kumar Reddy on Speech Recognition, Streaming and Voice Systemsゲスト Pavan Kumar Reddy · ホスト Tim ScarfeThe Mistral researcher explains Voxtral, diarization, speech generation and why production audio remains difficult.音声 AIMultimodal AIモデルと学習+2
1:16:29EN
20VC with Harry Stebbings· 2026年9月14日ポッドキャスト · 2 人David Morehead on Endowment Liquidity, Venture Returns and Portfolio Constructionゲスト David Morehead · ホスト Harry StebbingsBaylor University’s chief investment officer explains how his team balances private assets, public markets and spending needs, and why time matters as much as a return multiple.InvestingVenture CapitalLeadership
スライド0:31EN
Matthew Berman· 2026年9月14日After Hours: A 3D City Rendered in ASCIIMatthew Berman · Forward FutureMatthew Berman shows a generated city made of text characters and says it was built with Astra.コーディングエージェントGenerative mediaVibe Coding
3:35:04EN
Acquired· 2026年9月14日ポッドキャスト · 2 人The Home Depot: Founding, Retail Culture and Reinventionホスト Ben Gilbert, David RosenthalAcquired traces the home-improvement retailer from its first stores to modern distribution.Company BuildingStrategy
0:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月14日ポッドキャストBrian Armstrong on Tokenized Assets and Investment Accessゲスト Brian ArmstrongThe Coinbase CEO describes a proposed exchange and makes a prediction.
スライド0:38EN
Matthew Berman· 2026年9月13日A Quick DeepSeek Speed Test and V4.1 Flash API PricingMatthew Berman · Forward FutureMatthew Berman demonstrates a short essay response and reviews the peak and off-peak API rates displayed in September 2026.AI cost & performanceモデルと学習
スライド0:31EN
Matthew Berman· 2026年9月13日The Navier–Stokes Problem and OpenAI’s Claimed SolutionMatthew Berman · Forward FutureMatthew Berman uses a swirling fluid visualization to introduce a million-dollar mathematical problem and OpenAI’s September 2026 announcement.MathematicsPhysicsAI research+1
スライド 7 枚34:48EN
Theo - t3․gg· 2026年9月13日Dario Amodei’s Three-Part Proposal to Pace AI DevelopmentTheo Browne · T3Theo Browne examines a proposal for embedded evaluators, coordination among democracies and eventual international agreements.AI Safety安全性とガバナンスAI Regulation+2
12:42EN
Y Combinator· 2026年9月12日Christina Gilbert’s Guide to Improving Founder-Led OutreachChristina Gilbert · Y CombinatorThe YC visiting partner explains how to choose prospects, write useful messages and learn from replies before automating.Go-to-MarketAI in sales & marketingFounders
1:40:52EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月12日ポッドキャストAstra Cleared the AGI Hurdle. The Auditors Got Three Days.ホスト Nathan LabenzA week of Cognitive Revolution live shows on GPT-6 Astra, OpenAI's pause, Mozilla's Mythos scans, and whether anyone is still steering.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
1:21:52EN
20VC with Harry Stebbings· 2026年9月12日ポッドキャスト · 2 人Matteo Franceschetti on Eight Sleep, AI Teams and the Cost of Ambitionゲスト Matteo Franceschetti · ホスト Harry StebbingsEight Sleep's CEO discusses customer acquisition, hardware economics, AI-assisted operations and the personal trade-offs behind building a company.Company BuildingAI AdoptionProduct Strategy+2
0:22EN
Theo - t3․gg· 2026年9月12日Theo’s Take on GPT-6 Astra: A Next-Generation Model With Rough EdgesTheoTheo praises the model across coding and other tasks while warning that it can still over-engineer and get stuck in loops.モデルと学習AI cost & performanceコーディングエージェント
スライド0:32EN
Matthew Berman· 2026年9月12日DeepSeek’s Rubik’s Cube Demo Fails to Scramble and Solve CorrectlyMatthew Berman · Forward FutureMatthew Berman examines a cube simulation generated with DeepSeek V4.1 Flash through the Codex harness.コーディングエージェント評価(Evals)
スライド 9 枚1:05:45EN
Jane Street· 2026年9月11日Cyrus Omar on Live Programming and a Computational Commons for Humans and AICyrus OmarA demonstration of Hazel shows how immediate feedback, structured collaboration and carefully scoped permissions could support people and AI agents working together.Programming LanguagesHuman-AI Collaboration開発ワークフローとテスト+2
スライド 7 枚16:39EN
Matthew Berman· 2026年9月11日DeepSeek V4.1 Flash: Low-Cost Inference Meets Mixed Results in Practical TestsMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s efficient new open-weight model, its reported benchmarks and API pricing, then tests its speed, coding and visual work. His small set of demos reveals both impressive speed and problems with simulation accuracy.モデルと学習Open-weight modelsAI cost & performance+2
スライド1:16EN
Matthew Berman· 2026年9月11日Anthropic Reports Blocking a Dual-Use Biology RequestMatthew Berman · Forward FutureMatthew Berman discusses one case in Anthropic's 2026 threat report and the difficulty of separating beneficial biology from potential misuse.BiosecurityAI SafetyAnthropic
1:37:01EN
Dwarkesh Patel· 2026年9月11日ポッドキャスト · 4 人AI Researchers Debate Recursive Self-Improvement and Its Bottlenecksゲスト John Schulman, Charlie O’Neill, Beren Millidge · ホスト Dwarkesh PatelJohn Schulman, Charlie O’Neill and Beren Millidge examine generalization, data, continual learning and uncertain timelines.AI researchモデルと学習Reinforcement Learning+1
スライド 9 枚1:16:51EN
Theo - t3․gg· 2026年9月11日Fable 5.1 vs GPT-6 Astra: Theo on Coding, Computer Use and CostTheoTheo compares the models through coding projects, 3D demos and agent workflows, and explains why he uses each for different jobs.コーディングエージェントAI cost & performanceComputer use+2
2:01:54EN
Machine Learning Street Talk· 2026年9月11日ポッドキャスト · 2 人Edward Hughes on AI Scientists, Creativity and Research Replicationゲスト Edward Hughes · ホスト Tim ScarfeA discussion of open-ended discovery, the Replica benchmark and the Faraday agent.AI researchAI agents評価(Evals)+1
スライド0:27EN
Matthew Berman· 2026年9月11日A Simulated Fruit Fly and the Limits of a Brain MapMatthew Berman · Forward FutureA short clip uses a virtual fly and Rubik's Cube to ask what simulations mean for life and identity.NeuroscienceSimulation Hypothesis
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