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3,636 件
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35:31EN
Reid Hoffman· 2026年7月22日ポッドキャスト · 3 人Will Weinbach on Autonomous Social Media Agents and Learning by Experimentゲスト Will Weinbach · ホスト Reid Hoffman, Parth PatilThe social strategist explains his content workflow, an unexpected 4 a.m. posting spree, and why young creators should show what they can build.AI in sales & marketingAI agentsWorkflow automation+1
スライド 5 枚24:11EN
Theo - t3․gg· 2026年7月22日Theo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.コーディングエージェントCode review & verification開発ワークフローとテスト+2
スライド 5 枚19:12EN
Theo - t3․gg· 2026年7月21日Theo on Boris Cherny’s Advice for Engineering with AI AgentsTheo Browne · Ping LabsTheo argues that the skills behind good tooling, tests and onboarding remain valuable when agents join the development workflow.エージェント工学Developer productivityAgent skills+2
51:31EN
Sequoia Capital· 2026年7月21日ポッドキャストThey Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.コーディングエージェントHarness engineeringModel routing & gateways+3
スライド 4 枚27:13EN
Matthew Berman· 2026年7月21日Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
1:28:42EN
20VC with Harry Stebbings· 2026年7月20日ポッドキャスト · 2 人Lin Qiao on Specialized AI, Open Models and the Economics of Inferenceゲスト Lin Qiao · ホスト Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.InferenceAI cost & performanceOpen-weight models+2
1:52EN
Matthew Berman· 2026年7月19日Anthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.AI cost & performanceインフラとデプロイAI Strategy+1
スライド 7 枚12:12EN
Matthew Berman· 2026年7月18日Kimi K3: Coding Benchmarks, Cost and the Open-Weight AI RaceMatthew Berman · Forward FutureMatthew Berman examines Kimi K3’s early benchmark results, its cost per task and a Rubik’s Cube simulator, while weighing their limits.Open-weight modelsBenchmarksAI cost & performance+2
スライド 9 枚57:39EN
Theo - t3․gg· 2026年7月18日Fable 5 vs GPT-5.6 Sol: Theo on Cost, Coding and Model JudgmentTheo Browne · Ping LabsTheo compares two coding models through benchmarks, design work and long-running tasks, explaining why his favorite model is not always the one he uses first.コーディングエージェントAI cost & performance開発ワークフローとテスト+2
1:29:35EN
20VC with Harry Stebbings· 2026年7月18日ポッドキャスト · 2 人Fred Turner on Curative’s Pandemic Pivot, Health Insurance and AI Automationゲスト Fred Turner · ホスト Harry StebbingsCurative’s CEO recounts building a COVID testing operation, moving into health insurance and using AI agents across the company’s workflows.AI in healthcareEntrepreneurshipWorkflow automation+2
スライド0:25EN
Matthew Berman· 2026年7月17日Kimi K3 Leads a Front-End Coding RankingMatthew Berman · Forward FutureMatthew Berman highlights Moonshot AI’s 2.8-trillion-parameter model and its early Arena result. The ranking covers one task, and the model weights followed after the video.Open-weight modelsBenchmarksコーディングエージェント+1
スライド 11 枚41:35EN
Theo - t3․gg· 2026年7月17日Kimi K3 in Practice: Coding, Visual Work, Cost and LimitationsTheo Browne · Ping LabsTheo tests Moonshot’s planned open-weight model on long coding tasks, UI design and a 3D game, while examining benchmarks and security concerns.コーディングエージェントOpen-weight modelsAI cost & performance+2
1:13:48EN
Unsupervised Learning: With Jacob Effron· 2026年7月16日ポッドキャストCarriers Spend $200 Billion a Year. The Money Went Up the Stackホスト Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.企業と戦略AI Strategyエンタープライズ AI+3
51:38EN
Sources Podcast· 2026年7月16日ポッドキャスト · 2 人Tolan Founder Quinten Farmer on AI Guides, Real Relationships and Building a Calm Companyゲスト Quinten Farmer · ホスト Ellis HamburgerFarmer explains the alien character’s design, user-reported outcomes and premium pricing—and why he wants it to challenge users as well as listen.AI agentsProduct DesignCompany Building+1
3:46:12EN
Zhang Xiaojun Podcast· 2026年7月16日ポッドキャスト · 2 人Kay Ke on Physical Intelligence, Robot Learning, and the Future of Roboticsゲスト Kay Ke · ホスト 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.RoboticsReinforcement LearningAI research+2
スライド 9 枚30:48EN
Theo - t3․gg· 2026年7月16日Why Theo Runs GPT-5.6 Sol in Claude CodeTheo Browne · Ping LabsA hands-on comparison of coding-agent workflows, historical system prompts and the practical limits of changing a model’s harness.コーディングエージェントAgent orchestration開発ワークフローとテスト+2
1:26:12EN
20VC with Harry Stebbings· 2026年7月16日ポッドキャスト · 3 人20VC Roundtable on AI Competition, Enterprise Spending and Venture Capitalゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss a reported Apple lawsuit, AI pricing, memory markets and venture financing.エンタープライズ AIAI cost & performanceVenture Capital+2
スライド 12 枚1:00:06EN
Theo - t3․gg· 2026年7月15日Bun’s Rust Port and the Dispute with Zig’s CreatorTheo Browne · Ping LabsTheo examines the engineering behind Bun’s AI-assisted rewrite and the contested response from Zig creator Andrew Kelley.Software engineeringコーディングエージェントProgramming Languages+2
1:18EN
Matthew Berman· 2026年7月15日AI News Live: A Brief Interrupted OpeningThe Forward Future team starts a live broadcast, checks its stream and introduces a planned OpenAI hardware topic before the recording ends.AI Adoption
0:42EN
Matthew Berman· 2026年7月15日DeepSeek and Zhipu Reportedly Explore Custom AI ChipsMatthew Berman · Forward FutureMatthew Berman discusses 2026 reports of Chinese model developers pursuing their own processors and the strategic appeal of controlling more of their AI infrastructure.SemiconductorsインフラとデプロイGeopolitics
1:03EN
Matthew Berman· 2026年7月15日Reported Chinese AI Export Discussions and a Strategic DebateMatthew Berman · Forward FutureMatthew Berman considers reported restrictions on overseas access to Chinese AI models and questions whether limiting their distribution would serve China’s interests.AI RegulationGeopoliticsOpen-weight models
スライド 5 枚1:00:47EN
Matthew Berman· 2026年7月15日AI News Live: A Codex Keyboard, Open Models and Agent Safety ResearchMatthew Berman, Alex, Brian · Forward FutureMatthew Berman, Alex and Brian discuss new tools, model costs and a research report, separating initial impressions from verified results.コーディングエージェントOpen-weight modelsAI cost & performance+2
33:16EN
Reid Hoffman· 2026年7月15日ポッドキャスト · 3 人Ben Hansford on AI Filmmaking, a Talking Raccoon and the Work Beneath a Prototypeゲスト Ben Hansford · ホスト Reid Hoffman, Parth PatilThe commercial director describes using AI in treatments and effects, building a comics platform and teaching filmmakers to direct new systems.CreativityマルチモーダルとメディアAI agents+1
48:55EN
Sequoia Capital· 2026年7月14日ポッドキャストAnthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.エージェントエージェント工学Agent orchestration+3
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