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51:31EN
Sequoia Capital· 2026년 7월 21일팟캐스트They 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.코딩 에이전트Harness engineeringModel routing & gateways+3
슬라이드 4장27:13EN
Matthew Berman· 2026년 7월 21일Kimi 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· 2026년 7월 20일팟캐스트 · 2명Lin Qiao on Specialized AI, Open Models and the Economics of Inference게스트 Lin Qiao · 진행자 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· 2026년 7월 19일Anthropic, 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 & performance인프라와 배포AI Strategy+1
슬라이드 7장12:12EN
Matthew Berman· 2026년 7월 18일Kimi 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
슬라이드 9장57:39EN
Theo - t3․gg· 2026년 7월 18일Fable 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.코딩 에이전트AI cost & performance개발 워크플로와 테스트+2
1:29:35EN
20VC with Harry Stebbings· 2026년 7월 18일팟캐스트 · 2명Fred Turner on Curative’s Pandemic Pivot, Health Insurance and AI Automation게스트 Fred Turner · 진행자 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
슬라이드0:25EN
Matthew Berman· 2026년 7월 17일Kimi 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 modelsBenchmarks코딩 에이전트+1
슬라이드 11장41:35EN
Theo - t3․gg· 2026년 7월 17일Kimi 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.코딩 에이전트Open-weight modelsAI cost & performance+2
1:13:48EN
Unsupervised Learning: With Jacob Effron· 2026년 7월 16일팟캐스트Carriers Spend $200 Billion a Year. The Money Went Up the Stack진행자 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.기업과 전략AI Strategy엔터프라이즈 AI+3
51:38EN
Sources Podcast· 2026년 7월 16일팟캐스트 · 2명Tolan Founder Quinten Farmer on AI Guides, Real Relationships and Building a Calm Company게스트 Quinten Farmer · 진행자 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· 2026년 7월 16일팟캐스트 · 2명Kay Ke on Physical Intelligence, Robot Learning, and the Future of Robotics게스트 Kay Ke · 진행자 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
슬라이드 9장30:48EN
Theo - t3․gg· 2026년 7월 16일Why 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.코딩 에이전트Agent orchestration개발 워크플로와 테스트+2
1:26:12EN
20VC with Harry Stebbings· 2026년 7월 16일팟캐스트 · 3명20VC Roundtable on AI Competition, Enterprise Spending and Venture Capital게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss a reported Apple lawsuit, AI pricing, memory markets and venture financing.엔터프라이즈 AIAI cost & performanceVenture Capital+2
슬라이드 12장1:00:06EN
Theo - t3․gg· 2026년 7월 15일Bun’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 engineering코딩 에이전트Programming Languages+2
1:18EN
Matthew Berman· 2026년 7월 15일AI 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· 2026년 7월 15일DeepSeek 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.Semiconductors인프라와 배포Geopolitics
1:03EN
Matthew Berman· 2026년 7월 15일Reported 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
슬라이드 5장1:00:47EN
Matthew Berman· 2026년 7월 15일AI 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.코딩 에이전트Open-weight modelsAI cost & performance+2
33:16EN
Reid Hoffman· 2026년 7월 15일팟캐스트 · 3명Ben Hansford on AI Filmmaking, a Talking Raccoon and the Work Beneath a Prototype게스트 Ben Hansford · 진행자 Reid Hoffman, Parth PatilThe commercial director describes using AI in treatments and effects, building a comics platform and teaching filmmakers to direct new systems.Creativity멀티모달과 미디어AI agents+1
48:55EN
Sequoia Capital· 2026년 7월 14일팟캐스트Anthropic'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.에이전트에이전트 엔지니어링Agent orchestration+3
슬라이드 9장25:58EN
Theo - t3․gg· 2026년 7월 14일Theo on Codex Ultra: Reasoning Effort, Sub-Agents and UsageTheo Browne · Ping LabsTheo examines the Ultra mode he tested, its effect on multi-agent work, and why he prefers explicit workflow stages.코딩 에이전트Agent orchestrationAI cost & performance+2
슬라이드0:28EN
Theo - t3․gg· 2026년 7월 14일Theo on Why the Codex Brand Resonated with DevelopersTheo Browne · Ping LabsTheo argues that Codex’s identity as a developer-focused product mattered to users as AI labs broadened their products.코딩 에이전트Product StrategyDeveloper productivity
슬라이드 5장15:48EN
Matthew Berman· 2026년 7월 14일Matthew Berman’s Codex Workflow: Models, Threads, Goals and SafetyMatthew Berman · Forward FutureBerman shares his July 2026 approach to model selection, browser work, reusable skills, long-running goals, remote access and guardrails.코딩 에이전트개발 워크플로와 테스트Agent skills+2
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