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41:05EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 9일팟캐스트 · 2명There is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbers진행자 Sarah Guo, Elad GilGlenn Fogel cashed his 1999 bonus, joined Priceline in February 2000, and watched the Nasdaq peak a week later — then spent 25 years turning a near-delisting into a thousand-fold ride he now wants to spend on AI travel agents.기업과 전략엔터프라이즈 AIAI Strategy+3
슬라이드 2장1:06EN
Matthew Berman· 2026년 7월 9일Two GPT-5.6 Coding Demos: A Block World and a SpreadsheetMatthew Berman · Forward FutureMatthew Berman shows a Minecraft-like game and an Excel-like application built with Codex and GPT-5.6.코딩 에이전트Computer useDeveloper productivity
0:20EN
Theo - t3․gg· 2026년 7월 8일Theo on Guilt-Merging Pull Requests and Questioning CodeTheo Browne · Ping LabsA short reflection on why developers sometimes accept changes they do not think are right.Code review & verificationSoftware engineeringCoding Culture
슬라이드 8장25:34EN
Matthew Berman· 2026년 7월 8일Anthropic’s J-Space Research: What Its Experiments Reveal and What Remains UnknownMatthew Berman · Forward FutureMatthew Berman examines experiments on internal representations in Claude, from causal interventions to safety auditing and the limits of consciousness claims.Model InterpretabilityAI researchAI Safety+2
1:53EN
Matthew Berman· 2026년 7월 8일What Anthropic’s J-Space Research Suggests About AI ReasoningMatthew Berman · Forward FutureMatthew Berman discusses internal model representations, interventions and the question of consciousness, while the research itself describes important limits.Model InterpretabilityReasoning & test-time computeConsciousness & Intelligence
슬라이드 7장28:11EN
Theo - t3․gg· 2026년 7월 7일The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.Local inferenceOpen-weight modelsAI cost & performance+2
0:22EN
Theo - t3․gg· 2026년 7월 7일Theo Asks Why Teams Need a Separate System for Environment FilesTheo Browne · Ping LabsA brief prompt to reconsider how development teams share environment configuration.개발 워크플로와 테스트보안과 안전Software engineering
55:19EN
Sequoia Capital· 2026년 7월 7일팟캐스트The drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.인프라와 배포RoboticsAutonomous Systems+3
슬라이드0:24EN
Matthew Berman· 2026년 7월 7일Claude Fable 5 Access Extended Through July 12, 2026Matthew Berman · Forward FutureMatthew Berman reports a short extension for paid Claude subscribers, without a reset of their existing usage quota.모델과 학습
슬라이드 3장18:34EN
Matthew Berman· 2026년 7월 7일Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.AI cost & performance에이전트 엔지니어링Developer productivity
4:41EN
Jane Street· 2026년 7월 6일Inside Jane Street’s Internship: Projects, Mentorship and LearningCody · Jane StreetInterns and employees describe collaborative interviews, learning finance from the basics, and working on projects used by the firm.CareersCompany CultureMachine Learning+1
슬라이드0:20EN
Theo - t3․gg· 2026년 7월 6일Theo on Markdown Files as Instructions for Coding AgentsTheo Browne · Ping LabsA short observation about how agent tools can change the scale of a software idea.코딩 에이전트Product Strategy에이전트 엔지니어링
1:11:01EN
20VC with Harry Stebbings· 2026년 7월 6일팟캐스트 · 2명Mike Mignano on AI Applications, Open Models and Venture Strategy게스트 Mike Mignano · 진행자 Harry StebbingsThe USV partner discusses AI agents, token spending and the opportunities and risks for startups building above the model layer.Venture CapitalAI StrategyAI agents+2
슬라이드 8장43:15EN
Theo - t3․gg· 2026년 7월 6일Theo’s Fable 5 Workflow: Model Routing, PR Review, and VerificationTheo Browne · Ping LabsA practical walkthrough of delegating tasks across models and turning a stalled backlog into reviewed work, with cost and deployment boundaries.코딩 에이전트Agent orchestration개발 워크플로와 테스트+2
1:11:53EN
20VC with Harry Stebbings· 2026년 7월 4일팟캐스트 · 2명Sierra Co-founder Clay Bavor on Open Models, Enterprise AI and Building Teams게스트 Clay Bavor · 진행자 Harry StebbingsBavor discusses model selection and compute costs, deploying AI agents for enterprises, and how Sierra approaches hiring and company culture.엔터프라이즈 AIOpen-weight modelsAI agents+2
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 4일팟캐스트19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip진행자 Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.모델과 학습Local inferenceScaling Laws+3
슬라이드 7장23:24EN
Theo - t3․gg· 2026년 7월 4일Fable 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.코딩 에이전트안전과 거버넌스AI cost & performance+2
0:28EN
Theo - t3․gg· 2026년 7월 3일Theo on the AI Bubble and the Value Beneath ItTheoTheo thinks AI is in a bubble, but says its underlying value remains an open question. He contrasts NFTs with the internet and its dot-com bust.AI StrategyInvesting
슬라이드 4장38:05EN
Theo - t3․gg· 2026년 7월 3일Why Theo Moved His Agent Work to Linux MachinesTheoLong-running coding agents, laptop CPU load and slow small-file operations led Theo to build a networked fleet. He demonstrates SSH, a hardware KVM and T3 Code for remote work.코딩 에이전트개발 워크플로와 테스트인프라와 배포+1
슬라이드 9장18:02EN
AI Explained· 2026년 7월 2일Fable 5 and GPT-5.6 Sol: An Early Look at Capability, Price and SafetyWith Sol still in limited preview, AI Explained compares the available system cards and examines access restrictions and safety tradeoffs.모델과 학습BenchmarksAI Safety+1
1:18:07EN
20VC with Harry Stebbings· 2026년 7월 2일팟캐스트 · 3명20VC Roundtable: AI Spending, Model Competition and Software Acquisitions게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate enterprise AI returns, prediction markets, SaaS roll-ups and the cost of raising capital.AI cost & performanceVenture Capital엔터프라이즈 AI+2
1:01:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 2일팟캐스트 · 2명Two Years and Four Months to a Live Reactor: Valar Atomics Wants Energy Ten Times Cheaper진행자 Sarah Guo, Elad GilIsaiah Taylor walks Sarah Guo through Ward 250 in Utah and argues that nuclear is a hardware-iteration problem, not a paper-design one.인프라와 배포Company Building안전과 거버넌스+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 1일팟캐스트From 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Explore진행자 Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.기업과 전략파인튜닝Agent orchestration+3
슬라이드 6장28:37EN
Theo - t3․gg· 2026년 7월 1일Theo Tests Sonnet 5 and Explains Fable’s ReturnTheoTheo compares model benchmarks and his own coding tests, finding promise in Sonnet’s subagent orchestration but questioning its task costs.Anthropic코딩 에이전트Agent orchestration+2
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