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Slides0:45EN
Theo - t3․gg· Jul 13, 2026Theo Reacts to the ChatGPT Work App RedesignTheo Browne · Ping LabsTheo examines a desktop interface that brings Codex and ChatGPT together and questions the new placement of chat.Product & UXCoding agentsProduct Strategy
1:04:36EN
20VC with Harry Stebbings· Jul 13, 2026Podcast · 2 speakersWix CEO Avishai Abrahami on Base44, AI and Building for Small BusinessesGuest Avishai Abrahami · Host Harry StebbingsThe Wix co-founder discusses AI-assisted application building, software economics, customer support and leadership through market uncertainty.SaaSVibe CodingProduct Strategy+2
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· Jul 12, 2026PodcastDavidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment TargetHost Nathan LabenzThe former ARIA Safeguarded AI director tells Cognitive Revolution why boxing superintelligence is too late, why he thinks models are climbing a U-shaped wisdom curve, and why the remaining risk is a race you cannot monitor.Security & safetySafety & governanceAGI+3
6 slides36:00EN
Theo - t3․gg· Jul 12, 2026GPT-5.6 Reviewed: Strengths, Costs, and Coding-Agent TradeoffsTheo Browne · Ping LabsTheo Browne assesses Sol, Terra and Luna through benchmark results and hands-on coding experience.Coding agentsAI cost & performanceEvals+2
6 slides26:50EN
Theo - t3․gg· Jul 11, 2026Why Theo Thinks the Codex App Rebrand Misses Its Developer CommunityTheo Browne · Ping LabsThe unified ChatGPT desktop app adds useful agent features, but Theo Browne worries that a developer-focused identity is being lost.Coding agentsProduct StrategyProduct & UX+2
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20VC with Harry Stebbings· Jul 11, 2026Podcast · 2 speakersArvind Jain on Enterprise AI, Open Models and the Future of WorkGuest Arvind Jain · Host Harry StebbingsThe Glean founder debates model competition, enterprise AI returns and whether productivity gains will shrink teams or raise the bar for everyone.Enterprise AIAI agentsOpen-weight models+2
6 slides26:09EN
Theo - t3․gg· Jul 10, 2026What Theo Built with GPT-5.6 During Six Weeks of Early AccessTheo Browne · Ping LabsFrom mobile rewrites to a compiler prototype and remote machine repair, Theo Browne shares unusually large-scale experiments and their limits.Coding agentsComputer useDeveloper workflows & testing+2
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Theo - t3․gg· Jul 10, 2026Three Eras of AI Coding Agents: Tool Calls, Long Tasks, and OrchestrationTheo Browne · Ping LabsTheo Browne uses three model releases to explain how he sees coding agents developing.Coding agentsAgent orchestrationModels & training
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Theo - t3․gg· Jul 9, 2026Theo on Why Natural Language Does Not Belong in a TerminalTheo Browne · Ping LabsA brief argument that developers’ attachment to familiar terminals can shape how they imagine new interfaces.AI interface designDeveloper workflows & testingCoding Culture
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· Jul 9, 2026PodcastZero the J-Space and a Model's Hidden Goal Lights Up on Token OneHost Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.Models & trainingModel InterpretabilitySafety & governance+3
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Sources Podcast· Jul 9, 2026Podcast · 3 speakersJon Steinback on Marker, AI and the Thinking Behind WritingGuest Jon Steinback · Host Alex Heath, Ellis HamburgerThe Marker founder argues for an editor that asks questions instead of writing for the user; the hosts examine where AI fits in their own work.Product DesignCreativityAI Product Management+1
6 slides24:43EN
Theo - t3․gg· Jul 9, 2026Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.Coding agentsEvalsAI cost & performance+2
50:57EN
Unsupervised Learning: With Jacob Effron· Jul 9, 2026PodcastA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberHost Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.Models & trainingAGIAI research+3
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20VC with Harry Stebbings· Jul 9, 2026Podcast · 3 speakers20VC on AI Regulation, Compute Economics and Enterprise AdoptionGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported AI policy proposals, infrastructure spending, software deployment and startup liquidity.AI StrategyVenture CapitalEnterprise AI+2
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No Priors: AI, Machine Learning, Tech, & Startups· Jul 9, 2026Podcast · 2 speakersThere is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbersHost 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.Enterprise & strategyEnterprise AIAI Strategy+3
2 slides1:06EN
Matthew Berman· Jul 9, 2026Two 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.Coding agentsComputer useDeveloper productivity
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Theo - t3․gg· Jul 8, 2026Theo 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
8 slides25:34EN
Matthew Berman· Jul 8, 2026Anthropic’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
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Matthew Berman· Jul 8, 2026What 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
7 slides28:11EN
Theo - t3․gg· Jul 7, 2026The 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
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Theo - t3․gg· Jul 7, 2026Theo Asks Why Teams Need a Separate System for Environment FilesTheo Browne · Ping LabsA brief prompt to reconsider how development teams share environment configuration.Developer workflows & testingSecurity & safetySoftware engineering
55:19EN
Sequoia Capital· Jul 7, 2026PodcastThe 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.Infrastructure & deploymentRoboticsAutonomous Systems+3
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Matthew Berman· Jul 7, 2026Claude 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.Models & training
3 slides18:34EN
Matthew Berman· Jul 7, 2026Model 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 & performanceAgent engineeringDeveloper productivity
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