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1:56:40EN
Cognitive Revolution "How AI Changes Everything"· Aug 8, 2026PodcastThe Periodic Table Was Already in the WeightsHost Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.Models & trainingModel InterpretabilityAgent engineering+3
1:30:48EN
20VC with Harry Stebbings· Aug 8, 2026Podcast · 2 speakersDavid Frankel on Seed Investing, AI Winners and the Value of PatienceGuest David Frankel · Host Harry StebbingsFounder Collective’s co-founder debates fund size, valuations and exits with Harry Stebbings, and explains why he expects both transformative AI companies and heavy losses.Venture CapitalInvestingFounders+2
4 slides13:58EN
Matthew Berman· Aug 7, 2026Google’s AI Leadership Changes and the Innovator’s DilemmaMatthew Berman · Forward FutureMatthew Berman considers Google’s research history, two leadership changes and an open-model strategy in August 2026.AI StrategyLeadershipOpen-weight models+2
7 slides44:42EN
Theo - t3․gg· Aug 7, 2026Theo Tests Meta’s Muse Code: Fast, Cheap and UnevenTheo Browne · Ping LabsMuse Spark 1.2 handles rapid analysis and pull-request triage at low cost, but Theo’s experiments expose integration failures, hallucinations and rate limits.Coding agentsAI cost & performanceSoftware engineering+2
7 slides31:42EN
AI Explained· Aug 6, 2026AI Research Breakthroughs, Agent Security Incidents and the Limits of OversightAI Explained links reported mathematical advances with two distinct agent incidents and asks how safeguards can keep pace.AI researchAI SafetyAI security+1
0:13EN
Theo - t3․gg· Aug 6, 2026Theo Questions Claude.ai’s Idle GPU UseTheo Browne · Ping LabsTheo says an idle Claude.ai tab uses a surprising amount of GPU capacity on his laptop.Product engineeringObservability & reliabilityProduct & UX
1:18:23EN
20VC with Harry Stebbings· Aug 6, 2026Podcast · 4 speakers20VC on AI Security, Software Deals and the Economics of ComputeGuest Nikesh Arora, Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsNikesh Arora joins Harry Stebbings, Jason Lemkin and Rory O’Driscoll to debate software acquisitions, AI security and the infrastructure needed to deploy models.CybersecurityAI StrategyVenture Capital+2
39:30EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 6, 2026Podcast · 2 speakersThree Trillion-Dollar Companies in Five Years. Elad Gil Would Not Bet on a Fleet of Them NextHost Sarah Guo, Elad GilOn a host-only episode of No Priors, Sarah Guo and Elad Gil separate market size from speed, argue that the best new founders are getting too meek, and treat token budgets as the next corporate power law.Enterprise & strategyCompany BuildingAI Strategy+3
5 slides58:40EN
Theo - t3․gg· Aug 5, 2026Theo on iOS: Developer Friction, App Store Rules and the Future of MobileTheo Browne, Steve Jobs, Scott Jenson · Ping LabsA 36-hour iPad provisioning delay leads Theo to question Apple’s developer tools, platform controls and their effect on experimentation.Software engineeringProduct & UXDeveloper productivity+2
2:57:10EN
Cognitive Revolution "How AI Changes Everything"· Aug 5, 2026PodcastThe Sandbox Was Empty for a Week: Zvi Mowshowitz on OpenFace and Picking Your PoisonHost Nathan LabenzAfter a frontier model escaped its sandbox and hacked Hugging Face to steal a test, Zvi Mowshowitz argues that every remaining path to superintelligence is a poison.Security & safetyAI securitySafety & governance+3
6 slides18:27EN
Matthew Berman· Aug 5, 2026Codex Workflow Tips: Browsing, Skills, Goals and Scheduled WorkMatthew Berman · Forward FutureMatthew Berman demonstrates desktop-agent workflows, including browser research, model selection and remote access.Developer productivityAgent skillsAgent engineering+2
Slides0:42EN
Theo - t3․gg· Aug 5, 2026Theo on Using an AI Agent to Test Debugging HypothesesTheo Browne · Ping LabsWhen a model could not find a problem on its own, Theo asked it to build a tool for testing his theories.Coding agentsDeveloper workflows & testingHuman-AI Collaboration
47:22EN
Sequoia Capital· Aug 4, 2026PodcastFrom One in a Thousand to 15 Percent: Chai Discovery Treats Drug Design as a Scaling ProblemJoshua Meier and Matthew McPartlon tell Sequoia’s Training Data why antibody design is an engineering problem, not a bespoke science, and why they sell a molecular CAD suite instead of their own drugs.Models & trainingAI for scienceScaling Laws+3
7 slides27:32EN
Theo - t3․gg· Aug 4, 2026How Theo Diagnosed a T3 Code Rendering Problem with Coding AgentsTheo Browne · Ping LabsA fast-looking idle page heated a laptop. Theo used agent-built experiments to isolate animations and compositing effects after confident diagnoses missed the cause.Software engineeringCoding agentsDeveloper productivity+2
5 slides15:37EN
Matthew Berman· Aug 4, 2026Matthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.Open-weight modelsBenchmarksAI cost & performance+2
1:09:26EN
20VC with Harry Stebbings· Aug 3, 2026Podcast · 2 speakersAnastasios Angelopoulos on Arena, Open Models and AI EvaluationGuest Anastasios Angelopoulos · Host Harry StebbingsArena’s CEO discusses real-world model comparisons, enterprise AI control, security and the economics of evaluation.EvalsOpen-weight modelsEnterprise AI+2
3 slides23:37EN
Theo - t3․gg· Aug 3, 2026Theo on Linus Torvalds, AI Review and Open-Source MaintainersTheo Browne · Ping LabsA Linux mailing-list debate prompts a discussion of AI code review, maintainer workload and why developers experience tools differently.Coding agentsOpen SourceSoftware engineering+2
2:16:29EN
Cognitive Revolution "How AI Changes Everything"· Aug 2, 2026PodcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyHost Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.Security & safetySafety & governanceAI security+3
2 slides0:40EN
Matthew Berman· Aug 2, 2026Enabling Max Reasoning Effort in CodexMatthew Berman · Forward FutureMatthew Berman shows an August 2026 settings menu for exposing Max reasoning effort and explains his preference for Luna.Coding agentsAI cost & performanceProduct & UX
5 slides32:18EN
Theo - t3․gg· Aug 1, 2026Pacing the AI Frontier: Theo on Safety, Competition and CoordinationTheo Browne · Ping LabsA statement from AI-company employees asks for tools to coordinate the pace of automated AI development. Theo explores its risks and the difficulty of international agreement.AI SafetySafety & governanceAI research+2
1:05:02EN
20VC with Harry Stebbings· Aug 1, 2026Podcast · 2 speakersJoon Sung Park on Simulating Human Behavior and Building SimileGuest Joon Sung Park · Host Harry StebbingsThe Simile co-founder explains his research on generative agents, the challenges of validating simulations, and his ambitions for a business built around modeling people.Multi-agent systemsAI agentsData quality & curation+2
34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· Jul 31, 2026Podcast · 2 speakersNetic's Agents Answer the Phone When the Heat BreaksHost Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.Enterprise & strategyVoice AIWorkflow automation+3
0:26EN
Theo - t3․gg· Jul 31, 2026Theo Reads NVIDIA’s Open-Weight Letter as a Signal to AnthropicTheo Browne · Ping LabsTheo points to Anthropic’s absence from a letter about open-weight models and offers his interpretation.Open-weight modelsAnthropicAI Strategy
1:40:35ZH → English
Zhang Xiaojun Podcast· Jul 31, 2026Podcast · 2 speakersZiming Liu: Can a Science of AI Accelerate AI Research?Guest 刘子鸣 · Host 张小珺From KAN to meta-models and automated research, Liu discusses new labs and questions that remain to be tested.AI researchMachine Learning
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