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4:41EN
Jane Street· 6 jul 2026Inside 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.
0:20EN
Theo - t3․gg· 6 jul 2026Theo 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.
1:11:01EN
20VC with Harry Stebbings· 6 jul 2026Pódcast · 2 vocesMike Mignano on AI Applications, Open Models and Venture StrategyInvitado: Mike Mignano · Presenta: Harry StebbingsThe USV partner discusses AI agents, token spending and the opportunities and risks for startups building above the model layer.
43:15ENTheo - t3․gg· 6 jul 2026Theo’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.
1:11:53EN20VC with Harry Stebbings· 4 jul 2026Pódcast · 2 vocesSierra Co-founder Clay Bavor on Open Models, Enterprise AI and Building TeamsInvitado: Clay Bavor · Presenta: Harry StebbingsBavor discusses model selection and compute costs, deploying AI agents for enterprises, and how Sierra approaches hiring and company culture.
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 4 jul 2026Pódcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipPresenta: 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.
23:24ENTheo - t3․gg· 4 jul 2026Fable 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.
0:28ENTheo - t3․gg· 3 jul 2026Theo 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.
38:05ENTheo - t3․gg· 3 jul 2026Why 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.
1:18:07EN20VC with Harry Stebbings· 2 jul 2026Pódcast · 3 voces20VC Roundtable: AI Spending, Model Competition and Software AcquisitionsInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate enterprise AI returns, prediction markets, SaaS roll-ups and the cost of raising capital.
1:01:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 jul 2026Pódcast · 2 vocesTwo Years and Four Months to a Live Reactor: Valar Atomics Wants Energy Ten Times CheaperPresenta: 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.
1:29:02ENCognitive Revolution "How AI Changes Everything"· 1 jul 2026PódcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExplorePresenta: Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
28:37ENTheo - t3․gg· 1 jul 2026Theo 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.
2:19ENTheo - t3․gg· 1 jul 2026Theo on Sonnet 5: Agent Orchestration and Token CostsTheoTheo welcomes Sonnet 5's ability to coordinate subagents while questioning its token efficiency. He also discusses the introductory pricing announced at release.
31:30ENTheo - t3․gg· 30 jun 2026Why Some AI Models Use Fewer Tokens to Solve a TaskTheoTheo explains input, output, caching and reasoning tokens, then explores a hypothesis about terse internal reasoning.
0:33ENTheo - t3․gg· 30 jun 2026Theo on Shared AI Conversations and Team CollaborationTheoA shared Claude conversation in Slack lets teammates see and continue the same work. Theo argues that this kind of collaboration differs from a GitHub-centered workflow.
3:51:47EN
Lex Fridman· 30 jun 2026Pódcast · 2 vocesForty-Six Percent of Emperors Were Overthrown. The Empire Lasted AnywayInvitado: Anthony Kaldellis · Presenta: Lex FridmanHistorian Anthony Kaldellis walks Lex Fridman through 2,200 years of Roman history and argues that what we call Byzantium was Rome itself.
1:10:15EN
Sequoia Capital· 30 jun 2026PódcastThe 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.
0:42EN
Matthew Berman· 30 jun 2026Matthew Berman's Concern About Access to Frontier AIMatthew Berman · Forward FutureIn a short commentary, Berman argues that restricted model access could disadvantage startups and slow US innovation.
1:06:10EN20VC with Harry Stebbings· 29 jun 2026Pódcast · 2 vocesK. R. Sridhar on Distributed Power, AI Demand and Energy AccessInvitado: K. R. Sridhar · Presenta: Harry StebbingsBloom Energy’s CEO discusses data-center power, manufacturing, natural gas and his vision for broader electricity access.
22:43ENTheo - t3․gg· 29 jun 2026Mac Prices, Unified Memory and Local AI: Theo’s Buying Trade-offsTheoTheo explains why high-memory Macs appealed for local inference and how rising component prices changed his comparison with PCs.
12:26ENMatthew Berman· 28 jun 2026Hermes Agent: Hosted Setup, Skills, Scheduled Tasks and TelegramMatthew Berman · Forward FutureIn a sponsored June 2026 tutorial, Matthew Berman demonstrates a managed Hermes installation and explores its tools, memory and messaging integrations.
30:08ENTheo - t3․gg· 27 jun 2026GPT-5.6’s Limited Preview: Benchmarks, Agent Risks and AccessTheoTheo reviews the launch-era announcement, published evaluations and reported agent incidents, while questioning the balance between safety and broad access.
0:25ENMatthew Berman· 27 jun 2026Apple’s June 2026 Price Increases and the Memory ShortageMatthew Berman · Forward FutureMatthew Berman links higher Mac and iPad prices to the demand for memory driven by AI infrastructure.Cargar másMostrando 24 de 3658