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Theo - 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.
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20VC 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.
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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.
1:29:02EN
Cognitive 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.
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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.
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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.
54:29EN20VC with Harry Stebbings· 27 jun 2026Pódcast · 2 vocesfomo CEO Paul Erlanger on Social Trading, Fundraising and Product GrowthInvitado: Paul Erlanger · Presenta: Harry StebbingsErlanger discusses building a trading app, raising from angels and venture firms, and combining social features with financial products.
1:57:46ENCognitive Revolution "How AI Changes Everything"· 27 jun 2026Pódcast30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is BecomingPresenta: Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.
1:08ENMatthew Berman· 26 jun 2026Matthew Berman Criticizes GPT-5.6’s Restricted PreviewMatthew Berman · Forward FutureA June 2026 reaction to the government-requested staged release argues that limited access disadvantages independent builders.
19:49ENMatthew Berman· 26 jun 2026Matthew Berman on Restricted AI Model Releases and the Risk of Concentrated PowerMatthew Berman · Forward FutureA June 2026 commentary argues that limited previews for frontier models could disadvantage startups and independent developers.
0:48ENTheo - t3․gg· 26 jun 2026Theo Responds to Karpathy’s Discussion of Claude in SlackTheoTheo says a post about tagging Claude in Slack may seem surprising, but he sees lessons for the AI industry in the feature.
1:02ENMatthew Berman· 26 jun 2026Anthropic Accuses Alibaba-Linked Operators of Distilling ClaudeMatthew Berman · Forward FutureMatthew Berman discusses a 2026 allegation, restrictions on advanced models and his prediction about identity checks.
36:19ENNo Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2026Pódcast · 2 vocesThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsPresenta: Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.Cargar másMostrando 24 de 3814