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1:18:07EN
20VC with Harry Stebbings· 2. Juli 2026Podcast · 3 Stimmen20VC Roundtable: AI Spending, Model Competition and Software AcquisitionsGast: Jason Lemkin, Rory O’Driscoll · Moderation: 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 CapitalEnterprise-KI+2
1:01:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2. Juli 2026Podcast · 2 StimmenTwo Years and Four Months to a Live Reactor: Valar Atomics Wants Energy Ten Times CheaperModeration: 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.Infrastruktur & DeploymentCompany BuildingSicherheit & Governance+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 1. Juli 2026PodcastFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreModeration: Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.Unternehmen & StrategieFine-TuningAgent orchestration+3
6 Folien28:37EN
Theo - t3․gg· 1. Juli 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.AnthropicCoding-AgentenAgent orchestration+2
2 Folien2:19EN
Theo - t3․gg· 1. Juli 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.AnthropicCoding-AgentenAgent orchestration+1
6 Folien31:30EN
Theo - t3․gg· 30. Juni 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.AI cost & performanceReasoning & test-time computeKV caching & prefix reuse+2
0:33EN
Theo - t3․gg· 30. Juni 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.Human-AI CollaborationEntwicklungs-Workflows & Tests
3:51:47EN
Lex Fridman· 30. Juni 2026Podcast · 2 StimmenForty-Six Percent of Emperors Were Overthrown. The Empire Lasted AnywayGast: Anthony Kaldellis · Moderation: Lex FridmanHistorian Anthony Kaldellis walks Lex Fridman through 2,200 years of Roman history and argues that what we call Byzantium was Rome itself.Political PhilosophyGeopoliticsLeadership
1:10:15EN
Sequoia Capital· 30. Juni 2026PodcastThe 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.Infrastruktur & DeploymentInferenceBenchmarks+3
0:42EN
Matthew Berman· 30. Juni 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.AI RegulationOpen-weight modelsAI Strategy
1:06:10EN
20VC with Harry Stebbings· 29. Juni 2026Podcast · 2 StimmenK. R. Sridhar on Distributed Power, AI Demand and Energy AccessGast: K. R. Sridhar · Moderation: Harry StebbingsBloom Energy’s CEO discusses data-center power, manufacturing, natural gas and his vision for broader electricity access.EnergyLeadershipInfrastruktur & Deployment+2
4 Folien22:43EN
Theo - t3․gg· 29. Juni 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.Local inferenceInfrastruktur & DeploymentAI cost & performance+1
5 Folien12:26EN
Matthew Berman· 28. Juni 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.AgentenAgent skillsWorkflow automation+2
6 Folien30:08EN
Theo - t3․gg· 27. Juni 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.OpenAISicherheit & GovernanceAgent Engineering+2
0:25EN
Matthew Berman· 27. Juni 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.PricingAI cost & performance
54:29EN
20VC with Harry Stebbings· 27. Juni 2026Podcast · 2 Stimmenfomo CEO Paul Erlanger on Social Trading, Fundraising and Product GrowthGast: Paul Erlanger · Moderation: Harry StebbingsErlanger discusses building a trading app, raising from angels and venture firms, and combining social features with financial products.FintechCryptocurrencyProduct Strategy+2
1:57:46EN
Cognitive Revolution "How AI Changes Everything"· 27. Juni 2026Podcast30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is BecomingModeration: 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.Unternehmen & StrategieSicherheit & GovernanceAI research+3
1:08EN
Matthew Berman· 26. Juni 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.AI RegulationAI StrategyOpenAI+1
3 Folien19:49EN
Matthew Berman· 26. Juni 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.AI RegulationAI SafetyOpen-weight models+2
0:48EN
Theo - t3․gg· 26. Juni 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.Human-AI CollaborationAI interface design
2 Folien1:02EN
Matthew Berman· 26. Juni 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.AnthropicDistillationAI Regulation+1
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 26. Juni 2026Podcast · 2 StimmenThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsModeration: 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.Evals & ObservabilityEvalsBenchmarks+3
2 Folien19:24EN
Theo - t3․gg· 26. Juni 2026Theo on Google’s Coding Agents, Departures and Internal ExperimentsTheoTheo distinguishes model knowledge from agent behavior and argues that organizations need room for useful prototypes.GeminiCoding-AgentenCompany Culture+1
4 Folien20:47EN
Theo - t3․gg· 25. Juni 2026From Chatbots to Team Agents: Theo on Karpathy’s Claude Tag ThesisTheoTheo explores shared channel context, asynchronous agents and the trade-off between a ready-made team workflow and model choice.Human-AI CollaborationAI agentsAgent memory+2
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