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8 slides1:59:37EN
Matthew Berman· Sep 22, 2026Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.Coding agentsAI cost & performanceEvals+2
10 slides30:29EN
Theo - t3․gg· Sep 21, 2026Jev: A Fast Classifier for Structured DecisionsTheo Browne · T3Theo Browne explores Typesafe AI’s Jev through classification, game and developer-workflow demos, and explains where he thinks a reasoning model is still needed.Structured outputsModel routing & gatewaysCoding agents+2
1:19:54EN
20VC with Harry Stebbings· Sep 19, 2026Podcast · 2 speakersThomas Sohmers on AI Inference, Memory and Data-Center GrowthGuest Thomas Sohmers · Host Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.InferenceSemiconductorsAI cost & performance+2
4 slides27:09EN
Theo - t3․gg· Sep 18, 2026Why Theo Values Reliable Coding Agents Over Peak PerformanceTheo Browne · T3Theo Browne argues that a model’s weakest moments matter when a coding task stretches from investigation through testing and review.Coding agentsDeveloper productivityAI cost & performance+2
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 18, 2026Podcast · 2 speakersDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconHost Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.Models & trainingInferenceAI cost & performance+3
5 slides12:31EN
Matthew Berman· Sep 18, 2026Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.AI agentsAI cost & performanceEvals & observability+1
Slides1:12EN
Matthew Berman· Sep 17, 2026A Sponsored Look at Higgsfield's Image and Video APIMatthew Berman · Forward FutureMatthew Berman uses a real-versus-AI video comparison to introduce Higgsfield's model catalog and generation-based API billing.Generative mediaVision & videoAI cost & performance
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· Sep 17, 2026PodcastEighty percent of what agents do should still be ordinary codeHost Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP & toolsMCPWorkflow automation+3
Slides0:38EN
Matthew Berman· Sep 13, 2026A Quick DeepSeek Speed Test and V4.1 Flash API PricingMatthew Berman · Forward FutureMatthew Berman demonstrates a short essay response and reviews the peak and off-peak API rates displayed in September 2026.AI cost & performanceModels & training
0:22EN
Theo - t3․gg· Sep 12, 2026Theo’s Take on GPT-6 Astra: A Next-Generation Model With Rough EdgesTheoTheo praises the model across coding and other tasks while warning that it can still over-engineer and get stuck in loops.Models & trainingAI cost & performanceCoding agents
7 slides16:39EN
Matthew Berman· Sep 11, 2026DeepSeek V4.1 Flash: Low-Cost Inference Meets Mixed Results in Practical TestsMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s efficient new open-weight model, its reported benchmarks and API pricing, then tests its speed, coding and visual work. His small set of demos reveals both impressive speed and problems with simulation accuracy.Models & trainingOpen-weight modelsAI cost & performance+2
9 slides1:16:51EN
Theo - t3․gg· Sep 11, 2026Fable 5.1 vs GPT-6 Astra: Theo on Coding, Computer Use and CostTheoTheo compares the models through coding projects, 3D demos and agent workflows, and explains why he uses each for different jobs.Coding agentsAI cost & performanceComputer use+2
1:16:00EN
20VC with Harry Stebbings· Sep 7, 2026Podcast · 2 speakersJD Grèze on Building Town and Competing in AI AssistantsGuest Jean-Denis Greze · Host Harry StebbingsTown’s co-founder discusses privacy, model costs, competition and why he prioritizes customer value over token consumption.AI agentsAI cost & performanceProduct Strategy+2
1:04:35EN
20VC with Harry Stebbings· Sep 5, 2026Podcast · 2 speakersCliff Weitzman on Owning GPUs, Voice AI and Building SpeechifyGuest Cliff Weitzman · Host Harry StebbingsSpeechify's CEO makes the case for owning part of a compute fleet, reflects on a missed business-software opportunity and discusses AI-assisted teams.Infrastructure & deploymentVoice AIAI cost & performance+2
10 slides13:31EN
Matthew Berman· Sep 4, 2026Matthew Berman Tests GPT-6 Astra with Games and Browser TasksMatthew Berman · Forward FutureAn early-access tour shows playable prototypes, computer-use demonstrations and a sponsor’s enterprise evaluation, alongside observations about visual style and limitations.Coding agentsComputer useAI cost & performance+2
11 slides44:12EN
Theo - t3․gg· Sep 4, 2026GPT-6 Astra: Theo’s Early Tests of Computer Use, 3D and CodingTheoTheo reviews launch-era pricing and benchmarks, shows projects built with the model, and recounts a frustrating PR-review failure.Models & trainingComputer useCoding agents+2
10 slides55:06EN
Theo - t3․gg· Sep 3, 2026Fable 5.1 in Practice: Theo on Costs, Agent Workflows and PR QualityTheoTheo reviews the launch, prompting guidance and his early coding experiments, including an observational comparison of pull requests.Coding agentsAI cost & performanceCode review & verification+2
2 slides0:24EN
Theo - t3․gg· Sep 3, 2026Theo’s Low-Cost Experiment Auditing T3 Code Pull RequestsTheoTheo describes using an inexpensive model to review recently updated pull requests and proposes a recurring readiness check.Code review & verificationCoding agentsAI cost & performance
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 3, 2026Podcast · 2 speakersArm’s 98.5% margin business just started shipping chipsHost Sarah Guo, Elad GilCEO Rene Haas tells No Priors why the IP company built a physical CPU for Meta, and why CPUs still sit at the center of AI systems.Infrastructure & deploymentCompany BuildingAI Strategy+3
5 slides16:50EN
Matthew Berman· Sep 3, 2026Gemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.GeminiBenchmarksAI cost & performance+2
9 slides19:08EN
Matthew Berman· Sep 1, 2026Claude Fable 5.1 and Mythos 5.1: Pricing, Safeguards and Hands-On TestsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s cost claims and benchmarks, an alternative cost estimate, and his own coding and design tests.Foundation ModelsBenchmarksAI cost & performance+2
1:29:22EN
20VC with Harry Stebbings· Aug 29, 2026Podcast · 2 speakersEno Reyes on AI Model Economics, Enterprise Control and Factory's StrategyGuest Eno Reyes · Host Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.Agent engineeringEnterprise AIAI cost & performance+2
7 slides18:57EN
Matthew Berman· Aug 29, 2026GLM-5.3-Flash: Ox Alpha Benchmarks, Costs and Coding TestsMatthew Berman · Forward FutureMatthew Berman reviews Z.ai’s open-weight model, compares benchmark costs and tries coding and presentation tasks against a competing model.Open-weight modelsBenchmarksAI cost & performance+2
3 slides0:36EN
Theo - t3․gg· Aug 28, 2026Theo on Ox Alpha, Revealed as GLM-5.3-FlashTheo Browne · Ping LabsTheo discusses the model’s price, multimodal inputs and Chinese-chip deployment in a short first impression.Foundation ModelsAI cost & performanceMultimodal AI+1
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