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슬라이드 8장1:59:37EN
Matthew Berman· 2026년 9월 22일Opus 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.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 10장30:29EN
Theo - t3․gg· 2026년 9월 21일Jev: 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 & gateways코딩 에이전트+2
1:19:54EN
20VC with Harry Stebbings· 2026년 9월 19일팟캐스트 · 2명Thomas Sohmers on AI Inference, Memory and Data-Center Growth게스트 Thomas Sohmers · 진행자 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
슬라이드 4장27:09EN
Theo - t3․gg· 2026년 9월 18일Why 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.코딩 에이전트Developer productivityAI cost & performance+2
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 18일팟캐스트 · 2명Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon진행자 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.모델과 학습InferenceAI cost & performance+3
슬라이드 5장12:31EN
Matthew Berman· 2026년 9월 18일Jev'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 & performance평가와 관측 가능성+1
슬라이드1:12EN
Matthew Berman· 2026년 9월 17일A 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 media비전과 영상AI cost & performance
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 17일팟캐스트Eighty percent of what agents do should still be ordinary code진행자 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.MCP와 도구MCPWorkflow automation+3
슬라이드0:38EN
Matthew Berman· 2026년 9월 13일A 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 & performance모델과 학습
0:22EN
Theo - t3․gg· 2026년 9월 12일Theo’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.모델과 학습AI cost & performance코딩 에이전트
슬라이드 7장16:39EN
Matthew Berman· 2026년 9월 11일DeepSeek 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.모델과 학습Open-weight modelsAI cost & performance+2
슬라이드 9장1:16:51EN
Theo - t3․gg· 2026년 9월 11일Fable 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.코딩 에이전트AI cost & performanceComputer use+2
1:16:00EN
20VC with Harry Stebbings· 2026년 9월 7일팟캐스트 · 2명JD Grèze on Building Town and Competing in AI Assistants게스트 Jean-Denis Greze · 진행자 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· 2026년 9월 5일팟캐스트 · 2명Cliff Weitzman on Owning GPUs, Voice AI and Building Speechify게스트 Cliff Weitzman · 진행자 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.인프라와 배포음성 AIAI cost & performance+2
슬라이드 10장13:31EN
Matthew Berman· 2026년 9월 4일Matthew 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.코딩 에이전트Computer useAI cost & performance+2
슬라이드 11장44:12EN
Theo - t3․gg· 2026년 9월 4일GPT-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.모델과 학습Computer use코딩 에이전트+2
슬라이드 10장55:06EN
Theo - t3․gg· 2026년 9월 3일Fable 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.코딩 에이전트AI cost & performanceCode review & verification+2
슬라이드 2장0:24EN
Theo - t3․gg· 2026년 9월 3일Theo’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 & verification코딩 에이전트AI cost & performance
37:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 9월 3일팟캐스트 · 2명Arm’s 98.5% margin business just started shipping chips진행자 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.인프라와 배포Company BuildingAI Strategy+3
슬라이드 5장16:50EN
Matthew Berman· 2026년 9월 3일Gemini 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
슬라이드 9장19:08EN
Matthew Berman· 2026년 9월 1일Claude 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· 2026년 8월 29일팟캐스트 · 2명Eno Reyes on AI Model Economics, Enterprise Control and Factory's Strategy게스트 Eno Reyes · 진행자 Harry StebbingsFactory's CTO discusses cost per outcome, model routing, open models, enterprise hiring and his expectations for the AI market.에이전트 엔지니어링엔터프라이즈 AIAI cost & performance+2
슬라이드 7장18:57EN
Matthew Berman· 2026년 8월 29일GLM-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
슬라이드 3장0:36EN
Theo - t3․gg· 2026년 8월 28일Theo 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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