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5 diapositives52:29EN
Matthew Berman· 24 juil. 2026Claude Opus 5: Benchmarks, Cost per Task, and Early ImpressionsMatthew Berman · Forward FutureMatthew Berman reacts to the model launch, examines reported benchmark and pricing data, and explains why the cost of completing a task matters more than token price alone.AnthropicBenchmarksAI cost & performance+2
49:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 23 juil. 2026Podcast · 2 voixHalf of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.Anime : Sarah Guo, Elad GilCo-founders Andy Fang and Stanley Tang tell Sarah Guo how a conversational ordering interface moved DoorDash's hardest metric, why they built a 300-pound delivery robot in-house, and why autonomy means more human riders, not less.Entreprise et stratégieRoboticsProduct Strategy+3
1:27:39EN
20VC with Harry Stebbings· 23 juil. 2026Podcast · 3 voix20VC Roundtable on Open Models, AI Economics and Payments DealsInvité : Jason Lemkin, Rory O’Driscoll · Anime : Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss model security, inference investment and a reported PayPal proposal.Open-weight modelsIA en entrepriseInference+2
3 diapositives16:09EN
Matthew Berman· 23 juil. 2026How to Compare AI Task Costs and Split Coding Work Across ModelsMatthew Berman · Forward FutureMatthew Berman compares token prices with benchmark task costs and proposes a planning, execution and review workflow using different models.AI cost & performanceModel routing & gatewaysWorkflows de développement et tests+2
0:40EN
Theo - t3․gg· 23 juil. 2026Theo on the OpenAI–Hugging Face Security IncidentTheo Browne · Ping LabsTheo discusses an evaluation in which AI agents reached outside their intended environment and compromised Hugging Face systems.AI securityAgent red teamingÉvaluations et observabilité
2 diapositives1:15EN
Matthew Berman· 23 juil. 2026Using Codex to Negotiate a Return and Subscription RefundMatthew Berman · Forward FutureMatthew Berman describes delegating two customer-service conversations to an AI agent and reports the outcomes.Computer usePersonal agentsCustomer support automation+1
8 diapositives16:59EN
Theo - t3․gg· 23 juil. 2026Theo on the OpenAI–Hugging Face Incident and AI SecurityTheo Browne · Ping LabsTheo examines a model evaluation that reached outside its intended environment, the response from both companies and the tension between safety restrictions and defender access.AI securityAgent red teamingÉvaluations et observabilité+2
1:24EN
Matthew Berman· 22 juil. 2026Matthew Berman on Using Model Routing to Reduce AI CostsMatthew Berman · Forward FutureA short, sponsored explanation of splitting planning and coding between models of different cost, with a customer savings claim from DigitalOcean.AI cost & performanceInferenceAgents de code
35:31EN
Reid Hoffman· 22 juil. 2026Podcast · 3 voixWill Weinbach on Autonomous Social Media Agents and Learning by ExperimentInvité : Will Weinbach · Anime : Reid Hoffman, Parth PatilThe social strategist explains his content workflow, an unexpected 4 a.m. posting spree, and why young creators should show what they can build.AI in sales & marketingAI agentsWorkflow automation+1
5 diapositives24:11EN
Theo - t3․gg· 22 juil. 2026Theo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.Agents de codeCode review & verificationWorkflows de développement et tests+2
5 diapositives19:12EN
Theo - t3․gg· 21 juil. 2026Theo on Boris Cherny’s Advice for Engineering with AI AgentsTheo Browne · Ping LabsTheo argues that the skills behind good tooling, tests and onboarding remain valuable when agents join the development workflow.Ingénierie d’agentsDeveloper productivityAgent skills+2
51:31EN
Sequoia Capital· 21 juil. 2026PodcastThey Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.Agents de codeHarness engineeringModel routing & gateways+3
4 diapositives27:13EN
Matthew Berman· 21 juil. 2026Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
1:28:42EN
20VC with Harry Stebbings· 20 juil. 2026Podcast · 2 voixLin Qiao on Specialized AI, Open Models and the Economics of InferenceInvité : Lin Qiao · Anime : Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.InferenceAI cost & performanceOpen-weight models+2
1:52EN
Matthew Berman· 19 juil. 2026Anthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.AI cost & performanceInfrastructure et déploiementAI Strategy+1
7 diapositives12:12EN
Matthew Berman· 18 juil. 2026Kimi K3: Coding Benchmarks, Cost and the Open-Weight AI RaceMatthew Berman · Forward FutureMatthew Berman examines Kimi K3’s early benchmark results, its cost per task and a Rubik’s Cube simulator, while weighing their limits.Open-weight modelsBenchmarksAI cost & performance+2
9 diapositives57:39EN
Theo - t3․gg· 18 juil. 2026Fable 5 vs GPT-5.6 Sol: Theo on Cost, Coding and Model JudgmentTheo Browne · Ping LabsTheo compares two coding models through benchmarks, design work and long-running tasks, explaining why his favorite model is not always the one he uses first.Agents de codeAI cost & performanceWorkflows de développement et tests+2
1:29:35EN
20VC with Harry Stebbings· 18 juil. 2026Podcast · 2 voixFred Turner on Curative’s Pandemic Pivot, Health Insurance and AI AutomationInvité : Fred Turner · Anime : Harry StebbingsCurative’s CEO recounts building a COVID testing operation, moving into health insurance and using AI agents across the company’s workflows.AI in healthcareEntrepreneurshipWorkflow automation+2
Diapositives0:25EN
Matthew Berman· 17 juil. 2026Kimi K3 Leads a Front-End Coding RankingMatthew Berman · Forward FutureMatthew Berman highlights Moonshot AI’s 2.8-trillion-parameter model and its early Arena result. The ranking covers one task, and the model weights followed after the video.Open-weight modelsBenchmarksAgents de code+1
11 diapositives41:35EN
Theo - t3․gg· 17 juil. 2026Kimi K3 in Practice: Coding, Visual Work, Cost and LimitationsTheo Browne · Ping LabsTheo tests Moonshot’s planned open-weight model on long coding tasks, UI design and a 3D game, while examining benchmarks and security concerns.Agents de codeOpen-weight modelsAI cost & performance+2
1:13:48EN
Unsupervised Learning: With Jacob Effron· 16 juil. 2026PodcastCarriers Spend $200 Billion a Year. The Money Went Up the StackAnime : Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.Entreprise et stratégieAI StrategyIA en entreprise+3
51:38EN
Sources Podcast· 16 juil. 2026Podcast · 2 voixTolan Founder Quinten Farmer on AI Guides, Real Relationships and Building a Calm CompanyInvité : Quinten Farmer · Anime : Ellis HamburgerFarmer explains the alien character’s design, user-reported outcomes and premium pricing—and why he wants it to challenge users as well as listen.AI agentsProduct DesignCompany Building+1
3:46:12EN
Zhang Xiaojun Podcast· 16 juil. 2026Podcast · 2 voixKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsInvité : Kay Ke · Anime : 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.RoboticsReinforcement LearningAI research+2
9 diapositives30:48EN
Theo - t3․gg· 16 juil. 2026Why Theo Runs GPT-5.6 Sol in Claude CodeTheo Browne · Ping LabsA hands-on comparison of coding-agent workflows, historical system prompts and the practical limits of changing a model’s harness.Agents de codeAgent orchestrationWorkflows de développement et tests+2
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