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3:46:18ENIf You Take Slavery Out of the Picture, There Is No Civil WarInvitado: Gary Gallagher · Presenta: Lex FridmanIn 1860, enslaved people were worth more than every railroad and factory in the United States combined.
2:23:43ENHe Bought an Android, Two SIMs, and Left Claude Watching His InboxPresenta: Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
1:06:45ENMatt Murphy on Anthropic, Open Models and the New Venture PlaybookInvitado: Matt Murphy · Presenta: Harry StebbingsThe Menlo Ventures partner explains his investments in Anthropic, Lovable and Legora, and debates AI margins, model competition and venture fund strategy.
1:02:42ENMercor’s Osvald Nitski on AI Training Data, Product and Customer ConcentrationInvitado: Osvald Nitski · Presenta: Harry StebbingsMercor’s head of product discusses how the company supplies expert data to AI labs, designs its marketplace and plans to reach more enterprise customers.
52:29ENClaude 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.
49:20ENHalf of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.Presenta: 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.
1:27:39EN20VC Roundtable on Open Models, AI Economics and Payments DealsInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss model security, inference investment and a reported PayPal proposal.
16:09ENHow 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.
1:15ENUsing 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.
1:24ENMatthew 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.
35:31ENWill Weinbach on Autonomous Social Media Agents and Learning by ExperimentInvitado: Will Weinbach · Presenta: 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.
51:31ENThey 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.
27:13ENKimi 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.
1:28:42ENLin Qiao on Specialized AI, Open Models and the Economics of InferenceInvitado: Lin Qiao · Presenta: Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.
1:52ENAnthropic, 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.
12:12ENKimi 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.
1:29:35ENFred Turner on Curative’s Pandemic Pivot, Health Insurance and AI AutomationInvitado: Fred Turner · Presenta: Harry StebbingsCurative’s CEO recounts building a COVID testing operation, moving into health insurance and using AI agents across the company’s workflows.
0:25ENKimi 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.
1:13:48ENCarriers Spend $200 Billion a Year. The Money Went Up the StackPresenta: 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.
51:38ENTolan Founder Quinten Farmer on AI Guides, Real Relationships and Building a Calm CompanyInvitado: Quinten Farmer · Presenta: 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.
3:46:12ENKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsInvitado: Kay Ke · Presenta: 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.
1:26:12EN20VC Roundtable on AI Competition, Enterprise Spending and Venture CapitalInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss a reported Apple lawsuit, AI pricing, memory markets and venture financing.
1:18ENAI News Live: A Brief Interrupted OpeningThe Forward Future team starts a live broadcast, checks its stream and introduces a planned OpenAI hardware topic before the recording ends.
0:42ENDeepSeek and Zhipu Reportedly Explore Custom AI ChipsMatthew Berman · Forward FutureMatthew Berman discusses 2026 reports of Chinese model developers pursuing their own processors and the strategic appeal of controlling more of their AI infrastructure.
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