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31:22ENCursor Composer 2.5 and the Economics of Coding ModelsMatthew Berman, Sundar Pichai · Forward FutureMatthew Berman examines coding benchmarks, model costs and enterprise budgets, then considers Cursor’s partnership with SpaceX and Anthropic’s demand for compute.
1:07:45ENAndrew Feldman on AI Chips, Data Centers and Compute DemandInvitado: Andrew Feldman · Presenta: Harry StebbingsCerebras’s CEO discusses memory supply, inference speed, community impacts and US chip policy.
37:30ENCursor Composer 2.5: Speed, Coding Benchmarks, and the Limits of EvaluationTheo Browne · T3Theo examines Cursor’s coding model, its training methods, practical performance, and the difficulty of independent testing.
2:13:11ENThe Models Understand Shutdown. They Just Don't Care.Presenta: Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.
1:23:34EN20VC on Enterprise Sales Hiring, Compensation and AIInvitado: Chad Peets, Chris Degnan · Presenta: Harry StebbingsChad Peets and Chris Degnan discuss building sales teams, forecasting revenue and competing for talent while AI changes enterprise markets.
59:41ENThe GPT moment for video hasn’t arrived, but AGI may already be herePresenta: Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.
1:27:17ENAI Funding, IPO Expectations and the Politics of Layoffs: Jason Lemkin and Rory O’DriscollInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsA 20VC roundtable examines reported Anthropic financing, AI spending, software valuations, chip infrastructure and speculative IPOs, then considers the politics of job losses.
30:34ENCerebras Waited Ten Years for a Market That Finally Needed SpeedPresenta: Sarah Guo, Elad GilFounder and CEO Andrew Feldman walks No Priors through wafer-scale chips, a $20 billion OpenAI deal, and why a dinner-plate processor only mattered once AI became an everyday tool.
1:01:14ENThe Model Eats the Scaffolding: How Google Plans to Ship Agents EverywherePresenta: Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.
30:19ENSundar Pichai on AI Agents, Open Models and Google’s Compute ConstraintsMatthew Berman, Sundar Pichai · Forward FutureAt Google I/O 2026, Pichai discusses trust in agents, cyber model releases, open ecosystems, efficient models and the infrastructure needed to serve them.
38:24ENServal's Bet: Keep ServiceNow's Primitives, Take Humans Out of the BuildJake Stauch tells Sequoia's Pat Grady how a two-year-old ITSM startup uses codegen agents, boring enterprise controls, and "fewer, better" hiring to rebuild employee support for the AI era.
39:05ENWhy GitHub Copilot Changed Its Billing for Agent WorkflowsTheo Browne · T3Theo explains why one agent request can consume vastly different resources, and what that means for subscription pricing.
1:23:54ZHFreda Duan:重新计算 AI 投资,也重新理解人的连接Invitado: Freda Duan · Presenta: 张小珺Altimeter Capital 合伙人与张小珺讨论 token 成本、模型竞争、组织变革和快速变化中的焦虑。
1:35:14ENJosh Browder on Early Investing, DoNotPay and Founder DecisionsInvitado: Josh Browder · Presenta: Harry StebbingsThe DoNotPay founder discusses backing young founders, fundraising, company operations and his personal investment views.
1:08:23ENShiv Rao on Building Abridge, Clinical Workflows and AIInvitado: Shiv Rao · Presenta: Harry StebbingsThe Abridge co-founder discusses years of market development, model choices, data trust and the limits of automating clinical work.
1:34:54ENSix Months, Eighty Percent Churn, Five Times the TokensPresenta: Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.
1:21:56ENYann LeCun Left Meta Because LLMs Will Not Get You to IntelligencePresenta: Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.
41:05ENAnthropic’s 2028 AI Leadership Scenarios: Chips, Open Models and a Policy DebateMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Anthropic’s US–China scenarios, questions its proposed export restrictions and argues that adoption and open-weight models matter as much as frontier capability.
1:01:41ENWhat Business Payments Reveal About OpenAI and Anthropic: Ara Kharazian on Ramp's AI IndexMatthew Berman, Ara Kharazian · Forward FutureRamp's chief economist explains what company purchases can reveal about AI adoption, model spending and the competition between providers—and what the data cannot show.
33:58ENAI, Vulnerability Disclosure, and Software Supply-Chain RiskTheo Browne · T3Theo examines how faster vulnerability research could affect disclosure, patch distribution, and recovery planning.
38:01ENThe Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a BusinessPresenta: Sarah Guo, Elad GilUS Under Secretary Jacob Helberg on a 14-country coalition, a diplomatic industrial zone in the Philippines, and why Washington is putting companies—not ministries—in the driver's seat.
1:19:05ENAI Compute Deals, Cerebras’s IPO and the Cost of Building: A 20VC RoundtableInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsJason Lemkin and Rory O’Driscoll debate AI infrastructure, software competition and IPO valuations, then discuss the personal demands of founding a company.
45:51ENClaude Subscription Credits and the Debate Over Third-Party Agent ToolsTheo Browne · T3Theo explains why a separate programmatic allowance affects T3 Code and questions the line between interactive and automated use.
41:45ENAI Cyberattacks and Defenses: What Recent Security Incidents ShowMatthew Berman · Forward FutureMatthew Berman examines supply-chain attacks, AI-assisted vulnerability research and the economics of defending software as models improve.
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