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19:43ENJack Wotherspoon on Building a Team of Managed AgentsJack Wotherspoon · Google DeepMindGoogle DeepMind’s Jack Wotherspoon introduces Gemini Managed Agents: cloud sandboxes that let teams run coding and research agents with a single API call. He explains how persistent environments, reusable skills, proxy-injected credentials, schedules, and specialized agents fit together.
30:37ENTheo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.
1:03:05ENHarrison Chase on Building Reliable Agents, Model Routing and MemoryGast: Harrison Chase · Moderation: Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.
17:37ENAI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.
1:04:26ENAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.
1:06:36ENTheo’s Guide to Running Coding Agents in ParallelTheo Browne · T3Theo explains his approach to subscription usage, agent delegation, review and remote machines, while acknowledging that parts of his setup may violate provider rules.
31:46ENClaude Sonnet 5.5: A Fast Research Assistant for Coding AgentsTheo Browne · T3Theo tests Sonnet 5.5 on pricing, reasoning effort, codebase analysis and a 3D game, and finds a surprising role for it alongside larger models.
28:41ENHow Theo Uses Opus 5.5 for Longer Coding TasksTheo Browne · T3Clear finish lines, explicit stopping points, steering and independent verification can make long agent runs easier to manage.
1:16:51ENFable 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.
45:10EN76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsModeration: Sarah Guo, Elad GilBrian Armstrong tells Elad Gil how Coinbase became an everything exchange, why card networks cannot price agent-to-agent payments, and what his longevity company is taking into the clinic.
1:04ENHyperagent: A Sponsored Demonstration of a Multi-Agent WorkflowMatthew Berman · Forward FutureMatthew Berman shows a cloud-based workflow that turns a property listing into a real-estate video.
13:32ENOpenAI’s Navier–Stokes Proof Claim, Research Credit, and the Future of AIMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s claim that AI agents produced a proof, a dispute over related research and data use, and what the episode might mean for AI-driven discovery.
1:07ENMatthew Berman on Relay: Routing Coding Work Across ModelsMatthew Berman · Forward FutureA short demonstration of a free coding skill that assigns planning, implementation and review to different models. Its cost comparison is one example, not a guarantee of savings or equivalent quality.
34:30ENNetic's Agents Answer the Phone When the Heat BreaksModeration: Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.
35:27ENJoe Salvatore on AI, Creative Direction and the Taste Behind a BrandGast: Joe Salvatore · Moderation: Reid Hoffman, Parth PatilThe visual artist explains how he turns creative briefs into agent-driven advertising workflows—and why judgment and storytelling still matter.
48:55ENAnthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.
1:29:02ENFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can ExploreModeration: Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
41:20ENA $4 Million Cabinet and a Trillion-Dollar Year: Jensen Huang Turns the AI Factory Into a Manufacturing StoryOn Sequoia's Training Data stage, NVIDIA's CEO walks a sixty-country audience from ChatGPT's parlor tricks to agentic work, a five-layer industrial cake, and why radiology hiring went up.
12:59ENCoding-Agent Loops: Triggers, Goals and the Cost of RepetitionMatthew Berman, Boris Cherny · Forward FutureMatthew Berman explains event-triggered and scheduled agent workflows, shows examples in Cursor and Claude Code, and considers their limits.
0:16ENA Skit About Trying to Keep Up With AI NewsMatthew Berman · Forward FutureMatthew Berman jokes about the feeling of catching up just as another coding-agent discussion appears.
0:51ENWhy Berman Prefers Cloud Agents to Keeping a Laptop OpenMatthew Berman · Forward FutureA short video contrasts locally running agents with remote environments that can continue after a laptop is closed.
1:22:03ENAnthropic’s SpaceX Compute Deal, Claude Limits and Agent ToolsMatthew Berman · Forward FutureIn a May 2026 livestream, Matthew Berman examines the Colossus deal, competing infrastructure strategies and new Claude agent features.
1:50:05ENCursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC RoundtableGast: Jason Lemkin, Rory O’Driscoll · Moderation: Harry StebbingsJason Lemkin and Rory O’Driscoll weigh a purported Cursor transaction, design software and enterprise agent infrastructure, while debating IPO and valuation risk.
44:01ENA millionth of a penny: Jeremy Allaire on the payment rails of the agentic economyModeration: Sarah Guo, Elad GilCircle's CEO tells No Priors why stablecoins and a purpose-built chain, not the legacy banking stack, are the money layer for software that buys and sells on its own.
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