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40:33ENDylan Field on Figma, AI and Why Design Still Matters게스트 Dylan FieldThe Figma CEO discusses the failed Adobe acquisition, competition from AI model providers and the role of human intention in creative work.
1:19:50ENSameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company Culture게스트 Sameer Dholakia · 진행자 Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.
1:01:04ENNick Nisi and Zack Proser: Give Coding Agents Evidence That Their Work Is DoneNick Nisi, Zack Proser · WorkOSA WorkOS workshop uses a broken waitlist to show how repeatable checks, receipts and evaluations support agent-assisted development.
31:47ENTheo on Asking Agents for Outcomes and Building the Tools They NeedTheo Browne · Ping LabsA tool-call report, a troubleshooting playbook and connected data show how prompting can reshape product engineering.
44:30ENDenys Linkov: Making Messy Insurance Claims Data Useful for AIDenys Linkov · WisedocsWisedocs’ AI leader describes duplicate records, missing evidence, evaluation and the path from individual medical claims to portfolio insights.
0:22ENDeepSeek's Memory Use: A Short Claim About KV CacheMatthew Berman · Forward FutureMatthew Berman links lower cache memory use to serving more tokens, but the excerpt does not state the comparison behind its figures.
49:35ENOpenProse: Declaring Outcomes for Event-Driven Agent WorkflowsDan Barrett, Raymond Weitekamp · OpenProseDan Barrett and Raymond Weitekamp demonstrate Markdown contracts, pull-request review and financial model documentation.
0:42ENMatthew Berman Tests a Gemini 4 Argon Fall Guys-Style GameMatthew Berman · Forward FutureA short playthrough shows a colorful obstacle course after a few rounds of iteration, with Berman assessing its gameplay and collisions.
1:34:06ENAI Infrastructure Debt, Anthropic’s IPO and a Debate Over Safety게스트 Ben Horowitz · 진행자 Jason Calacanis, Chamath Palihapitiya, David SacksThe All-In panel and Ben Horowitz assess a selloff in AI infrastructure, software economics and disputed claims about model safety.
0:58ENA 20-Minute Spreadsheet Prototype Built with Gemini 4 ArgonMatthew Berman · Forward FutureMatthew Berman tests a browser spreadsheet prototype on simple formulas and reflects on how AI could change software costs.
1:37:07ENAI Safety as Engineering: Proofs, Stress Tests and Incident InvestigationClark Barrett, Mykel KochenderferStanford researchers discuss formal methods and safety-critical evaluation at YC Paper Club.
55:24ENEugene Cheah: Measuring and Right-Sizing AI Inference CostsEugene Cheah · Featherless AIFeatherless AI’s founder discusses workload measurement, model selection, capacity planning and the human processes around generated work.
1:56:13ENLaurie Voss: Building an Evaluation Loop for AI AgentsLaurie Voss · Arize AIA Phoenix workshop traces a deliberately flawed financial-analysis agent, tests evaluators and compares changes without mistaking a score for proof.
51:48ENNacho Martinez: Designing Memory-Aware Agent Harnesses for AMLNacho Martinez · OracleAn Oracle workshop uses a simulated bank to explain agent loops, memory, tool discovery and human review.
43:25ENHow Should Agent Authorization Reflect the User’s Intent?Allie Howe, Ian Livingstone, Michael Davis, Dick Hardt · KeycardA panel from Keycard, JPMorgan Chase and AAuth discusses missions, budgets, sandbox boundaries and independent audit records.
1:25:56ENClaude Changed the Password. The Steering Wheel Was Already Optional진행자 Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.
1:03:05ENHarrison Chase on Building Reliable Agents, Model Routing and Memory게스트 Harrison Chase · 진행자 Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.
1:05:49ENJournalists Revisit Elizabeth Holmes Through a New Documentary게스트 John Carreyrou, Caitlin Roper, Erin Griffith · 진행자 Max ReadMax Read and three reporters discuss what access to a subject can and cannot reveal.
1:41:43ENCJ Avilla and Harrison Stall: Coordinating and Containing Multi-Agent WorkflowsCJ Avilla, Harrison Stall · AnthropicAn Anthropic workshop demonstrates Flows, stock research, code review and controls for budgets, credentials and network access.
48:04ENTheo Explains Scion, Anthropic’s Source-Control System for Agent-Scale WorkTheo Browne · Ping LabsA deep dive into server-side changesets, layered caches, migration results and the limits of a bespoke Git alternative.
58:57ENJad Naous and Martin Casado on AI Coding and Production Operations게스트 Jad Naous · 진행자 Martin CasadoA discussion of engineering workflows, observability and whether agents can investigate failures in complex running systems.
1:48:29ENHow AI Is Changing Programming: John Crepezzi and Ron MinskyYaron Minsky, John Crepezzi · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.
1:15:20ENAI Power Users on Agents, Assistants and What Works게스트 Ben Davis, Ben Hylak, Dex Horthy, Allison Durham, Alex Volkov · 진행자 swyxA Latent Space roundtable on product design, context, trust and everyday delegation.
40:44ENGrant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.
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