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40:33EN
All-In Podcast· Oct 19, 2026Podcast · 2 speakersDylan Field on Figma, AI and Why Design Still MattersGuest Dylan FieldThe Figma CEO discusses the failed Adobe acquisition, competition from AI model providers and the role of human intention in creative work.Product & UXGenerative mediaProduct Strategy
1:19:50EN
20VC with Harry Stebbings· Oct 19, 2026Podcast · 2 speakersSameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company CultureGuest Sameer Dholakia · Host 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.Venture CapitalAI StrategyLeadership+2
5 slides1:01:04EN
AI Engineer· Oct 18, 2026Nick 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.Coding agentsDeveloper workflows & testingEvals+2
4 slides31:47EN
Theo - t3․gg· Oct 18, 2026Theo 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.Prompting & in-context learningCoding agentsAgent engineering+2
5 slides44:30EN
AI Engineer· Oct 18, 2026Denys 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.AI in healthcareData quality & curationEvals+2
Slides0:22EN
Matthew Berman· Oct 18, 2026DeepSeek'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.KV caching & prefix reuseInferenceInfrastructure & deployment
4 slides49:35EN
AI Engineer· Oct 18, 2026OpenProse: 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.Agent orchestrationMulti-agent systemsWorkflow automation+2
3 slides0:42EN
Matthew Berman· Oct 17, 2026Matthew 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.Vibe CodingCoding agentsSoftware engineering+1
2 slides1:34:06EN
All-In Podcast· Oct 17, 2026Podcast · 4 speakersAI Infrastructure Debt, Anthropic’s IPO and a Debate Over SafetyGuest Ben Horowitz · Host 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.AI cost & performanceInfrastructure & deploymentInvesting+1
Slides0:58EN
Matthew Berman· Oct 17, 2026A 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.Coding agentsSoftware engineeringProduct Strategy
1:37:07EN
Y Combinator· Oct 17, 2026AI Safety as Engineering: Proofs, Stress Tests and Incident InvestigationClark Barrett, Mykel KochenderferStanford researchers discuss formal methods and safety-critical evaluation at YC Paper Club.AI SafetyCode review & verificationEvals
5 slides55:24EN
AI Engineer· Oct 17, 2026Eugene 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.AI cost & performanceInferenceModel routing & gateways+2
5 slides1:56:13EN
AI Engineer· Oct 17, 2026Laurie 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.EvalsEvals & observabilityAgent engineering+2
6 slides51:48EN
AI Engineer· Oct 17, 2026Nacho 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.Agent memoryAgent engineeringAI in finance+2
43:25EN
AI Engineer· Oct 17, 2026How 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.AI securityAgent engineeringSecurity & safety+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· Oct 17, 2026PodcastClaude Changed the Password. The Steering Wheel Was Already OptionalHost 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.AgentsSafety & governanceAgent engineering+3
1:03:05EN
20VC with Harry Stebbings· Oct 17, 2026Podcast · 2 speakersHarrison Chase on Building Reliable Agents, Model Routing and MemoryGuest Harrison Chase · Host Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestrationEvals+2
1:05:49EN
Hard Fork· Oct 16, 2026Podcast · 4 speakersJournalists Revisit Elizabeth Holmes Through a New DocumentaryGuest John Carreyrou, Caitlin Roper, Erin Griffith · Host Max ReadMax Read and three reporters discuss what access to a subject can and cannot reveal.HistoryAI Strategy
6 slides1:41:43EN
AI Engineer· Oct 16, 2026CJ 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.Multi-agent systemsAgent orchestrationAgent engineering+2
5 slides48:04EN
Theo - t3․gg· Oct 16, 2026Theo 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.Software engineeringInfrastructure & deploymentCoding agents+2
58:57EN
a16z· Oct 16, 2026Podcast · 2 speakersJad Naous and Martin Casado on AI Coding and Production OperationsGuest Jad Naous · Host Martin CasadoA discussion of engineering workflows, observability and whether agents can investigate failures in complex running systems.Observability & reliabilityCoding agentsSoftware engineering+1
1:48:29EN
Jane Street· Oct 16, 2026How 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.Coding agentsDeveloper productivityEvals+2
1:15:20EN
Latent Space· Oct 16, 2026Podcast · 6 speakersAI Power Users on Agents, Assistants and What WorksGuest Ben Davis, Ben Hylak, Dex Horthy, Allison Durham, Alex Volkov · Host swyxA Latent Space roundtable on product design, context, trust and everyday delegation.Agent engineeringProduct & UXAI Safety
20 slides40:44EN
3Blue1Brown· Oct 16, 2026Grant 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.MathematicsAI for scienceHuman-AI Collaboration+2
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