最新の記事
4,156 件並び順
31:47EN
Theo - t3․gg· 2026年10月18日Theo 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.
44:30EN
AI Engineer· 2026年10月18日Denys 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.
0:22EN
Matthew Berman· 2026年10月18日DeepSeek'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.
49:35ENAI Engineer· 2026年10月18日OpenProse: 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· 2026年10月17日Matthew 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.
1:34:06EN
All-In Podcast· 2026年10月17日ポッドキャスト · 4 人AI Infrastructure Debt, Anthropic’s IPO and a Debate Over Safetyゲスト Ben Horowitz · ホスト 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.
0:58ENMatthew Berman· 2026年10月17日A 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.
1:37:07EN
Y Combinator· 2026年10月17日AI Safety as Engineering: Proofs, Stress Tests and Incident InvestigationClark Barrett, Mykel KochenderferStanford researchers discuss formal methods and safety-critical evaluation at YC Paper Club.
55:24ENAI Engineer· 2026年10月17日Eugene 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.
1:56:13ENAI Engineer· 2026年10月17日Laurie 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.
51:48ENAI Engineer· 2026年10月17日Nacho 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.
43:25ENAI Engineer· 2026年10月17日How 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.
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月17日ポッドキャストClaude Changed the Password. The Steering Wheel Was Already Optionalホスト 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.
1:03:05EN
20VC with Harry Stebbings· 2026年10月17日ポッドキャスト · 2 人Harrison Chase on Building Reliable Agents, Model Routing and Memoryゲスト Harrison Chase · ホスト Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.
1:05:49EN
Hard Fork· 2026年10月16日ポッドキャスト · 4 人Journalists Revisit Elizabeth Holmes Through a New Documentaryゲスト John Carreyrou, Caitlin Roper, Erin Griffith · ホスト Max ReadMax Read and three reporters discuss what access to a subject can and cannot reveal.
1:41:43ENAI Engineer· 2026年10月16日CJ 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 - t3․gg· 2026年10月16日Theo 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.
58:57EN
a16z· 2026年10月16日ポッドキャスト · 2 人Jad Naous and Martin Casado on AI Coding and Production Operationsゲスト Jad Naous · ホスト Martin CasadoA discussion of engineering workflows, observability and whether agents can investigate failures in complex running systems.
1:48:29EN
Jane Street· 2026年10月16日How 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.
40:44EN
3Blue1Brown· 2026年10月16日Grant 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.
18:57ENAI Engineer· 2026年10月16日How Redding Ridge Uses AI to Assemble Credit Portfolio DataMichael Manapat, Jack McDonald · RowspaceJack McDonald and Rowspace’s Michael Manapat discuss portfolio construction, reconciliation and the need to validate fragmented financial data.
50:31ENa16z· 2026年10月15日ポッドキャスト · 2 人Terry Angelos on Payment Credentials for AI Agentsゲスト Terry Angelos · ホスト Alex RampellA discussion of wallet competition, tokenized payments and who is responsible when an agent buys the wrong thing.
2:51:18EN
Zhang Xiaojun Podcast· 2026年10月15日ポッドキャスト · 2 人Lindon Gao on Building Dyna Robotics and Finding a Path Through the Fogゲスト Lindon Gao · ホスト 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.
1:39:53EN
Bg2 Pod· 2026年10月15日ポッドキャスト · 3 人Jensen Huang on AI Infrastructure Demand, Safety and the Next Decadeゲスト Jensen Huang · ホスト Brad Gerstner, Clark TangThe NVIDIA CEO discusses capacity, capital spending and open models on BG2.もっと見る4,156 件中 24 件を表示