最新の記事
4,142 件並び順
1:11:27EN
Invest Like The Best· 2026年10月27日ポッドキャスト · 2 人Cliff Sosin: What Remains Valuable When AI Intelligence Gets Cheapゲスト Cliff Sosin · ホスト Patrick O'ShaughnessyThe investor explores the limits of prediction, the economics of AI infrastructure and the assets that may complement abundant intelligence.
16:38EN
AI Engineer· 2026年10月27日Aiden Sochowski: Securing 300 Agents in a 60-Person CompanyAiden Sochowski · RunlayerRunlayer’s founding engineer explains what session monitoring revealed about agent permissions, prompt injection, tool errors and runaway cost.
55:06EN
SemiAnalysis· 2026年10月27日ポッドキャスト · 4 人Anthropic's S-1: Revenue, Compute Costs and the Race to ScaleThe SemiAnalysis panel examines Anthropic’s filing, from improving compute economics to customer concentration and competition.
1:19:47EN
Cheeky Pint· 2026年10月27日ポッドキャスト · 3 人Scott Kirby on United’s Fleet Bet, Starlink and Airline Economicsゲスト Scott Kirby · ホスト John Collison, Ben ThompsonUnited Airlines CEO Scott Kirby explains how he thinks about investing through downturns, building technology and running an airline network.
42:06EN
The Builders· 2026年10月27日Dario and Daniela Amodei on Building Anthropic, AI Safety, and Human Meaningゲスト Dario Amodei, Daniela Amodei · ホスト Walter IsaacsonThe Anthropic co-founders discuss the roots of their partnership, the challenge of keeping AI systems honest, and the choices facing a world of more capable models.
29:40EN
How I AI· 2026年10月26日ポッドキャスト · 2 人How Reddit Proto Connects Design, Live Data and Production Codeゲスト Blair Metcalf · ホスト Claire VoBlair Metcalf demonstrates Reddit’s internal prototyping harness and its design-system mapping for Figma and Cursor.
15:33EN
Jane Street· 2026年10月26日Figgie Strategy: Reading Hands, Winning Majorities and Pricing CardsBradley, Mike · Jane StreetJane Street traders Bradley and Mike analyze three games to show how private information, market competition and timing affect card prices.
56:01ENAI Engineer· 2026年10月26日Xander Song on Evaluating Agents with Harbor and PhoenixXander Song · Arize AIArize AI engineer Xander Song explains how Harbor runs realistic agent tasks in isolated sandboxes, and how his team uses Phoenix to compare prompt changes, inspect trajectories, and test a SQL tool.
22:33EN
GOTO Conferences· 2026年10月26日William Schor: From Unit Tests to Synthetic Canaries at NetflixWilliam Schor · NetflixHow generated workloads and production-like infrastructure help test a distributed key-value service.
1:05:44EN
Y Combinator· 2026年10月26日Marvin Schwaibold on AI-Powered Design, Interactive Prototypes and Better WebsitesAaron Epstein, Marvin Schwaibold · Y CombinatorShopify’s product design studio lead shows how he uses AI to build and refine interactions, then reviews six websites with Aaron Epstein.
3:34:27EN
Lex Fridman· 2026年10月26日ポッドキャスト · 4 人AI, Mathematics, and the Meaning of a Proofゲスト Steven Brunton, Ankur Moitra, Alex Kontorovich · ホスト Lex FridmanLex Fridman and three mathematicians discuss recent AI-generated research, hard open problems and what human understanding contributes.
19:43ENAI Engineer· 2026年10月26日Jack 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.
53:04ENAI Engineer· 2026年10月26日Fuad Ali: Building a Feedback Loop to Improve AI AgentsFuad Ali · Arize AIAn Arize workshop connects traces, failure datasets, evaluations, proposed fixes and experiments while keeping human judgment in the loop.
20:55ENAI Engineer· 2026年10月26日Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.
45:34EN
Citadel Securities· 2026年10月26日ポッドキャスト · 2 人Henry Paulson on AI Risk, U.S.–China Relations and Crisis Leadershipゲスト Henry M. Paulson, Jr. · ホスト Jim EspositoThe former Treasury secretary discusses today’s economic risks and lessons from the 2008 financial crisis.
30:37EN
Theo - t3․gg· 2026年10月26日Theo’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.
18:27ENAI Engineer· 2026年10月26日Daksh Gupta on Building a Better AI Code Review AgentDaksh Gupta · GreptileGreptile co-founder Daksh Gupta explains why a webhook plus a coding agent is not enough for reliable pull-request review—and how targeted prompts, incident data, model inversion, codebase context, browser testing, and task-specific model routing can help.
23:48EN
20VC with Harry Stebbings· 2026年10月26日ポッドキャスト · 2 人Satya Nadella on Zero Trust for AI and Why Every Company Should Own Its Intelligenceゲスト Satya Nadella · ホスト Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.
30:11ZH
硅谷101· 2026年10月25日AI 如何重构跨境支付：从交易路由、风控到智能体商务ゲスト Leo Li, Apple Gao · ホスト 陈茜硅谷101 从一笔跨境机票付款出发，拆解支付网络的复杂性，以及 Antom 如何把 AI 引入运营、风险判断和智能体交易。
17:56ENAI Engineer· 2026年10月25日How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.
35:19ENAI Engineer· 2026年10月25日SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.
0:26EN
Matthew Berman· 2026年10月25日Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.
20:58ENAI Engineer· 2026年10月25日Vinoo Ganesh on Making Financial AI Cite Every NumberVinoo Ganesh · KeplerKepler CEO Vinoo Ganesh explains why financial AI should retrieve and cite figures while deterministic software handles the math. His design makes traceability, retrieval quality, and tenant security part of the answer itself.
18:31ENAI Engineer· 2026年10月25日Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.もっと見る4,142 件中 24 件を表示