YoutuBlog（HackerTube）：YouTube の講演とポッドキャストを読む
最新の記事
4,536 件並び順
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.
18:55EN
Citadel Securities· 2026年10月26日ポッドキャスト · 4 人Jeff Maurone on Citadel Securities’ Market Analytics and TechnologyThe technology COO describes tools for market positioning, credit spreads and client questions, and the research infrastructure behind them.
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.
19:43EN
AI 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.
44:58ENCitadel Securities· 2026年10月26日ポッドキャスト · 2 人Mario Draghi on Europe’s Growth, Energy and Security Choicesゲスト Mario Draghi · ホスト Lisa AbramowiczIn an October 2026 conversation with Lisa Abramowicz, the former ECB president discusses fiscal pressures, AI, energy and European integration.
1:33:33EN
Machine Learning Street Talk· 2026年10月26日ポッドキャスト · 6 人Kevin Hartnett on Lean, Mathematical Proof and the Limits of AI Verificationゲスト Kevin Hartnett, Leonardo de Moura, Kevin Buzzard, Jeremy Avigad, Paul Lessard · ホスト Tim ScarfeThe story of Lean shows how mathematicians can check increasingly complex arguments—and why a correct formal proof still leaves room for questions about meaning and understanding.
45:34ENCitadel 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.
0:36ENMatthew Berman· 2026年10月25日Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.
15:27ENAI Engineer· 2026年10月25日What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.
19:37ENAI Engineer· 2026年10月25日Jay Sahnan and Arik Bird on Building Financial Agents for the Whole WebJay Sahnan, Arik Bird · BrowserbaseBrowserbase’s Jay Sahnan and Arik Bird show how browser agents reach financial data hidden behind logins and bot defenses. Their Ramp, Bill, and Stripe examples connect reliable cloud browsers with Stagehand’s more adaptive controls.
1:08EN
The Builders· 2026年10月25日Elon Musk Proposes Competitor Review Before AI Model Releasesゲスト Elon Musk · ホスト Walter IsaacsonA short exchange with Walter Isaacson about safety coordination.
1:25:47EN
Lenny's Podcast· 2026年10月25日ポッドキャスト · 2 人Rob Snyder’s PULL Framework for Finding Early Demandゲスト Rob Snyder · ホスト Lenny RachitskyA practical conversation about customer urgency, alternatives, early sales and retention.もっと見る4,536 件中 24 件を表示