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AI Engineer今日 +8GOTO Conferences今日 +2Latent Space今日 +2Invest Like The Best今日 +1Conversations with Tyler今日 +1Matthew Berman昨日 +1Theo - t3․gg昨日 +1a16z昨日 +1The Builders昨日 +1Chris Williamson昨日 +1

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1:37:08EN

Machine Learning Street Talk· 2026年11月2日ポッドキャスト · 2 人Joscha Bach on Consciousness, Causal Patterns and Machine MindsTSJBゲスト Joscha Bach · ホスト Tim ScarfeA discussion of a speculative machine-consciousness hypothesis, the limits of behavioral tests and competing accounts of mind.ConsciousnessPhilosophy of MindCognitive Science+1

スライド 2 枚16:46EN

Theo - t3․gg· 2026年11月2日Theo Browne on Claude Ultra, Five-Hour Limits and SDK UsageTheo Browne · Ping LabsA breakdown of the renamed subscription tier, verification and reported differences between interactive and SDK usage.コーディングエージェントDeveloper productivity開発ワークフローとテスト

1:43:15EN

Chris Williamson· 2026年11月2日ポッドキャスト · 2 人Joe Hudson on Decisions, Fear and Living by Your PrinciplesCWJHゲスト Joe Hudson · ホスト Chris WilliamsonCoach Joe Hudson joins Chris Williamson to explore indecision, emotional avoidance, personal principles and the value of learning through action.Decision MakingPsychologyPersonal Growth+2

スライド 4 枚15:51EN

AI Engineer· 2026年11月2日Adam Nahari: Six Moves to Turn AI Pilots Into Financial ImpactAdam Nahari · ApolloAn airline crew-scheduling example shows why financial outcomes depend on workflow redesign, adoption and disciplined measurement.エンタープライズ AI企業と戦略Productivity

1:01:08EN

Unsupervised Learning: With Jacob Effron· 2026年11月2日ポッドキャスト · 2 人Nebius CTO Danila Shtan on AI Clouds, Inference and Competition with HyperscalersJEDSゲスト Danila Shtan · ホスト Jacob EffronDanila Shtan tells Jacob Effron how Nebius builds AI infrastructure, where inference remains inefficient and why he expects larger clouds to compete more aggressively.インフラとデプロイInferenceDistributed training & inference+2

44:57EN

a16z· 2026年11月2日ポッドキャスト · 3 人Tutor Intelligence CEO Josh Gruenstein on Building Robots for Real WorkMCRRJGゲスト Josh Gruenstein · ホスト Martin Casado, Raghu RaghuramJosh Gruenstein joins Martin Casado and Raghu Raghuram to discuss human tutors, robot manufacturing and the economics of factory automation.RoboticsAI agentsインフラとデプロイ+2

スライド 7 枚40:04EN

GOTO Conferences· 2026年11月2日Sophia Drossopoulou: Verifying Trusted Code in an Open WorldSophia Drossopoulou · Imperial College LondonCapabilities, scoped invariants and explicit trust assumptions help reason about effects when trusted code calls unknown objects.Code review & verificationProgramming LanguagesSoftware engineering

スライド 4 枚51:06EN

GOTO Conferences· 2026年11月2日Kent Beck: Build AI Programming Tools for Human NeedsKent BeckThe “genie” can amplify healthy or unhealthy development practices. Beck calls for tools that preserve learning, connection and future options.コーディングエージェントSoftware engineeringDeveloper productivity+1

1:07:22EN

Latent Space· 2026年11月2日ポッドキャスト · 3 人Building Legal AI Agents Without Seeing Client Data: Legora's Jacob LauritzenSwBCJLゲスト Jacob Lauritzen · ホスト swyx, Basil ChathaLegora's CTO explains how its team evaluates legal agents, designs review workflows and builds around the confidentiality of client matters.AI agentsエンタープライズ AI評価（Evals）+2

スライド 3 枚20:39EN

AI Engineer· 2026年11月2日Sagar Batchu: Authorizing AI Agent Actions Before They Reach an APISagar Batchu · SpeakeasyA proposed governance path combines agent identity, permission ceilings, policy decisions and audit records.エージェント認証AI security安全性とガバナンス+1

スライド 2 枚20:15EN

AI Engineer· 2026年11月2日Will Brown on Training Models That Learn From Organizational WorkWill Brown · Prime IntellectPrime Intellect’s Will Brown describes how traces, evaluations and human decisions could support continual learning alongside frontier models.Continual learningAI Product Management評価（Evals）+2

スライド 5 枚18:33EN

AI Engineer· 2026年11月2日Zack Proser: Build a Factory to Help Others Tell Their StoriesZack Proser · WorkOSA WorkOS blog assistant and a bedtime-story app show how AI tools can share expertise while humans retain responsibility.CreativityContent StrategyAI agents+1

1:02:12EN

20VC with Harry Stebbings· 2026年11月2日ポッドキャスト · 2 人Modal CEO Erik Bernhardsson on Inference, Compute and Building an AI PlatformHSEBゲスト Erik Bernhardsson · ホスト Harry StebbingsErik Bernhardsson discusses GPU capacity, open models, sandbox growth and why Modal is expanding beyond a single infrastructure product.InferenceAI platform engineeringインフラとデプロイ+2

1:32:16ZH

硅谷101· 2026年11月2日MaxInsights 袁宇光：如何生产机器人第一视角训练数据ゲスト 袁宇光 · ホスト 陈茜从头戴设备、全球采集网络到模型评估与部署，袁宇光解释机器人数据生意的扩张及质量挑战。RoboticsData quality & curationScaling Laws+1

スライド 2 枚27:55EN

AI Explained· 2026年11月2日AI Safety, Model Releases and the Limits of UnderstandingAI Explained examines lab forecasts, safety commitments and competing model results, then argues for multiple safeguards as capabilities advance.AI Safety安全性とガバナンスModel Interpretability+2

スライド 3 枚18:57EN

AI Engineer· 2026年11月2日Andrew Norrish: Code Context for AI-Era Incident ResponseAndrew Norrish · SourcegraphA Sourcegraph engineer describes review pressure and bounded workflows for investigating, preventing and fixing incidents.コーディングエージェントオブザーバビリティと信頼性開発ワークフローとテスト+1

スライド 5 枚15:44EN

AI Engineer· 2026年11月1日Yijia Liang on Building Office-Compatible Engines for Finance AgentsYijia Liang · Compound AICompound’s approach combines shared agent inboxes, document engines and cited access to large data rooms.エージェント工学Software engineeringDeveloper productivity

スライド 5 枚16:37EN

AI Engineer· 2026年11月1日Nick Nisi: What a Fruit Fly Code Reviewer Reveals About Human ReviewNick Nisi · WorkOSA simulated fruit fly becomes an unlikely code reviewer—and a starting point for a team-owned automated review pipeline.開発ワークフローとテストコーディングエージェントSoftware engineering+1

18:52EN

AI Engineer· 2026年11月1日Hahnbee Lee and Lincoln Murr on Documentation and Payments for AI AgentsHahnbee Lee, Lincoln Murr · MintlifyAs agents increasingly read docs and use services, Mintlify and Coinbase describe the importance of accurate content, APIs, payment permissions and maintenance.エージェント工学Agentic commerceDeveloper productivity

1:27:47EN

Lenny's Podcast· 2026年11月1日ポッドキャスト · 2 人Hector Serrano on Building a Paid Creator Program at Wispr FlowLRHSゲスト Hector Serrano · ホスト Lenny RachitskyHow a creator-led growth team recruits, compensates and supports paid UGC creators—and uses founder storytelling alongside ads.Growth StrategyCreator EconomyContent Strategy+1

1:09:46EN

PragerU· 2026年11月1日Rob McCoy and Shabbos Kestenbaum on the Ten Commandments, Family and FaithShabbos Kestenbaum, Rob McCoy · PragerUA Christian pastor and an Orthodox Jewish host discuss the religious meaning of the commandments and their application to family, community and public life.ReligionPhilosophy

スライド18:45EN

AI Engineer· 2026年11月1日Ramakrishnan Lokanathan: Evaluate the AI Agent’s Job, Not Just Its AnswerRamakrishnan LokanathanA practical framework for testing complete AI workflows, combining human feedback and regression checks with more challenging evaluations.エージェント工学AI SafetyMachine Learning

27:34EN

Latent Space· 2026年10月31日ポッドキャスト · 3 人Joseph Kim on Building AI Tools for Financial WorkSwRiJKゲスト Joseph Kim · ホスト swyx, RichardOpenAI’s Joseph Kim discusses data, human review, taste and evaluations in building a financial-services product.金融 AIエンタープライズ AI人による検証（HITL）+2

17:42EN

PragerU· 2026年10月31日Tanya Tsikanovsky on Homelessness and Local Politics in West HollywoodShabbos Kestenbaum, Tanya Tsikanovsky · PragerUThe City Council candidate discusses housing, immigration and identity after a public comment at a Los Angeles council meeting.Political Philosophy

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