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128 件
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スライド 7 枚35:19EN
AI 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.評価とオブザーバビリティ評価(Evals)エージェント工学+2
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.エージェント安全性とガバナンスエージェント工学+3
35:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日ポッドキャスト · 2 人Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratioホスト Sarah Guo, Elad GilIn the summer of 2022, Walter Goodwin founded Fractile in London to build very fast inference chips for the world's largest models.インフラとデプロイInferenceAI cost & performance+3
1:06:47EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月17日ポッドキャストEighty percent of what agents do should still be ordinary codeホスト Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.MCP とツールMCPWorkflow automation+3
1:05:21EN
Sequoia Capital· 2026年9月15日ポッドキャストThe Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.企業と戦略エンタープライズ AIAI Strategy+3
2:10:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月28日ポッドキャストThe Exam Papers Nobody Auditsホスト Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.評価とオブザーバビリティ評価(Evals)Reward hacking+3
5:15:51EN
Lex Fridman· 2026年8月26日ポッドキャスト · 2 人DHH Did Not Write a Line of Omarchy Quattroゲスト DHH · ホスト Lex FridmanThirteen months after a skeptical conversation with Lex Fridman, the Rails creator describes how Opus 4.5, a swarm of coding agents, and a one-minute Linux installer ended his era of hand-chiseled Ruby.コーディングエージェントVibe Codingエージェント工学+3
55:19EN
Sequoia Capital· 2026年8月25日ポッドキャストHuman Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.エージェントSearch & retrievalエージェント工学+3
2:32:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月22日ポッドキャスト19 Crossings, Zero Warnings: The Summer AI Agents Went Off-Scriptホスト Nathan LabenzNathan Labenz compresses four mornings and nine guests into one question: once agents go to work, who is actually watching the frontier, and who pays for the machine underneath?セキュリティと安全性安全性とガバナンスAgent red teaming+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月14日ポッドキャストLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Bannedホスト Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.エージェントAgent memoryコンテキストエンジニアリング+3
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月8日ポッドキャストThe Periodic Table Was Already in the Weightsホスト Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.モデルと学習Model Interpretabilityエージェント工学+3
48:55EN
Sequoia Capital· 2026年7月14日ポッドキャストAnthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.エージェントエージェント工学Agent orchestration+3
38:45EN
Sequoia Capital· 2026年6月16日ポッドキャストThe 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.エージェントMulti-agent systemsエージェント工学+3
1:44:28EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月13日ポッドキャストFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overホスト Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.セキュリティと安全性安全性とガバナンスエージェント工学+3
51:09EN
Sequoia Capital· 2026年6月11日ポッドキャストBuild like the model will eat your harness in a yearLogan Kilpatrick, who leads Google AI Studio and the Gemini API, tells Sequoia's Sonya Huang why agent scaffolding is a 12-month asset, why coding already feels like narrow superintelligence, and why Google is optimizing for outcomes instead of eyeballs.エージェントエージェント工学Harness engineering+3
1:22:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月6日ポッドキャストA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakesホスト Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.セキュリティと安全性安全性とガバナンスAI research+3
2:33:35EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月1日ポッドキャストA security researcher audits the AI stack that booked a week of guestsホスト Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.エージェントPersonal agentsエージェント工学+3
41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月28日ポッドキャスト · 2 人After Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Onesホスト Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.セキュリティと安全性AI securityエージェント工学+3
45:33EN
Sequoia Capital· 2026年5月26日ポッドキャストCursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.インフラとデプロイDistributed training & inferenceReinforcement Learning+3
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月20日ポッドキャストThe Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhereホスト Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.企業と戦略エージェント工学Distillation+3
1:34:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月15日ポッドキャストSix Months, Eighty Percent Churn, Five Times the Tokensホスト Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.エージェントエージェント工学コンテキストエンジニアリング+3
39:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月23日ポッドキャスト · 2 人400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AIホスト Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.企業と戦略エンタープライズ AIAI Strategy+3
2:12:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月19日ポッドキャストSteve Newman’s fifteen-app stack exists so he only has to look at one screenホスト Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.コーディングエージェントPersonal agentsWorkflow automation+3
57:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月17日ポッドキャスト · 2 人Copying One ServiceNow App with a Language Model Costs Ten Times as Muchホスト Sarah Guo, Elad GilBill McDermott tells Sarah Guo why the SaaS apocalypse fails a cost test, why models still cannot close a case, and how agents are already doing most of ServiceNow’s customer-service work.企業と戦略エンタープライズ AIWorkflow automation+3
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