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58 件
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スライド 7 枚18:56EN
AI Engineer· 2026年10月27日John Feminella: Five Controls for AI Agents, and the $900 Million Bank ErrorJohn Feminella · Two SigmaA payment mistake shows why good intentions and approval prompts are not enough. Feminella describes practical controls for giving agents useful autonomy.安全性とガバナンスエージェント工学金融 AI+2
スライド 5 枚18:12EN
AI Engineer· 2026年10月27日Tim Tyler: An Accountability Framework for AI Agents as a Digital WorkforceTim Tyler · GraviteeThe Gravitee speaker applies identity, sponsorship, authority and oversight to agents, drawing on how organizations manage human work.安全性とガバナンスエージェント工学エージェント認証+1
スライド 9 枚53:04EN
AI 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.エージェント工学評価(Evals)オブザーバビリティと信頼性+2
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
スライド 5 枚25:39EN
Matthew Berman· 2026年10月7日Personal AI Assistants in Practice: Briefs, Family Logistics, Email and BillsMatthew Berman · Forward FutureMatthew Berman describes how he connects assistants to everyday workflows and sets approval rules for consequential actions.Personal agentsWorkflow automationProductivity+1
スライド1:06EN
Matthew Berman· 2026年10月1日Using Meta’s Muse for Meal Planning, Refunds and To-Do ListsMatthew Berman · Forward FutureMatthew Berman demonstrates four tasks for Meta’s personal AI agent, with user approval before selected actions.Personal agentsAI agentsWorkflow automation+1
スライド 5 枚12:31EN
Matthew Berman· 2026年9月18日Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.AI agentsAI cost & performance評価とオブザーバビリティ+1
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月1日ポッドキャストFrom 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Exploreホスト Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.企業と戦略ファインチューニングAgent orchestration+3
スライド 6 枚27:40EN
Matthew Berman· 2026年2月11日How Matthew Berman Uses OpenClaw for Research, Meetings and Business OperationsMatthew Berman · Forward FutureA tour of a personal OpenClaw installation, from email-based CRM and video ideas to task approval, usage tracking and backups.Personal agentsWorkflow automationAgent memory+2
1:18:49EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月8日ポッドキャストIf AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous Forensicsホスト Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.セキュリティと安全性AI securityエージェント工学+3
39:47EN
Sequoia Capital· 2026年1月21日ポッドキャストThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.エージェントコンテキストエンジニアリングエージェント工学+3
48:00EN
Unsupervised Learning: With Jacob Effron· 2025年12月15日ポッドキャストA Two-Second Vote Is Training Models to Be Clickbaitホスト Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.評価とオブザーバビリティRL environments & simulatorsData quality & curation+3
43:38EN
Sequoia Capital· 2025年11月11日ポッドキャストA 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.マルチモーダルとメディアGenerative mediaMultimodal AI+3
44:47EN
Sequoia Capital· 2025年10月14日ポッドキャストThe Last Mile Is Where Contact-Center AI Gets RealCresta CEO Ping Wu and Sequoia's Doug Leone on why 17 to 20 million agents, legacy systems, and last-mile integration will decide who wins customer experience.企業と戦略音声 AICustomer support automation+3
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日ポッドキャスト · 2 人A Hundred People, a Billion in Revenue, and Zero Venture Moneyホスト Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.評価とオブザーバビリティData quality & curation人による検証(HITL)+3
37:37EN
Sequoia Capital· 2025年7月22日ポッドキャストA dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.エージェントComputer useエージェント工学+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月14日ポッドキャストTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Chargeホスト Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.エージェントエージェント工学安全性とガバナンス+3
41:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月12日ポッドキャスト · 2 人Ben Mann thinks superintelligence by 2028 is quite possibleホスト Sarah Guo, Elad GilAnthropic's co-founder tells No Priors how Claude 4 unlocked hours of unattended agent work, why the lab built Claude Code, and what an economic Turing test would actually measure.エージェントコーディングエージェントエージェント工学+3
37:45EN
Sequoia Capital· 2025年6月10日ポッドキャストCodex Is a Thought Experiment: What If the Agent Worked on Its Own Computer?OpenAI’s Codex team on training o3 to write mergeable PRs, running four copies of a 1 a.m. bug, and why the product only clicks once you stop pairing and start delegating.コーディングエージェントAgent orchestration開発ワークフローとテスト+3
44:21EN
Unsupervised Learning: With Jacob Effron· 2025年6月4日ポッドキャストMercor's CEO: Knowledge Work's Next Job Is Writing Evalsホスト Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.評価とオブザーバビリティ評価(Evals)Data quality & curation+3
51:19EN
Unsupervised Learning: With Jacob Effron· 2025年4月29日ポッドキャストSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Productホスト Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.プロダクトと UXAI in EducationProduct Strategy+3
1:11:05EN
Sequoia Capital· 2025年4月1日ポッドキャストThe Man Who Took HubSpot CRM to $40 Million Says the Data Model Has to Be Thrown OutDay.ai founder Christopher O’Donnell tells Sequoia’s Pat Grady why classic CRM is compressed pixel art, why full self-driving scared his users, and why every line of code has to make every other line more valuable.企業と戦略エンタープライズ AIProduct Strategy+3
38:43EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月27日ポッドキャスト · 2 人Two in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stayホスト Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.企業と戦略AI in healthcare音声 AI+3
50:35EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月13日ポッドキャスト · 2 人Copilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to Clearホスト Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.コーディングエージェント開発ワークフローとテストエージェント工学+3
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