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スライド 10 枚56:01EN
AI 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.評価とオブザーバビリティエージェント工学Sandboxes & isolation+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 32 枚1:50:48EN
Y Combinator· 2026年10月24日Why Inference Matters 12× More Than TrainingFrançois Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club walks the inference stack from an API request down to GPU kernels. Four talks from Together AI, Ollama, Luminal, and SGLang argue that serving quality, not just training FLOPs, is where most of the compute and the money now sit.InferenceGPU programming & kernelsKV caching & prefix reuse+2
1:13:26EN
20VC with Harry Stebbings· 2026年10月24日ポッドキャスト · 2 人Naveen Rao on Energy, AI Hardware, Verification and the Future of Roboticsゲスト Naveen Rao · ホスト Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.EnergySemiconductorsInference+2
スライド 2 枚32:20EN
MBMatthew Berman· 2026年10月23日Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
スライド 5 枚34:11EN
GOTO Conferences· 2026年10月23日Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.開発ワークフローとテストCode review & verificationオブザーバビリティと信頼性+2
スライド 3 枚34:35EN
SemiAnalysis· 2026年10月23日ポッドキャスト · 3 人SemiAnalysis on ASML's Hybrid-Bonding Patents, HBM Economics and the Next Tool Ecosystemゲスト Sherry Zhang, Howie · ホスト Jordan NanosJordan Nanos, Sherry Zhang and Howie examine a track-based bonding design that brings the wafer to the die, then explain why adoption depends on precision, cleanliness, economics and a changing supply chain.SemiconductorsインフラとデプロイGeopolitics
1:00:39EN
a16z· 2026年10月23日ポッドキャスト · 3 人Amazon CEO Andy Jassy on the $220 Billion AI Buildoutゲスト Andy Jassy · ホスト Ben Horowitz, Erik TorenbergEven at roughly $220 billion of 2026 CapEx, Jassy says Amazon is still turning away AI demand. He tells Ben Horowitz and Erik Torenberg why AWS could become a trillion-dollar run-rate business, and why inference cost, custom chips, and smaller teams matter more than squeezing old customers.AI StrategyインフラとデプロイSemiconductors+2
スライド 19 枚1:09:00EN
Dwarkesh Patel· 2026年10月22日ポッドキャスト · 9 人Dwarkesh Patel: What will computer chips look like in 2045?ゲスト Chris Auth, Kevin Fischer, Jack Kavalieros, Tyler Osborn, Pushkar Ranade, Gary Dickerson, Peter Wennink, Elon Musk · ホスト Dwarkesh PatelAfter two days inside Intel’s most advanced fab, Dwarkesh Patel walks through gate-all-around, backside power, High-NA EUV, ruthenium, CFET, and hybrid bonding — and asks Intel’s leadership how the industry can possibly meet AI’s 3×-a-year compute demand when the world’s chipmaking tools cannot.SemiconductorsAI cost & performanceインフラとデプロイ+2
59:41EN
20VC with Harry Stebbings· 2026年10月22日ポッドキャスト · 3 人20VC: Venture Fund Size, AI Valuations and the Changing Software Marketゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O'Driscoll debate venture concentration, infrastructure risk, code review and the assumptions behind fast-growing AI companies.Venture CapitalInvestingAI cost & performance+2
1:25:33EN
Latent Space· 2026年10月22日ポッドキャスト · 2 人Why GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, Modalゲスト Erik Bernhardsson · ホスト Vibhu SapraModal’s CEO tells Latent Space why AI demand almost never looks like a three-year GPU contract, how the company pools compute across thousands of customers, and why sandboxes grew from a product they almost killed into a third of revenue.インフラとデプロイSandboxes & isolationAI cost & performance+2
57:47EN
The Builders· 2026年10月22日Peter Thiel on AI Acceleration, Global Power, and the Values of Its Buildersゲスト Peter Thiel · ホスト Walter IsaacsonWalter Isaacson challenges Peter Thiel on AI risk, concentrated power, and the moral responsibilities of visionary founders. Thiel argues that stopping progress carries dangers of its own.AI SafetyPolitical PhilosophyFounders+2
1:00:34EN
a16z· 2026年10月22日ポッドキャスト · 4 人Marc Andreessen, Chris Dixon and Ben Horowitz on AI and the Frontier for Foundersゲスト Chris Dixon, Marc Andreessen, Ben Horowitz · ホスト Erik TorenbergThe a16z partners explain their expanded Frontier mandate and why they think AI is widening the possibilities for entrepreneurs, open models and new media.Venture CapitalAI startups & small teamsAI Strategy+2
1:56:28EN
The Pragmatic Engineer· 2026年10月21日ポッドキャスト · 2 人Will Larson: The Revised Rules of Engineering Managementゲスト Will Larson · ホスト Gergely OroszThe 2010s taught engineering managers never to make a technical decision again. Will Larson, CTO of Imprint and author of Staff Engineer, argues that era is over: managers who cannot get back into the work are in a career trap.ManagementLeadershipCareer Growth+2
1:59:52EN
Zhang Xiaojun Podcast· 2026年10月21日ポッドキャスト · 2 人David Qian on Succession, Robotics, and Finding His Own Ambitionゲスト David Qian (Qian Cheng) · ホスト 张小珺Ecovacs CEO David Qian reflects on inheriting a founder-built company, learning to lead through mistakes, and choosing a patient path in robotics. His account treats succession as an ongoing effort to build the company for a new era, not a finish line.企業と戦略LeadershipCompany Building+2
45:08EN
MBMatthew Berman· 2026年10月21日Sam Altman on AI Discovery, Consciousness, Compute and a Human-Centered FutureMatthew Berman, Sam Altman · Forward FutureIn a conversation with Matthew Berman, Altman discusses scientific progress, personal assistants, recursive self-improvement and the importance of human agency.AI for sciencePersonal agentsConsciousness+2
37:14EN
The Builders· 2026年10月20日Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGEゲスト Elon Musk · ホスト Walter IsaacsonWalter Isaacson asks Elon Musk how humanity can remain safe and find purpose as AI grows more capable, and challenges him on politics, empathy, and the future he is building.AI SafetyRoboticsAGI(汎用人工知能)+2
1:19:50EN
20VC with Harry Stebbings· 2026年10月19日ポッドキャスト · 2 人Sameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company Cultureゲスト Sameer Dholakia · ホスト Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.Venture CapitalAI StrategyLeadership+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
1:03:05EN
20VC with Harry Stebbings· 2026年10月17日ポッドキャスト · 2 人Harrison Chase on Building Reliable Agents, Model Routing and Memoryゲスト Harrison Chase · ホスト Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestration評価(Evals)+2
1:48:29EN
JSJane Street· 2026年10月16日How AI Is Changing Programming: John Krazit and Ron MinskyRon Minsky, John Krazit · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.コーディングエージェントDeveloper productivity評価(Evals)+2
スライド 20 枚40:44EN
3Blue1Brown· 2026年10月16日Grant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.MathematicsAI for scienceHuman-AI Collaboration+2
2:51:18EN
Zhang Xiaojun Podcast· 2026年10月15日ポッドキャスト · 2 人Lindon Gao on Building Dyna Robotics and Finding a Path Through the Fogゲスト Lindon Gao · ホスト 张小珺Dyna Robotics CEO Lindon Gao explains why his company builds intelligence through real workflows, how hardware and research must evolve together, and how a founder can find clarity by letting go of the need to be right.RoboticsProduct Strategyモデルと学習+2
1:17:09EN
20VC with Harry Stebbings· 2026年10月15日ポッドキャスト · 3 人20VC on Pro Rata Rights, AI Pricing and the Changing Software Marketゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.Venture CapitalAI cost & performanceRobotics+2
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