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1,661개정렬
35:19EN
AI Engineer· 2026년 10월 25일SallyAnn 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.
1:50:48EN
Y Combinator· 2026년 10월 24일Why 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.
1:13:26EN
20VC with Harry Stebbings· 2026년 10월 24일팟캐스트 · 2명Naveen Rao on Energy, AI Hardware, Verification and the Future of Robotics게스트 Naveen Rao · 진행자 Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.
34:11EN
GOTO Conferences· 2026년 10월 23일Anatoliy 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.
34:35EN
SemiAnalysis· 2026년 10월 23일팟캐스트 · 3명SemiAnalysis on ASML's Hybrid-Bonding Patents, HBM Economics and the Next Tool Ecosystem게스트 Sherry Zhang, Howie · 진행자 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.
1:00:39EN
a16z· 2026년 10월 23일팟캐스트 · 3명Amazon CEO Andy Jassy on the $220 Billion AI Buildout게스트 Andy Jassy · 진행자 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.
1:09:00EN
Dwarkesh Patel· 2026년 10월 22일팟캐스트 · 9명Dwarkesh Patel: What will computer chips look like in 2045?게스트 Chris Auth, Kevin Fischer, Jack Kavalieros, Tyler Osborn, Pushkar Ranade, Gary Dickerson, Peter Wennink, Elon Musk · 진행자 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.
59:41EN20VC with Harry Stebbings· 2026년 10월 22일팟캐스트 · 3명20VC: Venture Fund Size, AI Valuations and the Changing Software Market게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O'Driscoll debate venture concentration, infrastructure risk, code review and the assumptions behind fast-growing AI companies.
1:25:33EN
Latent Space· 2026년 10월 22일팟캐스트 · 2명Why GPU Capacity Comes in Three-Year Rectangles — Erik Bernhardsson, Modal게스트 Erik Bernhardsson · 진행자 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.
57:47EN
The Builders· 2026년 10월 22일Peter Thiel on AI Acceleration, Global Power, and the Values of Its Builders게스트 Peter Thiel · 진행자 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.
1:56:28EN
The Pragmatic Engineer· 2026년 10월 21일팟캐스트 · 2명Will Larson: The Revised Rules of Engineering Management게스트 Will Larson · 진행자 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.
1:59:52EN
Zhang Xiaojun Podcast· 2026년 10월 21일팟캐스트 · 2명David Qian on Succession, Robotics, and Finding His Own Ambition게스트 David Qian (Qian Cheng) · 진행자 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.
37:14ENThe Builders· 2026년 10월 20일Elon Musk on AI Control, Robot Abundance, and His Regrets About DOGE게스트 Elon Musk · 진행자 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.
1:19:50EN20VC with Harry Stebbings· 2026년 10월 19일팟캐스트 · 2명Sameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company Culture게스트 Sameer Dholakia · 진행자 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.
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 17일팟캐스트Claude Changed the Password. The Steering Wheel Was Already Optional진행자 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.
1:03:05EN20VC with Harry Stebbings· 2026년 10월 17일팟캐스트 · 2명Harrison Chase on Building Reliable Agents, Model Routing and Memory게스트 Harrison Chase · 진행자 Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.
40:44EN
3Blue1Brown· 2026년 10월 16일Grant 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.
2:51:18ENZhang Xiaojun Podcast· 2026년 10월 15일팟캐스트 · 2명Lindon Gao on Building Dyna Robotics and Finding a Path Through the Fog게스트 Lindon Gao · 진행자 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.
1:17:09EN20VC with Harry Stebbings· 2026년 10월 15일팟캐스트 · 3명20VC on Pro Rata Rights, AI Pricing and the Changing Software Market게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 15일팟캐스트 · 2명The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurity진행자 Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.
56:49EN
Stanford AI Club· 2026년 10월 15일Alfred Lin on Building in the AI Era: The Diffusion Gap, Founder Conviction, and Fire and IceAlfred Lin, Jason Zhang, Tanvir Bhathal · Sequoia CapitalAt Stanford AI Club, Sequoia’s Alfred Lin explains where he sees opportunity in AI and why learning, human understanding, and operating discipline still shape enduring companies.
2:17:48ENCognitive Revolution "How AI Changes Everything"· 2026년 10월 14일팟캐스트Agent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargain진행자 Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.
1:08:02EN
Sequoia Capital· 2026년 10월 13일팟캐스트AlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.
31:00EN
AI Explained· 2026년 10월 12일Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.더 보기1,661개 중 24개 표시