필터 결과
20개정렬
30:11ZH
硅谷101· 2026년 10월 25일AI 如何重构跨境支付：从交易路由、风控到智能体商务게스트 Leo Li, Apple Gao · 진행자 陈茜硅谷101 从一笔跨境机票付款出发，拆解支付网络的复杂性，以及 Antom 如何把 AI 引入运营、风险判断和智能体交易。
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.
21:52EN
PragerU· 2026년 10월 24일Josef Witt-Doerring on Gen Z Mental Health, Isolation, and Psychiatric PrescribingShabbos Kestenbaum, Josef Witt-Doerring, Scott Galloway · PragerUOn The Brief, Shabbos Kestenbaum and psychiatrist Josef Witt-Doerring discuss why young adults are struggling, how prescribing incentives shape care, and the place of relationships and daily habits in treatment.
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.
59:41EN
20VC 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.
1:17:09EN20VC 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.
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.
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.
1:15:51EN20VC with Harry Stebbings· 2026년 10월 8일팟캐스트 · 4명The AI Race, Founder Loyalty and the New Rules of Enterprise Software게스트 Dev Ittycheria, Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Dev Ittycheria, Jason Lemkin and Rory O’Driscoll debate model competition, startup exits and what happens when AI agents choose vendors.
38:10EN
Google DeepMind· 2026년 10월 1일From deepfakes to DNA: how SynthID watermarks AIHannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry sits down with Pushmeet Kohli and Jeremy Ratcliffe to explain SynthID: a mathematical watermark now used on text, images and video, and being extended to protein sequences so DNA synthesis companies can tell AI-designed molecules from nature.
34:07EN
Zhang Xiaojun Podcast· 2025년 4월 26일팟캐스트 · 3명Ola Källenius on Mercedes-Benz’s Next Transformation: EVs, AI, and Modern Luxury게스트 Ola Källenius · 진행자 张小珺Mercedes-Benz CEO Ola Källenius describes a century-scale shift driven by zero-emission powertrains, software, and AI. He explains why the company is expanding electric models while protecting the craftsmanship, safety, and desirability that define its luxury position.
2:29:41ZHZhang Xiaojun Podcast· 2025년 4월 7일팟캐스트 · 4명陈建宇：机器人基座模型如何走向通用 VLA게스트 陈建宇 · 진행자 张小珺从 SayCan、RT-2 到 Diffusion Policy，清华助理教授、星动纪元创始人陈建宇梳理机器人模型从借用语言模型到端到端 VLA 的路线。关键难题仍是多样化数据、跨本体泛化和高频动作控制。
1:27:02ZHZhang Xiaojun Podcast· 2024년 9월 5일팟캐스트 · 3명广密：Self-play RL 可能开启 AGI 的新 Scaling Law게스트 广密 · 진행자 张小珺广密认为，纯靠语言预训练扩展模型的边际收益可能正在减弱，self-play 强化学习是更值得押注的新路径。它能否泛化到代码、视频、机器人和更广的领域，将决定下一阶段的 AGI 竞赛。
49:41ZHZhang Xiaojun Podcast· 2024년 8월 17일팟캐스트 · 3명傅盛：大模型是生产力革命，机器人迎来新的窗口게스트 傅盛 · 진행자 张小珺傅盛认为，大模型的核心是逻辑与推理能力，它带来的变化更像蒸汽机，而不是一次普通的互联网迭代。从平民化模型、服务机器人到创业者如何面对低谷，他也回看了自己的判断与心境。
1:07:14ZHZhang Xiaojun Podcast· 2024년 8월 17일팟캐스트 · 3명王亚军：情商不是组织的万能解法게스트 王亚军 · 진행자 张小珺龙湖前首席战略官王亚军谈情商、理性与组织协作：个人靠情商适应环境，企业却需要可扩展的共同方法。高管若只靠揣摩和关系维持运转，决策就会逐渐失去现实感。
1:35:39EN
Lenny's Podcast팟캐스트 · 3명Make Time: Pick a Daily Highlight and Build Barriers Against Distraction게스트 Jake Knapp, John Zeratsky · 진행자 Lenny RachitskyJake Knapp and John Zeratsky walk through their four-step Make Time framework (highlight, laser, energize, reflect) and close with a short look at the design sprint.
1:46:33ENLenny's Podcast팟캐스트 · 3명From Chaos to a Failure Map: A Hands-On Primer on AI Evals게스트 Hamel Husain, Shreya Shankar · 진행자 Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.
1:47:58ENLenny's Podcast팟캐스트 · 3명Bridging the Divide: How Community Notes Built a Trusted Fact-Checking System on Disagreement게스트 Keith Coleman, Jay Baxter · 진행자 Lenny RachitskyKeith Coleman and Jay Baxter, the team behind Community Notes, explain how the algorithm works, how a tiny team built it, and why it survived four leaders at Twitter and X.