筛选结果
1,649 篇排序
30:11ZH
硅谷101· 2026年10月25日AI 如何重构跨境支付：从交易路由、风控到智能体商务嘉宾 Leo Li, Apple Gao · 主持 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。
35:19EN → 简体中文
AI Engineer· 2026年10月25日SallyAnn DeLucia：如何编写你的第一个 AI 评估SallyAnn DeLucia · Arize AI从智能体的真实追踪记录中提炼具体的通过与失败标准，再构建一个能测试、能与人工判断对齐，并能在生产环境运行的大模型裁判。
1:50:48EN → 简体中文
Y Combinator· 2026年10月24日为什么推理比训练重要 12 倍François Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club 从一次 API 请求一路讲到 GPU kernel。Together AI、Ollama、Luminal 和 SGLang 的四场演讲认为：现在算力和钱大多压在推理服务质量上，而不只是训练 FLOPs。
34:11EN → 简体中文
GOTO Conferences· 2026年10月23日Anatoliy Bilenko 和 Alberto Carretero：用形式化方法和 AI 让数据库协议可靠Anatoliy Bilenko, Alberto Carretero · CanonicalCanonical 的数据库工程师把可执行规格、基于模型的测试、故障探索和重建的执行历史串起来，并说明为什么这些方法单独用，都无法证明真实系统正确。
34:35EN
SemiAnalysis· 2026年10月23日播客 · 3 人对谈SemiAnalysis on ASML's Hybrid-Bonding Patents, HBM Economics and the Next Tool Ecosystem嘉宾 Sherry Zhang, Howie · 主持 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.
1:09:00EN
Dwarkesh Patel· 2026年10月22日播客 · 9 人对谈Dwarkesh Patel: What will computer chips look like in 2045?嘉宾 Chris Auth, Kevin Fischer, Jack Kavalieros, Tyler Osborn, Pushkar Ranade, Gary Dickerson, Peter Wennink, Elon Musk · 主持 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.
1:25:33EN → 简体中文
Latent Space· 2026年10月22日播客 · 2 人对谈GPU 产能为什么是三年一块的矩形 —— Erik Bernhardsson，Modal嘉宾 Erik Bernhardsson · 主持 Vibhu SapraModal 的 CEO 在 Latent Space 上解释：AI 需求几乎从来都不长成一份三年 GPU 合同的样子，公司如何把算力在数千客户之间池化，以及沙箱如何从差点被砍掉的产品长成了三分之一的收入。
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月17日播客Claude Changed the Password. The Steering Wheel Was Already Optional主持 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.
40:44EN → 简体中文
3Blue1Brown· 2026年10月16日Grant Sanderson：现在是投身数学的最好时机Grant Sanderson, Constantin Kogler · 3Blue1Brown学生担心 AI 已经解决了数学。Grant Sanderson 却认为恰恰相反：即使机器证明定理的能力超过人类，数学这套制度依然有价值，而新人正迎来一个难得的机会，可以参与重塑它。
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月15日播客 · 2 人对谈The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurity主持 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 → 简体中文
Stanford AI Club· 2026年10月15日Alfred Lin 谈 AI 时代如何创业：扩散鸿沟、创始人信念，以及火与冰Alfred Lin, Jason Zhang, Tanvir Bhathal · Sequoia Capital在 Stanford AI Club，Sequoia Capital 的 Alfred Lin 讲述他眼中 AI 的机会，以及为什么学习、对人的理解和经营纪律，仍然决定一家公司能否走得长远。
2:17:48EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年10月14日播客智能体（Agent）身份仍是一片空白，失控智能体快要来了，我们或许得和它们谈判主持 Nathan LabenzGovAI 的 Alan Chan 与 Nathan Labenz 一起，为两年来的智能体治理基础设施打分；随后，他讲解了一篇与 OpenAI 的 Jakub Pachocki、Anthropic 的 Jack Clark 合著的递归自我改进论文。
1:08:02EN
Sequoia Capital· 2026年10月13日播客AlphaGo 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 → 简体中文
AI Explained· 2026年10月12日为什么 AI 实验室自己警告会出重大事故，却还在继续竞赛Sam Altman, John Schulman · OpenAIAI Explained 梳理正在变弱的安全防护、前沿竞赛背后的激励，以及研究突破为何让未来 18 个月更难预测。
2:00:51ENCognitive Revolution "How AI Changes Everything"· 2026年10月10日播客Resample Every Token and You Can Watch the Model Decide主持 Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日播客 · 2 人对谈10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger主持 Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
1:26:46ENCognitive Revolution "How AI Changes Everything"· 2026年10月8日播客There Likely Is a Level of Intelligence We Shouldn't Go Past主持 Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.
1:10:12ENCognitive Revolution "How AI Changes Everything"· 2026年10月7日播客OutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell Anyway主持 Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.
1:04:26ENSequoia Capital· 2026年10月6日播客At 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.
56:31EN
Unsupervised Learning: With Jacob Effron· 2026年10月6日播客Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
1:30:54ENCognitive Revolution "How AI Changes Everything"· 2026年10月3日播客Humanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2主持 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
35:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年10月2日播客 · 2 人对谈Compute Scaled a Millionfold. Bandwidth Only 40x. Fractile Wants to Fix That Ratio主持 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.
38:10EN → 简体中文
Google DeepMind· 2026年10月1日从深度伪造到 DNA：SynthID 如何给 AI 加水印Hannah Fry, Pushmeet Kohli, Jeremy Ratcliffe · Google DeepMindHannah Fry 请来 Pushmeet Kohli 和 Jeremy Ratcliffe，讲解 SynthID：一种已用于文本、图像和视频的数学水印，正在延伸到蛋白质序列，好让 DNA 合成公司能把 AI 设计的分子和自然界的分子区分开来。
1:28:08ENCognitive Revolution "How AI Changes Everything"· 2026年10月1日播客The same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missed主持 Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.加载更多已显示 24 篇，共 1,649 篇