筛选结果
67 篇排序
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。
2:00:51EN
Cognitive 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.
1:09:44EN
No 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.
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.
2:06:11ENCognitive Revolution "How AI Changes Everything"· 2026年8月14日播客Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned主持 Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.
2:16:29ENCognitive Revolution "How AI Changes Everything"· 2026年8月2日播客From Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safety主持 Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.
51:31EN
Sequoia Capital· 2026年7月21日播客They Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.
1:47:38ENCognitive Revolution "How AI Changes Everything"· 2026年7月4日播客19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip主持 Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.
1:06:36ENUnsupervised Learning: With Jacob Effron· 2026年6月12日播客Bills Doubled Overnight. Next, the APIs Might Vanish.主持 Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.
42:57ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年5月1日播客 · 2 人对谈Inference Is the Last Market: Baseten’s 30x Year主持 Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.
54:26ENCognitive Revolution "How AI Changes Everything"· 2026年2月22日播客Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready主持 Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
4:25:13EN → 简体中文
Lex Fridman· 2026年1月31日播客架构几乎没变，变的是数据、成本和开放权重主持 Lex FridmanNathan Lambert 和 Sebastian Raschka 带 Lex Fridman 回顾了这一年：训练方法和数据集的变化，远大于模型设计的变化。展望 2026 年，争论的焦点似乎是推理成本、智能体，以及真正开放的模型该归谁。
1:54:30ENCognitive Revolution "How AI Changes Everything"· 2026年1月9日播客From One in Ten Cancer Cells to One in a Million主持 Nathan LabenzNathan Labenz's solo AMA updates his son's lymphoma treatment, calls Claude Opus 4.5 software AGI, and ranks the live players of early 2026.
1:16:21ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年1月8日播客 · 2 人对谈Jensen Huang’s Year-End Case That Token Costs Can Fall a Billion-Fold Without Killing Jobs主持 Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO uses radiology, open source, and a $2 trillion R&D budget to argue that 2025’s extremes missed the stack.
1:18:40ENCognitive Revolution "How AI Changes Everything"· 2026年1月1日播客When AI Becomes the Oil Well: Luke Drago on the Intelligence Curse主持 Nathan LabenzThe Workshop Labs co-founder tells the FLI Podcast why a world of non-human production could recreate the resource curse — and how private data, open weights, and moonshot careers might still break it.
1:32:38ENCognitive Revolution "How AI Changes Everything"· 2025年12月6日播客Polish Is 1% of Frontier Training Data, So Poland Built Its Own Model主持 Nathan LabenzMarek Kozlowski of Poland's National Information Processing Institute explains how PLLuM uses language adaptation, organic instructions, and on-prem small models to keep a mid-size country in control of its AI.
1:09:48ENUnsupervised Learning: With Jacob Effron· 2025年12月5日播客China's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.主持 Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.
1:25:54ENCognitive Revolution "How AI Changes Everything"· 2025年12月3日播客Hours after training ends, Z.ai puts the weights on the internet主持 Nathan LabenzZixuan Li of Z.ai tells ChinaTalk how a Chinese lab ships GLM, treats open weights as a ticket into Western ecosystems, and still sees itself as an upstart.
43:09ENSequoia Capital· 2025年9月9日播客A $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.
47:18ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年8月14日播客 · 2 人对谈The Analyst Tracking 200 GPU Clouds Breaks Nvidia Into a Three-Headed Dragon主持 Sarah Guo, Elad GilSemiAnalysis founder Dylan Patel on OpenAI’s open-weight model, a coming neocloud wipeout, and why a chip startup has to beat Nvidia on hardware, networking, and software at once.
36:48ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年7月31日播客 · 2 人对谈The Weekend DeepSeek Dropped, the White House Called主持 Sarah Guo, Elad GilSriram Krishnan walks No Priors through America’s 28-page AI Action Plan, a token-share definition of winning, and why the lead over China is too small to take for granted.
2:14:55ENCognitive Revolution "How AI Changes Everything"· 2025年7月26日播客From Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI Governance主持 Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.
54:53ENUnsupervised Learning: With Jacob Effron· 2025年6月17日播客A Free Voting Board Burned $2 Million. Then It Raised $100 Million.主持 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.
1:30:57ENCognitive Revolution "How AI Changes Everything"· 2025年3月12日播客Ant's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech Tightrope主持 Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.加载更多已显示 24 篇，共 67 篇