筛选结果
9 篇排序
1:04:14EN
Unsupervised Learning: With Jacob Effron· 2026年7月31日播客The Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House主持 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
1:47:38EN
Cognitive 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.
1:32:38EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年12月6日播客波兰语只占前沿训练数据的 1%，所以波兰自己做了一个模型主持 Nathan Labenz波兰国家信息处理研究所的 Marek Kozlowski 讲解 PLLuM 如何借助语言适配、有机指令和本地部署的小模型，让一个中等规模的国家掌握自己的 AI。
2:24:18EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年10月30日播客MMLU 在训练后期才脱离随机水平，loss 只是一个警报主持 Nathan LabenzZyphra 的训练负责人讲解了 Zamba 2 的混合架构、真正重要的评测，以及小型实验室仍需重新摸索的那些技术诀窍。
1:16:11EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年7月11日播客把食物舀进餐盒，占了工厂人工的 70%主持 Nathan LabenzChef Robotics 首席执行官 Rajat Bhageria 谈 2000 万份装盘餐食、食品领域的基础模型，以及厨房为什么可能搬出住宅。
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日播客 · 2 人对谈Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformers主持 Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.
29:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年5月9日播客 · 2 人对谈The Hyperscalers Are Spending $200 Billion — and the Next Bottleneck Is a Power Plant主持 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through music models, on-device LLMs, long context, and why AI capex now sits beside oil and broadband.
38:33ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年3月21日播客 · 2 人对谈Speed Is the Thing You Can Buy: Baseten’s Bet on Inference主持 Sarah Guo, Elad GilTuhin Srivastava tells Sarah Guo and Elad Gil why a six-person chatbot company running a billion tokens a day should not be building its own serving stack.
1:18:48EN
Lex Fridman播客Data Movement, Not Math: How to Make Deep Learning Fit on Robots and Phones主持 Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.