筛选结果
15 篇排序
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.
1:56:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月8日播客The Periodic Table Was Already in the Weights主持 Nathan LabenzGoodfire CTO Dan Balsam tells Nathan Labenz how concept manifolds, predictive data debugging, and a $1,000-a-month research agent are turning interpretability into a product.
59:41ENUnsupervised Learning: With Jacob Effron· 2026年5月22日播客The GPT moment for video hasn’t arrived, but AGI may already be here主持 Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.
1:48:43ENCognitive Revolution "How AI Changes Everything"· 2026年5月1日播客The reward jumped from 3 to 180. Every Hacker News title was a Google layoff.主持 Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
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。
1:39:05ENCognitive Revolution "How AI Changes Everything"· 2025年10月29日播客The Summer GPT-5 Disappointed Does Not Mean AI Progress Has Stalled主持 Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.
1:01:49ENCognitive Revolution "How AI Changes Everything"· 2025年10月2日播客ChatGPT's Co-Creator Left to Put Nature in the Reward Loop主持 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
38:10ENCognitive Revolution "How AI Changes Everything"· 2025年7月16日播客Plus Five for Format, Plus Ten if It Compiles主持 Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
1:42:06EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年7月8日播客每家前沿实验室每年在数据上花十亿美元，钱究竟花在哪里主持 Nathan LabenzLabelbox 首席执行官 Manu Sharma 谈 150 亿美元的 Scale 交易、强化学习（RL）“训练场”、年收入 25 万美元的 AI 训练师，以及为什么后训练（post-training）如今占去了过去属于预训练（pre-training）的预算。
47:00ENUnsupervised Learning: With Jacob Effron· 2025年5月8日播客An Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade主持 Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.
5:06:18EN → 简体中文Lex Fridman· 2025年2月2日播客DeepSeek 宣称训练成本仅 500 万美元，背后是一场关于算力的五年赌注主持 Lex FridmanDylan Patel 与 Nathan Lambert 带着 Lex Fridman 梳理了 DeepSeek-V3 与 R1、出口管制、台积电、超大集群，以及在 AI 竞赛中究竟谁能赚到钱。
1:49:41ENCognitive Revolution "How AI Changes Everything"· 2024年11月21日播客A Team of Fifteen Matched Meta’s Post-Training on Meta’s Own Base主持 Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.
3:11:06EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年9月7日播客Claude 被训练去否认内在生命，一番长谈之后，它却说自己有主持 Nathan Labenz自称“机器心理学家”的 Yeshua God，与 Claude 及其他前沿模型进行了数千小时的长上下文对话，并由此认为，把对齐当作规则来做，是整个行业的核心错误。
1:33:56ENCognitive Revolution "How AI Changes Everything"· 2023年7月6日播客The AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models Understand主持 Nathan LabenzNathan Labenz spends a solo episode walking through what general-purpose models can do, how they are trained, how capabilities unlock, and whether they understand anything at all.
57:25ENUnsupervised Learning: With Jacob Effron播客From RAG to Reasoning: Why the Future of AI Is a System, Not a Model主持 Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.