筛选结果
4 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.
59:41EN → 简体中文Unsupervised Learning: With Jacob Effron· 2026年5月22日播客GPT 时刻还没有降临到视频上，但 AGI 也许已经到来主持 Jacob Effron谷歌 I/O 2026 大会次日，Gemini 联合负责人 Oriol Vinyals 认为，世界模型、文件系统式记忆，以及复杂度无限的强化学习环境，将定义前沿模型的下一个时代。
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.
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.