筛选结果
7 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.
59:41ENUnsupervised 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.
58:46ENUnsupervised Learning: With Jacob Effron· 2026年4月9日播客Two Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028主持 Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.
1:03:00ENUnsupervised Learning: With Jacob Effron· 2026年1月29日播客A Model That Solves New Math Problems Every Week Still Isn't AGI主持 Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
1:02:05ENUnsupervised Learning: With Jacob Effron· 2025年9月24日播客$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math主持 Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.
57:31ENUnsupervised Learning: With Jacob Effron· 2025年5月22日播客The New Ruler for Models Is How Long They Can Work主持 Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.
44:34ENUnsupervised Learning: With Jacob Effron· 2025年2月19日播客The Cheaper Intelligence Gets, the More of It We'll Buy主持 Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.