图灵奖得主 Rich Sutton 创立 Oak Lab，打造自主学习 AI 智能体

2024 年图灵奖得主、现代强化学习联合创始人 Richard Sutton 与 Khurram Javed 在加拿大多伦多创立初创公司 Oak Lab。

两人此前均任职于 John Carmack 的 AI 公司 Keen Technologies。

Sutton 批评当前深度学习方法"薄弱且低效"，认为需要"全新思路和彻底重构"。

Oak Lab 致力于构建能从环境中持续学习、构建内部世界模型并自主处理变化、评估与选择的 AI 智能体。

公司长期目标是打造一个"拥有万亿参数、能以 20 瓦功耗实时学习与规划的智能体"。

Richard Sutton, 2024 Turing Award winner and co-founder of modern reinforcement learning, has launched the startup Oak Lab in Toronto with Khurram Javed. Both previously worked at John Carmack's AI company Keen Technologies. Sutton calls：https://x.com/RichardSSutton/status/2076663628301058329 current deep learning methods "weak and inefficient" and says they "need not more tweaks, but fundamentally new ideas and a thorough reworking before they can provide a solid foundation for achieving the more ambitious goals of AI."

His recent statements hint at what he's after. In June, he argued：https://the-decoder.com/turing-award-winner-richard-sutton-says-pure-generative-ai-cant-do-real-science/ that generative AI is good at imitation but can't evaluate its own outputs, making it incapable of real discovery. He wants to build AI agents that learn continuously from their environment：https://the-decoder.com/the-next-leap-in-ai-depends-on-agents-that-learn-by-doing-not-just-by-reading-what-humans-wrote/, construct internal world models, and handle variation, evaluation, and selection on their own. Oak Lab：https://oaklab.ai/ is built around that idea. Like Keen, the company bets on reinforcement learning and the conviction that AI should learn from experience during operation rather than train once on static datasets：https://oaklab.ai/posts/learning-from-experience-instead-of-curated-datasets. The long-term goal is an agent with "a trillion parameters that learns and plans in real time with 20 watts of energy."

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