哈萨比斯和大卫·西尔弗有一个执念，他们一开始就认为，通向AGI之路一定是强化学习，未来的AGI一定是一个单一的模型。所以他们这种执念，导致了他们的成功，最起码在游戏的领域。成功的原因我觉得很简单，因为游戏是一个规则相对明晰、边界相对清晰，奖励机制非常清晰，你可以用这种强化学习、试错、反馈机制，快速地优化。强化学习威力最大的这方面，可以发挥得淋漓尽致。
干基层工作，事事都得“服水土”
，更多细节参见clash下载
NYT Strands spangram answer todayToday's spangram is Spruced Up.
Carome’s comments occurred after the FDA approved the drug, even after the agency’s advisory committee—an independent group of outside scientists—voted unanimously they did not find evidence the drug worked, and even after the drug went through two Phase III trials, only to show failed, mixed, and controversial results.
IBM had already built document processing machines that interacted with their