使用大量计算机并让它们自主思考,总是会胜过一群人告诉计算机该怎么想……苦涩的教训。
The All-In Podcast
The All-In Podcast7月13日 02:09
🚨 Chamath explains Grok 4's breakthrough and how Elon leapfrogged the competition in AI: @elonmusk and the team at xAI understood "The Bitter Lesson" by @RichardSSutton @chamath: "(The Bitter Lesson) basically says in a nutshell, that you're always better off, when you're trying to solve an AI problem, taking a general learning approach that can scale with computation. Because it ultimately proves to be the most effective." "The alternative would be something that's much more human labored and human involved that requires human knowledge." "So the first method, what it essentially allows you to do is view any problem as an endless, scalable search or learning task." "As it's turned out, whether it's chess, or Go, or speech recognition, or computer vision, whenever there was two competing approaches, one that used general computation and one that used human knowledge, the general computation problem always won." " And so it creates this bitter lesson for humans that want to think that we are at the center of all of this critical learning and all of these leaps, and what these results show is a general computational approach that doesn't require as much human labeling can actually get to the answer and better answers faster."
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