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Zuxin Liu
@LiuZuxin
Post-training frontiers @OpenAI, PhD @CarnegieMellon | Automating myself…
加入 February 2017
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Execution is becoming abundant. Human attention is becoming scarce. I’m increasingly bottlenecked by my own bandwidth: keeping up with many parallel agents, deciding what deserves attention, and steering the promising branches. And almost any new idea is cheap enough to just try. As execution gets cheaper, human judgment becomes higher-leverage.
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Today we're releasing data on models accelerating research at OpenAI. Recursive self-improvement could be the most important contributor to AI capabilities over the next few years, but by default it will only be seen inside a few frontier AI labs. Being transparent is more urgent than ever, so we can inform the public discussion on whether and how to pace model development. I ask other AI companies to do the same.
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