Aaron Levie：AI 训练模型能力或引发递归自我改进
It’s incredible to have reached a threshold where it’s practical that AI will be better at training models than humans are so quickly. One day recursive self im
Box CEO Aaron Levie 认为，AI 已跨过“比人类更擅长训练模型”的实用门槛，递归自我改进（RSI）的迹象开始显现。他列举的驱动力包括模型能力超过多数人类工程师、长时运行智能体的 harness 与基础设施进步、数据增长，以及智能体可并行处理远超个人的任务与测试。他称这一飞轮将以前所未有的速度加速模型进展，不把 RSI 纳入预期可能是错误。
查看原帖SITUATION DETECTED: Anthropic’s Head of Global Affairs Michael Sellitto has told the IMF that Anthropic projects Claude could lead 80-90% of frontier model training by next year, up from 3% in April.
正文
当前显示原文，中文全文译文尚未就绪。
It’s incredible to have reached a threshold where it’s practical that AI will be better at training models than humans are so quickly. One day recursive self improvement feels far off, and the next we already have signs of what it will look like.
Model capability finally exceeding most human engineers, advancements in the harness and infra for long running agents, a growing array of data, and the ability to parallelize the agents to work on vastly more tasks and tests and approaches than any person could have before, creates an incredible flywheel.
This flywheel will almost certainly accelerate model progress far faster than we’ve seen before - or at a minimum enable pushing up the ceiling of the frontier at an insane rate. If you aren’t pricing in what RSI will lead to, that’s probably a mistake.