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Tom Reed 认为即使 AI 研发实现全自动化,也不会迅速产生通用超智能,因为真正的进步依赖于现实世界的反馈

来源作者:Garry Tan (@garrytan)原始来源:https://x.com/garrytan/status/2052975178343137636

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Tom Reed 认为即使 AI 研发实现全自动化,也不会迅速产生通用超智能,因为真正的进步依赖于现实世界的反馈。

正文 Markdown

I don't think automation of AI R&D will rapidly lead to domain-general super-intelligence. I think this will be true even if AIs can do *literally everything* a human AI researcher does today. Even after the full automation of AI R&D, further capabilities progress will only happen through (1) widespread deployment of AI throughout the economy, accompanied by data collection; and/or (2) the wholesale recreation of much of the economy by AI labs. Without access to the real-world signal provided by either of the above, I think that the only thing produced by automated AI researchers would be a "Goodhart Singularity". If I'm right, this is obviously good news. I make the case for this in a new piece on my substack