Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032

Today, I'm chatting with Ryan Greenblatt, who is the chief scientist at Redwood Research, where he focuses on technical AI safety and security work. Whether or not this turns out to be the case, I think is actually probably the most important question in the world right now.

It goes beyond the title with direct discussion of like, think, it's, including: I want to talk to you about recursive self-improvement.

1. 01This is the idea that once you build human-level intelligences, they quickly slingshot towards tens of billions of super intelligences, which are each individually more competent t
2. 02and right now of course we have like you know mythos 5 or whatever and maybe a somewhat better that model that anthropic has internally um and so that is just a huge amount of prog
3. 03So I want to evaluate all of these sub-arguments that lead to basically getting ASI pretty soon after this benchmark, which you're expecting by 2030 or something, right?