I figure the main problem with a hard takeoff is lack of hardware capacity. The large labs are trying to improve as fast as they can but you can only do so many training runs. If you say to Claude Code try making a hundred improved versions of yourself, train them test them and then have the best three do that again, it's not going to go very well because you'll max out the compute which probably could have been used more efficiently by human researchers.