It's not that it's more impressive than solving Millenium Prize problems. It's that if a model can edit its own weights, then it can self-improve without having to undergo training, which means it can self-improve extraordinarily faster.

This is very dangerous because it allows AI capabilities to grow at a much faster rate than humans are able to keep up with.

It will just give the people better understanding. And the extent of the improvement is yet to be seen, it's likely that once you get all the obvious low hanging fruit it would be very hard to improve, the possibility space is just too wide.

If thats keeping you upright in your chair then buckle up, wait to the distributed systems version of the tech, its coming.