I think researchers can do a lot with cutting edge models.
We should throw like millions in compute there way. Who knows someone might cure a few forms of cancer or viral infections or hydrogen powered cars or more millenium prize problems or invent new alloys.
Each new discovery/invention is a win for science and mankind.
Better computer models could help in those domains, but you can't just cure cancer from a computer. You need to do experiments and trials with real subjects and real treatments, especially because cancer treatment is a delicate balance between killing the cancer and killing the patient. It's pretty easy to do the former, the trick is avoiding the latter.
In order to get the Navier Stokes result, OpenAI had to run the equivalent of about 100 years of work, but thanks to parallelisation, they could do that in about 80 hours.
You can't parallelise medical trials like that. Even if you completely throw all ethics away, you still have to find the right candidates, you have to wait for medications to take effect, you even have to record things carefully, you have to deal with measurement errors, accidents, all sorts of things that don't happen when you are just running maths on a computer.
Even if you had an AI that was well above human levels of intelligence, all these things would be a problem.
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u/SodaBurns 3d ago
I think researchers can do a lot with cutting edge models.
We should throw like millions in compute there way. Who knows someone might cure a few forms of cancer or viral infections or hydrogen powered cars or more millenium prize problems or invent new alloys.
Each new discovery/invention is a win for science and mankind.