i dunno... i just read about alphago zero. Only needed to teach it the rules of the game, and it thrashed the current level of cumulative human expertise (alpha go) 100-0 matches, which had just thrashed a single human the year before.

This seems like its happening at some hedge funds as well for stock picking.

I guess the closed system of the game rules is more manageable than all of medicine, but... I can't agree with "stuck as the current level of expertise".

I wasn't able to determine from what I read yesterday if AlphaGo Zero played vs AlphaGo or vs itself (AlphaGo Zero). This probably isn't the place to ask, but if it is, do you know?

It was trained with self-play and evaluated on AlphaGo Lee (the version that beat Lee Sedol) and AlphaGo Master (the version that beat Ke Jie and I believe a number of online matches against top-ranked professional players).

>If every doctor trains an ML algo, then forgets how to be a doctor, then medicine stops dead at that level.

It's very rare that technology becomes ubiquitous and free very quickly. You will still need doctors in poor areas, destitute countries, and in the military.

Still, education and society would likely optimize for getting people to the edge of knowledge more quickly if ML algos truly took over a field like medicine.