Yes. It is a mistake to ignore the effects that the massive amounts of money are having, in any analysis of this sector. It’s the number 1 factor at this point, eclipsing reason and societal needs. “Gold rush” is an apt analogy.
I wonder if this is like when Thinking Machines Corporation hired Richard Feynman mostly to get a little clout. They didn't have a lot for him to do, and he thought they were a bunch of naive kids with an idea that would never work in the real world but had a fat pocketbook. In the end he was able to mathematically prove that they could safely do a hardware optimization, but they didn't believe him and tried to overprovision instead, but late in the design they ran short of transistors and had to trust his math. It worked, but the machine was still mostly useless even when it did work properly.
> University of Virginia professor Ken Ono, one of the world's most prominent mathematicians, joins AI startup Axiom Math, which is building an “AI mathematician”
I have no idea what he's planning to do, but this kind of thing just now becoming feasible.
I get the impression doing something like the title is a dream of many Chinese AI researchers, and why we [edit:see] them focusing on things like the mathematics competition datasets. I am slightly in this direction myself.
Can anyone remember a VC startup that announced they'd implement a complex product that is essentially research, got a lot of capital and then succeeded?
Truly complex novel products are made in secrecy. If you announce something, you want to cash in on the hype.
I always find this characterization baffling. Why does it matter if it's a 24 year-old vs 30, 35, or 50? Many aspects of life that we hold near and dear were created by very "young" people.
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[ 2.4 ms ] story [ 40.8 ms ] thread> University of Virginia professor Ken Ono, one of the world's most prominent mathematicians, joins AI startup Axiom Math, which is building an “AI mathematician”
I get the impression doing something like the title is a dream of many Chinese AI researchers, and why we [edit:see] them focusing on things like the mathematics competition datasets. I am slightly in this direction myself.
Not sure if you meant to imply otherwise, but Ken Ono is of Japanese decent.
Truly complex novel products are made in secrecy. If you announce something, you want to cash in on the hype.
Definitely
> has less bullshit
Is there a Theranos equivalent in the world of math research? I'd argue "very different flavor of bullshit", but not necessarily less of it.