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.
The commercial problem with Thinking Machines was that they had to ship a programmer with every one sold because almost no one knew how to program a SIMD machine in Occam
the full article as a lot more context, including the fact that he reached out to Hong to join her startup rather than vice versa. he seems to be excited about the problem they're attacking and has a good idea of what he can do with a "founding mathematician" title, coming up with problems that will guide their research.
> 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 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.
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.
I could review his published research, but in the interim, I had GPT painstakingly review the math in the image, and extrapolate the direction, which it considered to be a suggested hybrid successor to the Transformer for structured and scientific domains: https://chatgpt.com/share/6931c915-88c8-8012-9ca4-b0097e53e8...
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.
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.
Doubtful. I knew Ono as an undergrad at Wisconsin. He has far too much integrity for that.
He's always been involved in mentoring high schoolers, undergrads, and, of course, his own grad students. It's not surprising that he's working with a 24 year old.
He's a bundle of energy in math and sports and always looking for the new thing. Jumping in on a new project in a burgeoning field is very much his m.o.
That's an odd thing to say. She is 24 years old and has super impressive academic credentials. She raised almost 70 million which is a huge amount for any startup. The professor probably wants a change in his life and wants to work on something more exciting.
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.
The commercial problem with Thinking Machines was that they had to ship a programmer with every one sold because almost no one knew how to program a SIMD machine in Occam
No wonder Dennis Nedry was so aggrieved...
the full article as a lot more context, including the fact that he reached out to Hong to join her startup rather than vice versa. he seems to be excited about the problem they're attacking and has a good idea of what he can do with a "founding mathematician" title, coming up with problems that will guide their research.
For anyone else who can't see the article:
> 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”
Gift article: https://www.wsj.com/tech/ai/math-ken-ono-carina-hong-axiom-s...
Unlocked gift article: https://www.wsj.com/tech/ai/math-ken-ono-carina-hong-axiom-s...
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.
did anyone else open the article and get the feeling he was leaving academia for a different reason.
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.
> I get the impression doing something like the title is a dream of many Chinese AI researchers
Not sure if you meant to imply otherwise, but Ken Ono is of Japanese decent.
No, I didn't mean to imply it, but rather that this direction is now one that more people than people in China care about.
I could review his published research, but in the interim, I had GPT painstakingly review the math in the image, and extrapolate the direction, which it considered to be a suggested hybrid successor to the Transformer for structured and scientific domains: https://chatgpt.com/share/6931c915-88c8-8012-9ca4-b0097e53e8...
I don't think that's correct.
Honestly I can't fault people of joining the gold rush, while it is still red hot. Generational amounts of money is being made in a very short time.
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 agree with you. Even if this start up fails, it's not like he can't return to academia.
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.
Elon Musk and Daniella Fong pursue interesting research ideas backed by VC and expect to succeed and scale.
Interesting, seems wsj does not allow archive.is through their paywall
It’s almost like tech world pays more and has less bullshit than academia
> pays more
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.
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Doubtful. I knew Ono as an undergrad at Wisconsin. He has far too much integrity for that.
He's always been involved in mentoring high schoolers, undergrads, and, of course, his own grad students. It's not surprising that he's working with a 24 year old.
He's a bundle of energy in math and sports and always looking for the new thing. Jumping in on a new project in a burgeoning field is very much his m.o.
> He has far too much integrity for that.
Do you think it would be lack of integrity on his part? They're both adults...
I understand about power dynamics bla bla bla, but as soon as you step out of University, she's the one who has the money.
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That's an odd thing to say. She is 24 years old and has super impressive academic credentials. She raised almost 70 million which is a huge amount for any startup. The professor probably wants a change in his life and wants to work on something more exciting.
Cool story, now do Theranos.
Any predictions on When the rizz and swagger of AI wears off and gets replaced by the next fad?