OAI and Ant got blowback for essentially strip mining mathematical discoveries into PR wins for their models, accidentally laying waste to the research field in process. Throwing ~$5M each into PR whitewashing (partially in token credits), seems self-serving.
Kudos to the Simons Foundation for seizing the moment to offer the labs a fig leaf of respectability. Might have been the fastest "Yes" on a grant proposal ever.
It’s like saying the power loom laid waste to the field of textiles.
Ironically, that has been that way for most people since forever.
Comparing with the situation in programming, where code evaluation (obviously analogous to "understanding") is that bottleneck now, should get people the idea of being in the same boat.
For example [1]:
> In many fields and activities, years of training have traditionally served not only to produce a final answer or product, but also to develop understanding and the ability to formulate new questions and ideas. However, building on a vast body of previous human work, AI systems are becoming increasingly capable of producing the results of such work directly, and these goals cease to align.
Or [2]:
> Use of AI tools, when done responsibly, can support not just the initial generation of a solution, but all of the valuable followup activities that traditionally flow out of that solution. But at the current time, the opposite is often occurring: problems are being solved autonomously by AI prompters who have no interest in the broader field itself once their initial target is "solved", and do not understand the AI output well enough to answer questions on the result, give talks, or otherwise interact with the rest of the field.
> ...
> solutions to open problems are now being harvested at large scale in an unsustainable fashion, leaving entire fields of mathematics much less fertile than when such problems were solved in the traditional "Math 1.0" fashion.
This applies to all fields and pursuits where AI is effective. Yes I think about this with regards to various things I’m working on.
This is just the nature of things, you need to adapt and not throw a tantrum like a child. You need to not behave like Terrance Tao who is essentially like a child in an adult’s body in terms of his behavior and lack of wisdom, and keep in mind he was a child prodigy so this isn’t a knock at all or statement about his intelligence, only his development as a man.
You can mourn, as I have for the field of programming as I knew it which I have loved since I was a child, but you need to move on.
The foundation was started in 1994, Wikipedia says "one of the largest charitable organizations in the United States with assets of over $5 billion in 2022" - Jim Simons founded the Renaissance Technologies hedge fund.
[1] https://www.simonsfoundation.org/news/from-trust-to-verifica...
Quanta magazine is the propaganda arm.
The headline in this piece made it look like maybe a foundation was trying to help mathematician's push back against the unwanted assault on their profession by the AI labs. The section I quoted shows that's not the case.
Also not sure how you interpreted "foundation started by the Renaissance Technology hedge fund billionaire" as a mindless boost.
On ChatGPT: Settings -> Data controls -> Turn off “Improve model for everyone”
On Claude: Settings -> Privacy -> Turn off “Help improve our AI models”
They can scrape your work after you publish it.
When you remove this greed and status seeking you might actually end up with a healthy environment.
It may be true in some cases but as a blanket condemnation of the entire field it makes no sense. Moreover, I can't fathom how you could reach this conclusion if you've actually done any reading on "the whole situation." The reality is precisely the opposite of what you're claiming.
Mathematicians are upset partly because AI companies are "scooping" their work. If you had worked on something for years and this happened, you'd be upset, too. The manner in which this happened with Navier-Stokes was unconscionable. The mathematicians who did the work deserve recognition. OpenAI deliberately stole it from them.
More importantly, the purpose of mathematics isn't to produce proofs. It's to produce mathematics and mathematicians. Working through problems helps people find new mathematics -- and makes people mathematicians. A machine that generates proofs destroys that. It breaks the cycle that makes mathematics fruitful, interesting, and not just self-regenerative but self-propagating.
AI companies aren't just clear-cutting the fields of math; they're sowing them with salt -- and they're doing this precisely because of greed and hunger for status and the title of "first."
I don’t necessarily disagree but it seems like the AI companies are just as status seeking and infinitely greedier.
Perhaps to some maths is about progress, like other sciences, rather than self-portrayal
Quants are open about that they just want to make a shitton of money.
The guys I know who work at OpenAI just want an expensive car and a hot wife to fuck.
Mathematicians(and many academics) however have long been hiding behind the guise of furthering human knowledge, understanding things, etc. Then a model does theorem proofs and suddenly there is chaos and the real incentives and motivations are put on display for the world to see.
See professor Williams' thoughts on a recent conjecture that openai proved: https://people.csail.mit.edu/virgi/thoughts.txt
You're gonna get downvoted but this is absolutely true. People who've never been in real professional academia don't understand but this is exactly what most very successful academics are like.
> When you remove this greed and status seeking you might actually end up with a healthy environment.
Nah I think you're just gonna have collapse because you've removed all incentive.
Seems that space is really about that
We will only give the free tokens to the top X% of scientists, which is now a much smaller pool and you are unlikely to be considered LLMs or not.
1. exceptionally high IQ
2. Enough resources to bootstrap yourself
Those are who survives in the new economy with any modicum of quality of life.
There is some success with this kind of strategy already when it comes to space, LHS and ITER come to mind. NASA is somewhat operating on this very same principle although it is a government organization to begin with.
Although the opposite reaction is that you should keep people behind inventions poor to encourage them to create more inventions which ultimately what ends up happening in the real world more often than not. The people who revolutioned the world did get fame and glory, including numerous monetary compensation packages - but compared to the people who sold those inventions they only got a tiny fraction of a fraction, this is especially clear with people who are normal employees and inventions are credited to a company rather than the few people who made it possible.
You really cannot see any difference between the government and corporations supporting something? This "things have always been that way" talking point is getting out of hand.
How shameless can you be?
It's akin somewhat to "donating 100 dollars to the node JS foundation, not the packages that appear when you run npm fund".
A non-zero amount of it is probably going directly to the AI companies through tokens...
If it doesn’t pay for non-permanent staff salary that would be sad for the maths ppl indeed.
OTOH I have a phd in th physics, 15+ y of academic senior researcher experience, now working 60+ h /w on an unpaid internship and using lunch money to pay for tokens.
And I’m by far not most unlucky
Why? I thought we already established* that most professional mathematicians are not necessary (in the near future, then maybe "any"), so why would they doom these students with pity grants to basically create unnecessary jobs for them? More practically, wouldn't that money be best served (i.e., raw ROI) by purchasing more tokens on the frontier models?
(*) The existence of this effort itself is a good heuristic.
It's also not an OpenAI, Anthropic or any specific name caused problem. This type of progress has always been happening, it's more or less coincidental (like Stigler's law). The problem though is we need to rethink how we operate as a society and too few (IMO) are trying to make this conversation happen.
It doesn't help you that AI understands it, when you don't. You are the one getting screwed over by others who understand statistics better than you do.
When you're rich enough, you can pay others (or AI) to protect you. But then you're dependent upon them.
So, under a transactional model of social relationships, you are in an arms race over raw intelligence and competency/data. With only one winner, who takes all in the end.
Logically, most people have already lost in that game, so why keep playing that nonsense?
Essentially gifts for the annointed.