> Regardless of the true cost, it seems that professional mathematicians now need to wary about what they put into a LLM and think hard about how to disclose and publish a result.
This is all but guaranteed now.
Mathematicians/Scientists/Researchers need to stop sharing freely with "AI Companies" and have explicit clauses in place in their publications about not using their research without their explicit consent.
There should be a clear legal distinction between using research data for AI model-training vs. another researcher using it.
Come up with a legal framework, establish procedures for sharing and using others work and have a single scientific body in charge of enforcing it.
Would this legal framework cut both ways? When AI companies use AI to make and publish mathematical discoveries, would they be able to legally prevent professional mathematicians from using them?
Just putting a clause in a publication won't prevent it from being used as training data. Information wants to be free.
The frontier LLM vendors do sell enterprise licenses which contractually guarantee that your prompts won't be used for training. (Maybe they'll secretly violate the agreement but in principle it's legally enforceable.) Scholars and universities who care about credit and attribution will either have to purchase those licenses or run their own private open-weight LLM instances.
I don't like this and I wish it weren't true, but I think the period of "information wants to be free" is coming to an end, it was a relic of a bygone era. Increasingly, making your information free means you're the sucker who is doing free labor for AI companies, or worse, you're helping your competitors. Paywalls, login walls, and rate-limits are going up everywhere: there's the GitLab news on the home page right now, and sites like Twitter, Reddit etc. which used to be publicly-readable are now gated (and Xitter is using the legal system to shut down any bypasses).
I hate this but I don't think there's any going back now that LLMs exist.
"Information wants to be free" never meant that people want to release their information; it meant that information is very hard to keep secret, and that everything leaks like a sieve, and especailly that once it's out, it's out forever.
Similar principle applies to open source or any other creative endeavor put in the public domain.
Simple: if you don't publish your work, we don't fund you. Why is this even a question?
I'd guess universities might starting hosting open source models. They can probably actually afford to, unlike individual mathematicians.
Though maybe if there's a flurry of math-optimized agents coming up, like there are small coding agents, those might be feasible to host personally.
> Regardless of the true cost, it seems that professional mathematicians now need to wary about what they put into a LLM and think hard about how to disclose and publish a result.
This is all but guaranteed now.
Mathematicians/Scientists/Researchers need to stop sharing freely with "AI Companies" and have explicit clauses in place in their publications about not using their research without their explicit consent.
There should be a clear legal distinction between using research data for AI model-training vs. another researcher using it.
Come up with a legal framework, establish procedures for sharing and using others work and have a single scientific body in charge of enforcing it.
Would this legal framework cut both ways? When AI companies use AI to make and publish mathematical discoveries, would they be able to legally prevent professional mathematicians from using them?
Just putting a clause in a publication won't prevent it from being used as training data. Information wants to be free.
The frontier LLM vendors do sell enterprise licenses which contractually guarantee that your prompts won't be used for training. (Maybe they'll secretly violate the agreement but in principle it's legally enforceable.) Scholars and universities who care about credit and attribution will either have to purchase those licenses or run their own private open-weight LLM instances.
I don't like this and I wish it weren't true, but I think the period of "information wants to be free" is coming to an end, it was a relic of a bygone era. Increasingly, making your information free means you're the sucker who is doing free labor for AI companies, or worse, you're helping your competitors. Paywalls, login walls, and rate-limits are going up everywhere: there's the GitLab news on the home page right now, and sites like Twitter, Reddit etc. which used to be publicly-readable are now gated (and Xitter is using the legal system to shut down any bypasses).
I hate this but I don't think there's any going back now that LLMs exist.
"Information wants to be free" never meant that people want to release their information; it meant that information is very hard to keep secret, and that everything leaks like a sieve, and especailly that once it's out, it's out forever.
The USA doesn't have legal frameworks any more, you just buy and sell the right to do what you want. Even our supreme court is disingenuous now.
wouldn't it be dystopian secrecy cause a flock camera is equally capable of watching the mathematicians as it is the public citizens.
Maybe mathematicians are smart enough to never ever buy such piece of shit on higher principle, regardless of their actual fiasco?
I am a (former) mathematician and know many more.
> Maybe mathematicians are smart enough to never ever buy such piece of shit on higher principle
They are not. Mathematicians are as human as most of the rest of us here.