pks016

With all the talk about great level of problem solving. I wonder if their LLM could come with unique research problems to solve?

Not from math. But I know people who did math PhD. Like you said, competition is already high in all research fields. People looking for positions are way more than Universities can hire or number of profs retiring.

I'm with you, doing a PhD was already a risky choice. Now it's even more risky.

Well, if they can afford in first place

That's true. OpenAI has some of the best talents. In my experience, domain experts get the most benefits from the models. They can work much faster, catch false positives, and stir the model in right direction.

I wish they take a bit of more time to communicate the findings effectively.

> But it also sucks when mathematicians, who are considered experts on a particular problem, refuse to engage with breakthrough results about that problem.

It might be a shock for you but they are very few in numbers. Most of researchers I know are always busy with something. They cannot just drop other responsibilities for something like this. They will take their own time getting through the proofs (if they want to).

> That seems like a much healthier attitude towards these new results.

Another thing to consider is not all mathematicians are from US or with good funding. The PI or graduate students cannot afford to pay 200/month.

With the models and scientists they have, I didn't expect this level of mistakes.

I'm up for all the exciting results. But, can't they check once properly before publishing?

You don't seem to understand how the company evaluation and perception works. I would suggest reading on that.

At least check them properly. They have already withdrawn some of them.

My grunt work is different than doing grunt work for a company to fix their problems so that they can make more money.

I tried precise editing with a photo of horse with fence in front of it. One shot didn't work. Tried with multiple smaller regions. Still didn't work

Tried adjusting exposure; Didn't work as well.

I don't like it. Now, the TAs have high cognitive load. Earlier, you only need to know the material of the course. But now, you're forced to navigate AI output. And you got to keep with all new model developments.

One of my colleagues tried it for a few terms. Unfortunately, it didn't work well. Most students don't care about learning, they are here for grades :(

It would be a waste of time. LLMs have become better but not perfect. Personal experience; it's easier/faster to grade for me than have the LLMs grade and cross-check each one.

> Put a mixture of questions in that are impossible to answer

Students will complain to the admins and waste more of your time.