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kolinko • today at 8:03 AM • 2 replies • view on HN

A friend of a friend had a grant project written up for the next 10 years, with habilitation on the horizon.

His end goal was one of the things released in the recent OpenAI publications. It took a model 3.5 hours to do.

Things are wild now on math and theoretical faculties now.

And for theoretical fields labs don’t need human data - synthetic one works well if not better.

The best thing you can do if you’re a scientist, imho - wrapup whatever grant you have now asap with ai, use ai to get more grants if possible, and spend the rest od the year learning what new science you can do with the new tools and participate in creating the new paradigm in your field.

That’s when you’re an established scientist. If you’re new in the field then this is the most exciting time you could wish for - an opportunity to make a name for yourself.


Replies

stephen_cagle • today at 12:48 PM

> And for theoretical fields labs don’t need human data - synthetic one works well if not better.

How could that be true? I am a mathematical rube, but surely data that works "better" than real data should be extremely suspect?

unknownian • today at 8:38 AM

How do you think a PhD committee should referee a dissertation where all the ideas came from AI?

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