My every workday for years has started the same way: open arXiv's CV page, scroll 200+ new titles, hunt for the 2–3 papers I actually need. 20–30 minutes a day. I haven't skipped a day even on vacation.
Last month I finally made an LLM take over the ritual.
Has anyone posted the full reasoning trace of the models coming up with counterexamples to conjectures? What is the sequence of thoughts and ideas that leads them to the result? I feel like this is the most important thing for us to understand
The whole thing runs completely free: Gemini's free tier + free email + a cron job on any computer you have lying around.
It's open source. Swap in your own research interests and let it read arXiv for you: https://t.co/ZTHFdkHJz5
My every workday for years has started the same way: open arXiv's CV page, scroll 200+ new titles, hunt for the 2–3 papers I actually need. 20–30 minutes a day. I haven't skipped a day even on vacation.
Last month I finally made an LLM take over the ritual.
Every morning the bot reads every new CV paper, asks Gemini one question per paper - "is this relevant to his interests?" - and emails me a digest of the survivors.
Weeks of testing so far: zero missed papers, and my reading list is ~80% shorter.
@deedydas I wonder if it works out like chess AI worked out for chess - and all the future math/physics olympiads get a lot harder with students being a lot smarter. at least I hope this is how it works out
Every day there's one new piece from the Met's open-access collection, and nothing else.
Honestly, everyone on X needs to use this to chill from all the AI FOMO and culture wars. Just look at some beautiful artworks folks!
https://t.co/qGPwCofe7g
A side project post:
@petrkaplunovich and I built a free meditation website a while ago - and we never told anyone.
It's inspired by a NYT story about a Harvard art historian who has her students spend 3 hours looking at a single artwork.
👇