Not necessarily my favourite and nothing on reinforcement learning but does have decision making under uncertainty github.com/omaclaren/op...

Gödel Escher BaNAch Spaces

Anecdotally lots of other researchers using LLMs to help with research also find themselves getting infuriated with them lol

So quite useful I think but also at times infuriating and messy. Definitely can’t just ‘vibe research’ without things getting messy and or completely misleading

Also hard to keep track of messy context when exploring different avenues and having to backtrack or discard ideas. Still need to actively manage all the different threads and context yourself and sometimes just start fresh or combine summaries of results so far etc

Good: Definitely help explore and test ideas quicker. Make implementing quick test code pretty easy. Bad: infuriating tendency to claim success based on clear failures (‘Perfect! These results clearly demonstrate the theory working exactly as predicted ✅’ — garbage results).

You’re getting a lot of hate for this on this site even with all the caveats lol but fwiw I think your basic statement is pretty obviously true. For better or worse, GenAI is not going away and better we adapt and learn how to best use this new tool than pretend this isn’t the case.

Working a treat so far! 🙏

Nice, thanks!

Pros and cons of them vs other similar providers? You’ve had good experiences with them?

This choice clearly shaped by a falling out over me being unhappy with another paper due to a) again not properly citing prior work (by my past PhD student) and b) glaring technical issues. Instead of fixing the resolution was to remove me as author. See attached

Yeah essentially. Was discussed as collaborative follow up work building on first paper. Now presented as standalone alternative with a citation to original work buried in a list of many.

In my mind the original paper is pretty much just an attempt at ‘what would David Cox do if he was analysing simple population growth models?’ (at least my contribution was to try make it that). It’s all pretty straightforward stuff tbh but people found it useful

I mean, it should apply to them too! Models considered were for growth scenarios but no reason couldn’t apply to decay…Also, a closely related but more obscure application of ideas to a decay model here arxiv.org/abs/2502.04867