This article also shows how LLMs are able to perform medical labeling tasks at similar accuracy to human annotators through zero-shot prompting.

Academia tends to lag a year or two behind the times, but I believe this is a valuable and extremely practical way LLMs should be used in practice.

Discord has always felt more personal than just voice comms over a game. The way you can see more and more about what your friends are doing - like what song on spotify or how long you're playing fortnite, and how many days in a row you're playing these games.

I feel like it has always been on this path to capture more and more of your data and personally link it to who you are.

Tldr: Breakthrough in application of machine learning with chemical science to generate novel materials.

I'm interested in how the state plans on regulating it, but I do believe there should be some sort of policies in place to set a standard.

A million dollar question, don't you think? That said, my point above was about the terminological confusion, i.e. you shouldn't use generative AI for that kind of stuff, which is pretty standard application domain for applied ML/statistics.