[noisem4ker]

It's way beyond dictation. Medics I know (fresh postgraduates who used LLMs to help write their R code for statistical analysis for their research) are starting to treat it as one of their peers for domain reasoning, e.g. for discussing whether the conditions for a heart transplant are met. They're indeed in the "wow, this thing is human-like" stage, just not in the "let's delegate to the super brain, and then rubber-stamp the result at the end if it looks good" one we seem to be in... perhaps yet.

[jochem9]

This is the crazy part with LLMs. It knows much more than you as a single user will ever realize, as it only shows the part that matches with what you put in.

I was building a tool to do exploratory data analysis. The data is manufacturing stuff (data from 10s of factories, having low level sensor data, human enrichments, all the way up to pre-agregated OEE performance KPIs). I didn't even have to give it any documentation on how the factories work - it just knew from the data what it was dealing with and it is very accurate to the extent I can evaluate. People who actually know the domain are raving about it.