We just released a big new update to Jerboa that adds a lot of much needed features and polish. We had 14 new contributors too!

There’s an open PR that’ll fix the font size issue. I’m using it now and it’s great. I’m also personally working on trying to add my personal must-have UI options from Boost.

I imagine it’ll be possible in the near future to improve the accuracy of technical AI content somewhat easily. It’d go something along these lines: have an LLM generate a candidate response, then have a second LLM capable of validating that response. The validator would have access to real references it can use to ensure some form of correctness, ie a python response could be plugged into a python interpreter to make sure it, to some extent, does what it is proported to do. The validator then decides the output is most likely correct, or generates some sort of response to ask the first LLM to revise until it passes validation. This wouldn’t catch 100% of errors, but a process like this could significantly reduce the frequency of hallucinations, for example.