This is the golden age of model training. Some days ago, I decided I wanted a local CPU only model that can perform exceptionally well for English to Bash translation (to avoid the googling for command syntax). I got a bunch of subagents to generate large amount of training data (140k+ samples), got the Qwen 3 0.6B base model, pointed Astra at it, and off to the races. It trained for 2 days (on and off) and I got a surprisingly good model for my task! The total active time I spent was a few hours. And it is still improving, what a time to be alive!
I'm literally working on context/harness engineering right now (a set of opencode plugins)
Aside on the aside, I welcome this new era of really personal software. Not Ai's being sycophants, rather being able to easily and quickly change, adapt, or extend software I am not familiar with.
GodelNumbering · · focus · HN ↗
torginus · · focus · HN ↗
oDot · · focus · HN ↗
verdverm · · focus · HN ↗
Aside on the aside, I welcome this new era of really personal software. Not Ai's being sycophants, rather being able to easily and quickly change, adapt, or extend software I am not familiar with.