✔️Hy4 preview just shipped an upgrade.
You flagged it: long thinking + over-verification on complex tasks.
We optimized it. Now live for everyone.
Same task quality. Fewer turns. Lower in/out tokens.
Bench + human eval both confirm.
We’ll keep iterating fast. Try it and tell us what still breaks.
Try on WorkBuddy: https://t.co/VJd4rN8DNj
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
Why it matters
Cuts tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → and turn costs for a coding-focused model without sacrificing output quality, a direct win for teams running Hy4 preview at scale.
