@vesko_st text post · 2026-09-21
A product engineer testing whether Jev understands the text first
Everyone has been impressed by TypeSafe AI’s Jev — I wanted to see for myself how good it is — and how useful it could be for a product like @lightfld. I started with text understanding, because it is the foundation of everything a decision model does: it has to understand the
Why it is here
A product engineer testing the model on the part of the job everything else depends on: whether it understands the text before it decides anything about it. The post is a sequence of measured probes rather than a verdict, which is why it is on the wall.
What we checked
- the post read through X's public syndication endpoint, 2026-09-25
- like count and date read from the same endpoint the same day
What we did not check. We did not re-run the thing the post describes, so every figure on this page is the author's own and every claim is theirs — the note above is what we make of it after reading, not a measurement. The like count is a snapshot read on 2026-09-23 and it has moved since; 22 is what it said when we looked.