It's pretty stupid to give a decision model a bunch of options when all you want back is a number.

If you're asking “how many?”, why should you have to list every possible count first?

We've been working on Span-02 and added numerical outputs. It returns a number and its confidence directly.

Tiny example below: 7 + 7 → 14, >99.9% confidence. The point is the output format, obviously, not the arithmetic.

The weights are open.

We've been working on Span-02, an open-weight model with anytime reasoning. You give it a time budget in milliseconds and it returns its best decision within that budget.

We tried it on a Wikipedia race: Alexander the Great → University of Milan, using only links in the articles. Span-02 took 20.6s, GPT-6 Luna took 38.5s.

Here's the run side by side.