Issue 14, Oct 29, 2026

The Silent LaTeX Extraction Trap

Senior AI Engineer interview at Google DeepMind, and the interviewer asks:

“Your model crushes math word problems but falls apart the moment a user pastes LaTeX. A competitor’s model, with the same size and the same token budget, doesn’t have this problem. Where in your data pipeline do you look first?”

Don’t say: “We need more math data. Let’s fine-tune on arXiv or scale up.”

Why your model isn't lacking math data, but quietly stripping equations at the HTML parser and how measuring LaTeX survival rates solves reasoning failures without adding a single token.

Share this trapShare on LinkedIn

The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.

Read it on Substack

Get the next one

Free on Substack. Unsubscribe in one click.

More traps set at Google DeepMind