1) humans (AI assisted or not) answering with real-money stakes, and

2) people betting on which humans are correct (borrow page from prediction markets)

This does four things simultaneously:

1) It introduces consequences for being wrong, which in turn introduces real asymmetric incentives to be contrarian-but-correct - which are high-value answers you don't get out of a stock model

2) It creates real-world incentives for human guided votes to answers (because, again, there's a real-world stake)

3) Together, this gets humans back on the platform answering questions, which creates meaningful exhaust data that can be sold back to the AI companies.

4) It creates incentives to game the system, which creates yet-more exhaust data for training anti-fraud AI systems