aiqbench analysis

This is a promotional challenge from a data-labeling company, not a technical result. The prize is a bet on the quality of its training data, and the terms of the challenge (how "failure" is defined, who judges it, and what error rates count) matter more than the headline offer. Readers should treat it as a marketing signal about how AI data vendors compete, and look for published methodology before drawing conclusions about model or data quality.