The ability of AI to generate answers is not the key; the key is whether this answer is trustworthy. The root of the problem lies in the fact that machine learning models are essentially playing a game of probability—outputs are the most likely results derived from training data statistics, not absolute truths.

This is why blockchain consensus is needed for endorsement. Turning AI outputs into reliable statements backed by real verification, with each answer able to tell you its true confidence level. No longer a black box of fuzzy probabilities, but transparent, traceable, and confirmed results by multiple parties.

In other words, this is about transforming the machine's uncertainty into human-understandable and verifiable certainty—that's what the next generation of AI should look like.