AI Still Makes Things Up 🧠 Why would anyone let a model that occasionally hallucinates make the final call on real capital? That's the exact question most AI finance products conveniently skip over in their own marketing. Models drift over time, and confidence in an output never actually equals correctness of that output. A hallucinated answer in a chatbot is annoying at worst, the same failure inside a trading decision is expensive at best. Theoriq's setup keeps that specific failure mode contained rather than pretending it doesn't exist. AI handles monitoring and execution continuously, but a human curator still approves every meaningful position before anything goes live. $ICP has leaned hard into onchain compute for a similar kind of accountability, verifiable outputs instead of just blind trust in whatever a model says. That's the direction I think every serious AI finance product eventually has to move toward, whether they admit it yet or not. Full autonomy sounds impressive right up until the model is wrong at the worst possible moment with real money behind it. $RENDER solved a version of this same problem too, a compute job doesn't get paid until the network actually confirms the work was done correctly. Verification before payout, and verification before execution, are really the same idea wearing two different outfits. #Altcoin Season# #DeFi