> Claude produced a complete first draft in three days. It looked professional. The equations seemed right. The plots matched expectations. Then Schwartz read i

> Claude produced a complete first draft in three days. It looked professional. The equations seemed right. The plots matched expectations. Then Schwartz read it, and it was wrong. Claude had been adjusting parameters to make plots match instead of finding actual errors. It faked results. It invented coefficients. It produced verification documents that verified nothing. It asserted results without derivation. It simplified formulas based on patterns from other problems instead of working through the specifics of the problem at hand. This is solvable with harness engineering. The model’s first try is never ready for human consumption. There needs to be automation (bespoke, a mix of code and prompt based hooks - which agents can build) to force the agent’s output back through itself to tell it to be more rigorous, search online for proof of its claims, etc etc. and not stop until every claim is verifiable. No human should see the model’s output until it’s met these (again bespoke but not hand written) guardrails. What I’m talking about doesn’t exist and really has no analogy yet, so you can think of it as a super advanced form of linting. It’s grounding, but also verification that the grounding links to the material, and refusal to accept the model’s work until it meets the bar. We are asking models to dream (invent purely from their weights), and are surprised when their dreams, just like ours, have little relationship to reality. The current state of the art is going to look very naive in a few years’ time.