Comment by umairnadeem123

the opus 4.6 "found it and talked itself out of it" pattern is something i see constantly in my own work with these models. the best ones are smart enough to identify the signal but also smart enough to rationalize it away.

this is why human oversight in the loop matters so much even when using frontier models. the model is a hypothesis generator, not the decision maker. i've found the same thing building content pipelines -- the expensive models (opus 4.6 etc) genuinely produce better first-pass output, but you still can't trust them end to end. the moment you remove human review the quality craters in subtle ways you only notice later.

the multi-agent approach someone mentioned above (one model flags, another validates) is interesting but adds complexity. simpler to just have the human be the validation layer.