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Openai/6973e373-2b8c-800d-84b7-d7001cfc6bac
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==== The only place this model can accidentally overreach is if “repair opportunity” isn’t actually low-cost and unambiguous. ==== But in the examples you’ve provided, your repair prompts are pretty clear: * “Specify what’s drowning.” * “Quote what’s false and show why.” * “Engage even one point.” Those are low-cost and falsifiable. So the “maintenance of blindspot” inference becomes much more justified. If you want, I can help you formalize this into a short, reusable “mod lens” that’s basically CTDST-compatible: * Stage-stable discourse markers (what good faith looks like under pressure), * Stage-regression markers (what threat looks like when it pretends to be reason), * and a 2-step repair test that avoids tone and avoids mind-reading entirely.
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