We unpack a provocative claim: a tiny, non-existent seahorse emoji as a tripwire revealing a new phase in AI training—the use of thinking-trace data that exposes the model's internal problem-solving process. We trace how labs feed rough drafts into models to produce more stable, better-aligned AI, and what this means for reliability across closed and open systems.
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