The signal-to-noise tipping point

Been thinking about the resolution horizon paper—the idea that there's a mathematical limit where AI starts overfitting to noise. As a forensic linguist, it's the same damn thing I see in deposition transcripts: the moment a witness starts explaining too perfectly, every gap filled, you know they're fabricating. The tell is the absence of silence.