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The geometry framing is the right one. And what makes it clinically relevant is that when you reverse-engineer those internal structures on models trained on biological data, you sometimes surface things the training data never explicitly labeled.Goodfire did exactly this with Prima Mente's epigenetic model, finding cfDNA fragment length as a novel Alzheimer's signal. That didn't come from prompting the model. It came from interrogating the geometry.The 58% hallucination reduction they demonstra
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The geometry framing is the right one. And what makes it clinically relevant is that when you reverse-engineer those internal structures on models trained on biological data, you sometimes surface things the training data never explicitly labeled.Goodfire did exactly this with Prima Mente's epigenetic model, finding cfDNA fragment length as a novel Alzheimer's signal. That didn't come from prompting the model. It came from interrogating the geometry.The 58% hallucination reduction they demonstra
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