AI model
Local model reported as unable to produce structured JSON in the field test.
NV-Reason-CT reads a 300-to-600-slice study as a single 3D volume instead of a stack of frames. NVIDIA published it as an uncleared research foundation whose cited multireader study measured its chest X-ray predecessor.
Reality
The offset in a J-lens readout mostly tracks how often a token appears, and scaling it by variance, after plain subtraction failed, lifted hidden-word elicitation to 0.805 from 0.665 on Gemma-2-9B-it. The paired test over 20 words gives p of about 0.19.
Reality
A dev.to guide to running local models on 8GB prices the KV cache between 15KB and 160KB per token depending on architecture. At 32K tokens held, that spread is the difference between 0.5GB and 5GB of a fixed budget.
Reality
In a single-author LessWrong experiment, accuracy on held-out countries went from 20.9% to 97.7% with the lesion active in every forward pass, and the recovery survived refitting the lens to the adapted model.
Reality
PlannerCritic's sweeps are cheap enough to gate every release. The harder problem is telling a clean run from a rig that quietly counted nothing.
Reality