AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Activation Flow (ActFlow), which manufactures activations from correct labels without fine-tuning, scores higher than the smallest-norm rule in 16 of the 18 combinations of locked model and $k, and its steering direction is nearly orthogonal to the honest difference-in-means direction.
PUDA separates scientific orchestration from physical operation and data telemetry: agents choose experiments, while PUDA executes validated commands and captures provenance-linked state, responses, and data.
A causal model of how sandbagging is carried in the residual stream is proposed, which predicts a window of layers, after the last sandbagging write and before the answer commit, in which a single-layer reference graft of the sandbagging axis to its honest value restores the full capability.
Sandbagging, in which a model deliberately underperforms on an evaluation despite retaining the underlying capability, threatens the safety evaluations that frontier-model governance depends on. The Elicitation Game found that fine-tuning elicits hidden capability from sandbagging model organisms whereas additive activ...
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