AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is suggested that early experience leaves a persistent geometric imprint on how neural networks adapt to future tasks.
The results distinguish cross-sensor consistency, multimodal fusion, and generalization to new action orders as separate questions as separate questions in evaluating multimodal physical representations.
Pretrained vision embeddings are increasingly used as general-purpose representations for modelling how people appraise urban scenes, and are validated almost entirely by how well they predict human ratings. High predictive accuracy does not establish that these embeddings organise scenes as human perception does. We t...
This work builds the flow-sensitive type system family that the quantale calls for, and shows that the object which makes such families useful, the universal type object from which every member specialises, splits in two, with a consequence for enforcement.
EquiSD exploits an exact physical symmetry to provide label-free supervision for improving metric grounding in vision-language models and generalizes to unseen world scales and transfers without adaptation to real QuantiPhy videos, where accuracy increases by 6.4 points.
Vision-language models are increasingly used to measure urban change from repeated street-level imagery, but their longitudinal reliability is not well understood. We test how much a perception score can change when the street itself does not undergo substantial redevelopment. Using 4,648 consecutive-epoch image pairs...
Extending compression-based memorization analysis to the frozen-base setting, this work measures directly, in bits, how much a low-rank adapter writes into a model it never changes, finding that the answer is both smaller than full fine-tuning and less lawful than parameter counting would predict.
A central premise of latent world models is that predicting the future forces a representation to internalize the physics of its environment. Which physical quantities does a trained latent actually contain, and what decides this? We answer with controlled interventions in POKEWORLD, an interactive environment whose vi...
Empirical work on algorithmic collusion asks one question of the data: are prices supracompetitive? We show this can be answered"no"by a conspiracy that is nonetheless profitable. Consider bidding agents that couple only through the joint distribution of their unexplained bid components, leaving every agent's own bid l...
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