3 papers
cs.NE2026
Emergent Models: Intelligence from Tiny Substrates
Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard +2
Emergent Models (EMs) are a machine learning paradigm based on simple yet open-ended substrates, such as cellular automata, in which modeling is treated not as the learning of a cl…
cs.AI2026
Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligence
James K. Wiles
How do we govern AI systems whose reasoning we cannot fully inspect? Governance does not require understanding a system's reasoning. It requires stating what the system is obliged,…
cs.CL2025
Identifying and Manipulating Personality Traits in LLMs Through Activation Engineering
Rumi Allbert, James K. Wiles, Vlad Grankovsky
The field of large language models (LLMs) has grown rapidly in recent years, driven by the desire for better efficiency, interpretability, and safe use. Building on the novel appro…