Tootfinder

Check out today's Metacurity for the critical infosec developments you should know, including
--UK's NCA arrested four people for M&S, Co-Op cyberattacks
--Russian hoops player Kasatkin busted in France in connection with ransomware,
--McDonald's employee chatbot was riddled with absurd flaws,
--Hackers stole $40m from GMX protocol,
--Customer data exposed in Bitcoin Depot breach,
--Hackers run scam messages in old Mt. Gox wallets,
--Ni…

UK's NCA arrested four people for M&S, Co-Op cyberattacks
Russian hoops player Kasatkin busted in France in connection with ransomware, McDonald's employee chatbot was riddled with absurd flaws, Hackers stole $40m from GMX protocol, Customer data exposed in Bitcoin Depot breach, Hackers run scam messages in old Mt. Gox wallets, much more

Dissipative Kondo physics in the Anderson Impurity Model with two-body losses
Matthieu Vanhoecke, Naoto Tsuji, Marco Schir\`o
https://arxiv.org/abs/2506.22302

Dissipative Kondo physics in the Anderson Impurity Model with two-body losses
We study a dissipative version of the Anderson Impurity model, where an interacting impurity is coupled to a fermionic reservoir and exposed to Markovian dissipation in the form of two-body losses. Using a self-consistent hybridization expansion based on the Non-Crossing Approximation (NCA) we compute the dynamics of the impurity, its steady-state and spectral function. We show that the interplay between strong Coulomb repulsion and correlated dissipation gives rise to robust signatures of Kond…

Neural Cellular Automata for ARC-AGI
Kevin Xu, Risto Miikkulainen
https://arxiv.org/abs/2506.15746 https://arxiv.org/pdf/2506.15746…

Neural Cellular Automata for ARC-AGI
Cellular automata and their differentiable counterparts, Neural Cellular Automata (NCA), are highly expressive and capable of surprisingly complex behaviors. This paper explores how NCAs perform when applied to tasks requiring precise transformations and few-shot generalization, using the Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) as a domain that challenges their capabilities in ways not previously explored. Specifically, this paper uses gradient-based train…