Tootfinder

UK NCA officer jailed for stealing bitcoin from darknet criminal he previously helped investigate https://therecord.media/former-uk-nca-officer-jailed-stealing-bitcoin-from-criminal

RE: https://infosec.exchange/@metacurity/115226251087215441
Jubair, 19, and another alleged Scattered Spider member Owen Flowers, 18, from Walsall, West Midlands, were arrested at their home addresses on Tuesday (16 September) by the NCA and City of Lo…

Two teenage suspected Scattered Spider members charged in UK over TfL hack https://therecord.media/scattered-spider-teenage-suspects-arrested-britain-nca

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

Identity Increases Stability in Neural Cellular Automata
James Stovold
https://arxiv.org/abs/2508.06389 https://arxiv.org/pdf/2508.06389

Identity Increases Stability in Neural Cellular Automata
Neural Cellular Automata (NCAs) offer a way to study the growth of two-dimensional artificial organisms from a single seed cell. From the outset, NCA-grown organisms have had issues with stability, their natural boundary often breaking down and exhibiting tumour-like growth or failing to maintain the expected shape. In this paper, we present a method for improving the stability of NCA-grown organisms by introducing an 'identity' layer with simple constraints during training. Results show that…

Reservoir Computing with Evolved Critical Neural Cellular Automata
Sidney Pontes-Filho, Stefano Nichele, Mikkel Lepper{\o}d
https://arxiv.org/abs/2508.02218 https://

Reservoir Computing with Evolved Critical Neural Cellular Automata
Criticality is a behavioral state in dynamical systems that is known to present the highest computation capabilities, i.e., information transmission, storage, and modification. Therefore, such systems are ideal candidates as a substrate for reservoir computing, a subfield in artificial intelligence. Our choice of a substrate is a cellular automaton (CA) governed by an artificial neural network, also known as neural cellular automaton (NCA). We apply evolution strategy to optimize the NCA to ach…

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…