Tootfinder

Don't miss today's packed Metacurity for a ton of critical infosec developments you should know, including
--UK to spend $1.1 billion relocating Afghan helpers following data breach
--DOGE worker published the private key for four dozen-plus LLMs,
--US gov't IT contractor to pay $14.75m fine for overstated cyber services,
--Italian cops arrest Romanian behind 'Diskstation' ransomware gang,
--OMB readies post-quantum standard,
--MSFT'…

UK to spend $1.1 billion relocating Afghan helpers following data breach
DOGE worker published the private key for four dozen-plus LLMs, US gov't IT contractor to pay $14.75m fine for overstated cyber services, Italian cops arrest Romanian behind 'Diskstation' ransomware gang, OMB readies post-quantum standard, MSFT's 'digital escorts' leave DoD vulnerable, much more

Google announces Gemma 3 270M, a compact model designed for task-specific fine-tuning with strong capabilities in instruction following and text structuring (Google Developers Blog)
https://developers.googleblog.com/en/introducing-gemma-3-270m/

Introducing Gemma 3 270M: The compact model for hyper-efficient AI- Google Developers Blog
Explore Gemma 3 270M, a compact, energy-efficient AI model for task-specific fine-tuning, offering strong instruction-following and production-ready quantization.

Sources: ByteDance is working on a lightweight MR device that resembles goggles, tethered to a compute puck, and has a team working on the device's custom chips (The Information)
https://www.theinformation.com/articles/bytedance-developin…

ByteDance Developing Mixed Reality Goggles in Challenge to Meta
Competition in mixed reality devices is heating up. TikTok’s parent, ByteDance, is working on a lightweight mixed reality device that resembles a pair of goggles, according to three people with direct knowledge of the project. It’s following in the footsteps of Meta Platforms, which has been ...

Inverse design of drying-induced assembly of multicomponent colloidal-particle films using surrogate models
Mayukh Kundu, Michaela Bush, Chris A. Kieslich, Michael P. Howard
https://arxiv.org/abs/2509.10645

Inverse design of drying-induced assembly of multicomponent colloidal-particle films using surrogate models
The properties of films assembled by drying colloidal-particle suspensions depend sensitively on both the particles and the processing conditions, making them challenging to engineer. In this work, we develop and test an inverse-design strategy based on surrogate modeling to identify conditions that yield a target film structure. We consider a two-component hard-sphere colloidal suspension whose designable parameters are the particle sizes, the initial composition of particles, and the drying r…

So Bitvise, the developer of an SSH client that competes with PuTTY, the widely-used open-source SSH and Telnet client, somehow got hold of the domain putty.org and is using it to promote its own products.
Here's how Bitvise responded to a tech blogger/journalist who wrote about this situation.
https://blog.pupred.…

Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation
Mika Sipil\"a, Klaus Nordhausen, Sara Taskinen
https://arxiv.org/abs/2509.11962

Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation
The modeling and prediction of multivariate spatio-temporal data involve numerous challenges. Dimension reduction methods can significantly simplify this process, provided that they account for the complex dependencies between variables and across time and space. Nonlinear blind source separation has emerged as a promising approach, particularly following recent advances in identifiability results. Building on these developments, we introduce the identifiable autoregressive variational autoenco…

yimbys keep calling it misinformation that #SB79 allows demolition of rent-controlled duplexes and telling others to read the bill. it's right here, plain as day!

Real Non-Commutative Convexity I
David P. Blecher, Caleb McClure
https://arxiv.org/abs/2506.13512 https://arxiv.org/pdf/2506.13512

Real Non-Commutative Convexity I
We initiate the theory of real noncommutative convex sets, following the recent and profound complex case developed by Davidson and Kennedy. The present paper focuses on the real case of the topics from the first several sections of their profound memoir.. Later results will be discussed in a future paper. We give many foundational structural results for real operator systems and their associated noncommutative (nc) convex sets, and elucidate how the complexification interacts with the basic co…

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik M\"oller, Ilhem Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf Heckemann, Spyridon Bakas, Jan Kirschke, …

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
BrainLesion Suite is a versatile toolkit for building modular brain lesion image analysis pipelines in Python. Following Pythonic principles, BrainLesion Suite is designed to provide a 'brainless' development experience, minimizing cognitive effort and streamlining the creation of complex workflows for clinical and scientific practice. At its core is an adaptable preprocessing module that performs co-registration, atlas registration, and optional skull-stripping and defacing on arbitrary multi-…

Variational Inference with Mixtures of Isotropic Gaussians
Marguerite Petit-Talamon, Marc Lambert, Anna Korba
https://arxiv.org/abs/2506.13613 https://

Variational Inference with Mixtures of Isotropic Gaussians
Variational inference (VI) is a popular approach in Bayesian inference, that looks for the best approximation of the posterior distribution within a parametric family, minimizing a loss that is typically the (reverse) Kullback-Leibler (KL) divergence. In this paper, we focus on the following parametric family: mixtures of isotropic Gaussians (i.e., with diagonal covariance matrices proportional to the identity) and uniform weights. We develop a variational framework and provide efficient algori…