Tootfinder

And when I'm talking about understanding the drives to violence, I did write about something similar recently.
https://write.as/hexmhell/algorithmic-violence
The drives behind this and the shooting last week are pretty radically different, but there's some overlap. People like Kirk are part a huge political machine slowly crushing people all over the world. There's a hopeless rage that would naturally drive even the most calm person to the edge of violence. You can't look at the world honestly and be OK. We want to do something. We want to react. But everything we do is silenced or must rmain silent. So it's easy to understand why someone might choose violence. Very different situation, but everyone is subject to the same national and international influences.
I don't promote violence, not because I disagree with it but because I think it's expensive. It takes time to plan, especially for those trying to get away. Guns are not cheap, nor are bullets, nor is the range time you need to get somewhat good under pressure. It's not cheap for the person doing it, and it's not cheap for the community that has to clean up. The community will face police repression (which, if we're honest, was gonna come anyway). The community will have to post bail, will lose a person for a while, will need to support the family, will go to hearings, will write reports, will do interviews.
Sun Tzu said that deploying one soldier to the front takes 7 in the field. Logistics are a huge invisible cost. Some of that time and energy could be reused. It's never bad to be armed and able to defend if needed. But a lot of that energy and time would be better spent planning a community pantry, a tool library, organizing a union, etc. We are living in a disaster, and we need to invest in thriving through the next crumble.
Kirk is replacable. They're almost all replacable, because they don't really care about human life. We do, so none of us are. It's not really a worth while trade, IMHO.

Nesting-driven ferromagnetism of itinerant electrons
Ya. I. Rodionov, A. V. Rozhkov, M. E. S. Beck, A. O. Sboychakov, K. I. Kugel, A. L. Rakhmanov
https://arxiv.org/abs/2507.11614

Nesting-driven ferromagnetism of itinerant electrons
We theoretically investigate a model with electrons and holes whose Fermi surfaces are perfectly nested. The fermions are assumed to be interacting, both with each other and with the lattice. To suppress inhomogeneous states, a sufficiently strong long-range Coulomb repulsion is included into the model. Using the mean field approximation, one can demonstrate that in the absence of doping, the ground state of such a model is insulating and possesses a density-wave order, either SDW, or CDW. Upon…

Differential Geometry on Pointwise Affine Spaces
Dan Jonsson
https://arxiv.org/abs/2509.06748 https://arxiv.org/pdf/2509.06748

Differential Geometry on Pointwise Affine Spaces
We introduce an alternative formalization of curved spaces in which the concept of a pointwise affine space, as defined here, replaces that of a manifold. New or modified definitions of familiar notions from differential geometry such as connections, torsion, Riemann curvature, vector fields and differentiation of vector fields are presented, and examples of applications of the resulting framework are given. In general, the notions and results considered receive simpler and more transparent for…

Neural Stochastic Differential Equations on Compact State-Spaces
Yue-Jane Liu, Malinda Lu, Matthew K. Nock, Yaniv Yacoby
https://arxiv.org/abs/2508.17090 https://

Neural Stochastic Differential Equations on Compact State-Spaces
Many modern probabilistic models rely on SDEs, but their adoption is hampered by instability, poor inductive bias outside bounded domains, and reliance on restrictive dynamics or training tricks. While recent work constrains SDEs to compact spaces using reflected dynamics, these approaches lack continuous dynamics and efficient high-order solvers, limiting interpretability and applicability. We propose a novel class of neural SDEs on compact polyhedral spaces with continuous dynamics, amenable …

Phases of Interacting Fibonacci Anyons on a Ladder at Half-Filling
Nico Kirchner, Roderich Moessner, Frank Pollmann, Adam Gammon-Smith
https://arxiv.org/abs/2507.22115 https://

Phases of Interacting Fibonacci Anyons on a Ladder at Half-Filling
Two-dimensional many-body quantum systems can exhibit topological order and support collective excitations with anyonic statistics different from the usual fermionic or bosonic ones. With the emergence of these exotic point-like particles, it is natural to ask what phases can arise in interacting many-anyon systems. To study this topic, we consider the particular case of Fibonacci anyons subject to an anyonic tight-binding model with nearest-neighbor repulsion on a two-leg ladder. Focusing on t…

What if I ask in \textit{alia lingua}? Measuring Functional Similarity Across Languages
Debangan Mishra, Arihant Rastogi, Agyeya Negi, Shashwat Goel, Ponnurangam Kumaraguru
https://arxiv.org/abs/2509.04032

What if I ask in \textit{alia lingua}? Measuring Functional Similarity Across Languages
How similar are model outputs across languages? In this work, we study this question using a recently proposed model similarity metric $κ_p$ applied to 20 languages and 47 subjects in GlobalMMLU. Our analysis reveals that a model's responses become increasingly consistent across languages as its size and capability grow. Interestingly, models exhibit greater cross-lingual consistency within themselves than agreement with other models prompted in the same language. These results highlight not o…

Pseudo-Isometric Surgery
Matt Clay, Josh Thompson
https://arxiv.org/abs/2507.23666 https://arxiv.org/pdf/2507.23666…

Pseudo-Isometric Surgery
We introduce a type of surgery on metric spaces. This surgery, in some sense, seeks to replace a subspace $S$ of a metric space $X$ with another metric space $T$ via a function $f : S \to T$. When $T$ is a discrete space, this amounts to collapsing the subspace according to the function. This surgery results in a new metric space we denote $\widehat{X}_f$ and there is a natural function $F : X \to \widehat{X}_f$ induced from $f$. Our primary interest is investigating if properties of the origin…

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong
https://arxiv.org/abs/2506.19144

Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
This work establishes that sparse Bayesian neural networks achieve optimal posterior contraction rates over anisotropic Besov spaces and their hierarchical compositions. These structures reflect the intrinsic dimensionality of the underlying function, thereby mitigating the curse of dimensionality. Our analysis shows that Bayesian neural networks equipped with either sparse or continuous shrinkage priors attain the optimal rates which are dependent on the intrinsic dimension of the true structu…

Large deviations at the edge for 1D gases and tridiagonal random matrices at high temperature
Charlie Dworaczek Guera, Ronan Memin
https://arxiv.org/abs/2507.14008

Large deviations at the edge for 1D gases and tridiagonal random matrices at high temperature
We consider a model for a gas of $N$ confined particles subject to a two-body repulsive interaction, namely the one-dimensional log or Riesz gas. We are interested in the so-called \textit{high temperature} regime, \textit{ie} where the inverse temperature $β_N$ scales as $Nβ_N\rightarrow2P>0$. We establish, in the log case, a large deviation (LD) principle and moderate deviations estimates for the largest particle $x_\mathrm{max}$ when appropriately rescaled . Our result is an extension of […

Robust Live Streaming over LEO Satellite Constellations: Measurement, Analysis, and Handover-Aware Adaptation
Hao Fang, Haoyuan Zhao, Jianxin Shi, Miao Zhang, Guanzhen Wu, Yi Ching Chou, Feng Wang, Jiangchuan Liu
https://arxiv.org/abs/2508.13402

Robust Live Streaming over LEO Satellite Constellations: Measurement, Analysis, and Handover-Aware Adaptation
Live streaming has experienced significant growth recently. Yet this rise in popularity contrasts with the reality that a substantial segment of the global population still lacks Internet access. The emergence of Low Earth orbit Satellite Networks (LSNs), such as SpaceX's Starlink and Amazon's Project Kuiper, presents a promising solution to fill this gap. Nevertheless, our measurement study reveals that existing live streaming platforms may not be able to deliver a smooth viewing experience on…