Tootfinder

I've finally figured out this European nobility fad.
The difference between a marquess and marquis is that a marquis holds a slightly higher nobility because he can fill out a french brassiere. The marquess is jealous of all frenchmen. They both admit that french cheese is dirtier and better.
An archduke speaks disparagingly of both of them.
#Nobility

Did you know?
Russia was originally called Muscovy, and it was a colony of Kyev!
Kyev was was one of the largest cities in Europe around 900-1000 AD, and they sent their worst nobility to Muscovy.
Then Russia was the bitch of the Mongols for several centuries.
They are nothing but second-hand toxic waste in human form - personal opinion.
Dylan shares all sorts of history and perspective of the modern situation, as a retired military analyst and Russian linguist.…

Ukraine Update November 6
2025 — Electrical Grids, Not Knowing Where Father Is

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Dove Ellis:
🎵 Pale Song
#DoveEllis
https://doveellis.bandcamp.com/track/pale-song
https://open.spotify.com/track/5NbilllIdF8lp4FmdX7OF8

LLMs are a fundamentally useless technology because their applications (supposedly) boil down to humans not having to think for themselves or do their own writing / drawing / filming.
But if you can do it on your own - why would you need a robot to do it? It’s, at best, a novelty.
That’s why this shit only resonates with executives and capital owners. “Get things done with fewer people and expenses” is at least an actual pitch. “Get things done faster for yourself” isn’t.
The individual angle really works for things you already were trying to avoid doing because you’re either disinterested or don’t have enough time to do things right.
“Avoid your work” as a value proposition doesn’t work when you’re dealing with intellectual labor rather than commodities. Not large scale, not long term.
Sorry for the rant, I saw some Notion ads on the subway and got irritated 😅
#AI #llm #LLMs

Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy
Jiahao Ma, Hongzong Li, Ye-Fan Hu, Jian-Dong Huang
https://arxiv.org/abs/2510.05747

Physicochemically Informed Dual-Conditioned Generative Model of T-Cell Receptor Variable Regions for Cellular Therapy
Physicochemically informed biological sequence generation has the potential to accelerate computer-aided cellular therapy, yet current models fail to \emph{jointly} ensure novelty, diversity, and biophysical plausibility when designing variable regions of T-cell receptors (TCRs). We present \textbf{PhysicoGPTCR}, a large generative protein Transformer that is \emph{dual-conditioned} on peptide and HLA context and trained to autoregressively synthesise TCR sequences while embedding residue-level…

Degeneration of Riemann surfaces and small eigenvalues of the Laplacian
Xianzhe Dai, Ken-Ichi Yoshikawa
https://arxiv.org/abs/2509.06151 https://arxiv.org/…

Degeneration of Riemann surfaces and small eigenvalues of the Laplacian
For a one-parameter degeneration of compact Riemann surfaces endowed with the Kähler metric induced from the Kähler metric on the total space of the family, we determine the exact magnitude of the small eigenvalues of the Laplacian as a function on the parameter space, under the assumption that the singular fiber is reduced. The novelty in our approach is that we compute the asymptotic behavior of certain difference of (logarithm of) analytic torsions in the degeneration in two ways. On the o…

Global weak solutions to nonlinear kinetic Fokker--Planck equations in bounded domains under physical initial data
Young-Pil Choi, Sihyun Song
https://arxiv.org/abs/2510.06656 h…

Global weak solutions to nonlinear kinetic Fokker--Planck equations in bounded domains under physical initial data
We establish the global existence of weak solutions to a nonlinear kinetic Fokker--Planck equation with degenerate diffusion, under either inflow or partial absorption-reflection boundary conditions. The novelty of our approach lies in constructing solutions under solely the physical assumptions on the initial and boundary data, namely finite mass, kinetic energy, and entropy, with no additional regularity imposed. To overcome the lack of uniform ellipticity, we develop a new compactness princi…

🇺🇦 #NowPlaying on #BBC6Music's #NickGrimshaw
Yello:
🎵 Bostich
#Yello
https://neapolitansoulrecords.bandcamp.com/track/yello-bostich-ns-cut
https://open.spotify.com/track/365fQNeYERzuJLzfUEEhLl

On the Adversarial Robustness of Learning-based Conformal Novelty Detection
Daofu Zhang, Mehrdad Pournaderi, Hanne M. Clifford, Yu Xiang, Pramod K. Varshney
https://arxiv.org/abs/2510.00463

On the Adversarial Robustness of Learning-based Conformal Novelty Detection
This paper studies the adversarial robustness of conformal novelty detection. In particular, we focus on AdaDetect, a powerful learning-based framework for novelty detection with finite-sample false discovery rate (FDR) control. While AdaDetect provides rigorous statistical guarantees under benign conditions, its behavior under adversarial perturbations remains unexplored. We first formulate an oracle attack setting that quantifies the worst-case degradation of FDR, deriving an upper bound that…

Code Smell Detection via Pearson Correlation and ML Hyperparameter Optimization
Moinuddin Muhammad Imtiaz Bhuiyan, Kazi Ekramul Hoque, Rakibul Islam, Md. Mahbubur Rahman Tusher, Najmul Hassan, Yoichi Tomioka, Satoshi Nishimura, Jungpil Shin, Abu Saleh Musa Miah
https://arxiv.org/abs/2510.05835

Code Smell Detection via Pearson Correlation and ML Hyperparameter Optimization
This study addresses the challenge of detecting code smells in large-scale software systems using machine learning (ML). Traditional detection methods often suffer from low accuracy and poor generalization across different datasets. To overcome these issues, we propose a machine learning-based model that automatically and accurately identifies code smells, offering a scalable solution for software quality analysis. The novelty of our approach lies in the use of eight diverse ML algorithms, incl…