Tootfinder

There has long been a quiet debate, currently drowned out but still very much happening, about human replacement vs human augmentation. Think of Gary Kasparov remarking years ago that he thought chess played by humans with computer assistance could be a far more interesting game than either human-only or computer-only chess.
Here’s an argument for augmentation over automation, and note how far it diverges from the current hype despite it being written from a very AI-friendly point of view:
https://digitaleconomy.stanford.edu/news/the-turing-trap-the-promise-peril-of-human-like-artificial-intelligence/

🇺🇦 Auf radioeins läuft...
Keshavara, Der Assistent:
🎵 Omzerzura (Hypno Dub)
#NowPlaying #Keshavara #DerAssistent
https://keshavara.bandcamp.com/track/omzerzura-hypno-dub-by-der-assistent-2

I generally don't like making fun of names, but Pete Kegsbreath is an exception.

Trump Wants You to Get Used to This (Ruth Ben-Ghiat/New York Times)
https://www.nytimes.com/2025/06/15/opinion/trump-military-parade-protest.html?unlocked_article_code=1.PU8.0H_r.r-3Ka8cZPrra&smid=url-share
http://www.memeorandum.com/250615/p82#a250615p82

Belarusian hackers taunt Kaspersky over report detailing their attacks https://therecord.media/belarusian-hackers-taunt-kaspersky-ver-report

Distribution of polynomial orbits in Toeplitz systems
Kosma Kasprzak
https://arxiv.org/abs/2506.12942 https://arxiv.org/pdf/2506.1294…

Distribution of polynomial orbits in Toeplitz systems
We examine the convergence of ergodic averages along polynomials in Toeplitz systems and prove that it is possible for averages along one polynomial to converge, and along another to diverge. We also study density of the polynomial orbits in Toeplitz systems -- we show that it implies equidistribution of the polynomial orbits in the class of regular Toeplitz systems, but not in the class of strictly ergodic ones.

Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation
Farid Mafi (University of Waterloo, Waterloo, Canada), Ladan Khoshnevisan (University of Waterloo, Waterloo, Canada), Mohammad Pirani (University of Ottawa, Ottawa, Canada), Amir Khajepour (University of Waterloo, Waterloo, Canada)

Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation
Vehicle state estimation presents a fundamental challenge for autonomous driving systems, requiring both physical interpretability and the ability to capture complex nonlinear behaviors across diverse operating conditions. Traditional methodologies often rely exclusively on either physics-based or data-driven models, each with complementary strengths and limitations that become most noticeable during critical scenarios. This paper presents a novel consensus multi-model Kalman filter framework t…

Unterhaltung im Stau am Irschenberg Richtung München #Kasperl 😄

https://www.thebaltimorebanner.com/community/local-news/archdiocese-baltimore-berkeley-research-hack-KGQ6WS73GVBRRNNE2P2C5VGI5M/
Hey guys, good news! The threat actor who stole the data from the Archd…

Firm in Archdiocese of Baltimore bankruptcy case says stolen data was deleted after hack
Berkeley Research Group LLC on April 29 filed a notice of data security incident in the case.