Tootfinder

Digitale Souveränität: Nein! – Doch! – Oh!
Kommende Woche sprechen EU-Länderspitzen über digitale Souveränität. Warum Autor Falk Steiner das Thema allzu oft an eine berühmte Filmszene erinnerte.
https://www.

Brian Schottenheimer shares feelings on dealing with infamous sun glare in Week 7 https://www.si.com/nfl/cowboys/news/brian-schottenheimer-shares-feelings-dealing-infamous-sun-glare-nfl-week-7

@… guten morgen! re flameshot (https://www.tub.tuhh.de/tubtorials/2024/11/30/screenshot-tools-mein-aha-moment-mit-fla…

«an ineffectual "open source revolution" that maintains the status quo of our modern day hellscape by facilitating an upwards transfer of wealth and power, amassed by the hyperscalers who are now entering their final, fascistic form. Open source "won" by aiding and abetting the already dominant owner-class.»
Quite a long read, but the core issue of where FLOSS is failing feels about right to me.
https://blog.muni.town/open-source-power/

SEC filing: Jeff Bezos discloses that he now owns 9% of Amazon's shares, down from 10.1% a year ago, after selling 100M shares over the course of the past year (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Jeff Bezos’ Ownership Stake in Amazon Drops Below 10 Percent as Tech Mogul Continued Stock Sell-Off
The Amazon founder has been selling off his shares at a regular cadence since stepping aside as CEO four years ago.

Series C, Episode 06 - City at the Edge of the World
KERRIL: Right. What are you expecting him to do?
VILA: I'm expecting him to try and kill us.
KERRIL: What?
https://blake.torpidity.net/m/306/332 B7B4

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…