Tootfinder

Frau #Atelierhütehund ist jetzt platt, sie hat vorhin immerhin einen ganzen Weihnachtsmarkt gehütet.

ey, immerhin nur 2,5 Überstunden diese Woche.
Es war schon schlimmer.

"The student’s education then becomes not a victory for their own self-improvement or -enrichment, but rather that the teacher conquered the student’s presumed inherent laziness, shiftiness, etc. to instill some kernel of a lesson."
#FediLZ
@…

X-Ray Polarimetry of Accreting White Dwarfs - A Case Study of EX Hydrae: #WhiteDwarf system: https://news.mit.edu/2025/first-look-innermost-region-white-dwarf-system-1120 - X-ray observations reveal surprising features of the dying star’s most energetic environment.

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Imarhan:
🎵 Téllalt
#Imarhan
https://imarhan.bandcamp.com/track/tellalt
https://open.spotify.com/track/2ghykYX3U82Iijvmw0dZVf

Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
Luca Miglior, Matteo Tolloso, Alessio Gravina, Davide Bacciu
https://arxiv.org/abs/2512.17762 https://arxiv.org/pdf/2512.17762 https://arxiv.org/html/2512.17762
arXiv:2512.17762v1 Announce Type: new
Abstract: Effectively capturing long-range interactions remains a fundamental yet unresolved challenge in graph neural network (GNN) research, critical for applications across diverse fields of science. To systematically address this, we introduce ECHO (Evaluating Communication over long HOps), a novel benchmark specifically designed to rigorously assess the capabilities of GNNs in handling very long-range graph propagation. ECHO includes three synthetic graph tasks, namely single-source shortest paths, node eccentricity, and graph diameter, each constructed over diverse and structurally challenging topologies intentionally designed to introduce significant information bottlenecks. ECHO also includes two real-world datasets, ECHO-Charge and ECHO-Energy, which define chemically grounded benchmarks for predicting atomic partial charges and molecular total energies, respectively, with reference computations obtained at the density functional theory (DFT) level. Both tasks inherently depend on capturing complex long-range molecular interactions. Our extensive benchmarking of popular GNN architectures reveals clear performance gaps, emphasizing the difficulty of true long-range propagation and highlighting design choices capable of overcoming inherent limitations. ECHO thereby sets a new standard for evaluating long-range information propagation, also providing a compelling example for its need in AI for science.
toXiv_bot_toot

Snap reaches an agreement to settle a social media addiction lawsuit, a week before the start of a trial in the first of several social media addiction lawsuits (Cecilia Kang/New York Times)
https://www.nytimes.com/2026…

Snap Settles Lawsuit on Social Media Addiction, Avoiding a Landmark Trial
The settlement means Snap will avoid a trial where plaintiffs had planned to argue that social media platforms are inherently defective and subject to personal injury liability.

🇺🇦 Auf radioeins läuft...
Imarhan:
🎵 Derhan N Oulhine
#NowPlaying #Imarhan
https://imarhan.bandcamp.com/track/derhan-n-oulhine
https://open.spotify.com/track/0EY3h4xFDtRkHA8dGED9qR

Snap reaches an agreement to settle a social media addiction lawsuit, a week before the start of a trial in the first of several such lawsuits (Cecilia Kang/New York Times)
https://www.nytimes.com/2026/01/20/technol

Snap Settles Lawsuit on Social Media Addiction, Avoiding a Landmark Trial
The settlement means Snap will avoid a trial where plaintiffs had planned to argue that social media platforms are inherently defective and subject to personal injury liability.

Gar keine Eisriesen? Neptun und Uranus Im Innern womöglich doch eher felsig
Die beiden äußersten Planeten des Sonnensystems gelten allgemein als Eisriesen, dabei wissen wir nur wenig über ihr Inneres. Das unterstreicht eine neue Studie.