Tootfinder

🇺🇦 #NowPlaying on KEXP's #90TEEN
Adi Oasis:
🎵 Stuck In My Head
#AdiOasis
https://open.spotify.com/track/2XFW2M843o9gr7O5YQJnDp

🇺🇦 #NowPlaying on BBCRadio3's #JazzRecordRequests
Nina Simone:
🎵 Nobody Knows You When You're Down and Out
#NinaSimone
https://open.spotify.com/track/1Xbvv7NuikkjkWoq8v9oGA

Conan O'Brien's 98th Oscars Cold Open (2026)
https://www.youtube.com/watch?v=XjvnclCos_0

🇺🇦 Auf radioeins läuft...
Foo Fighters:
🎵 Unconditional
#NowPlaying #FooFighters
#newRelease 🆕 album
https://open.spotify.com/track/6XXGFvmgdr7DqUolaSxgYh

UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
Wei Chen, Yuqian Wu, Junle Chen, Xiaofang Zhou, Yuxuan Liang
https://arxiv.org/abs/2602.20677 https://arxiv.org/pdf/2602.20677 https://arxiv.org/html/2602.20677
arXiv:2602.20677v1 Announce Type: new
Abstract: Urban systems, as dynamic complex systems, continuously generate spatio-temporal data streams that encode the fundamental laws of human mobility and city evolution. While AI for Science has witnessed the transformative power of foundation models in disciplines like genomics and meteorology, urban computing remains fragmented due to "scenario-specific" models, which are overfitted to specific regions or tasks, hindering their generalizability. To bridge this gap and advance spatio-temporal foundation models for urban systems, we adopt scaling as the central perspective and systematically investigate two key questions: what to scale and how to scale. Grounded in first-principles analysis, we identify three critical dimensions: heterogeneity, correlation, and dynamics, aligning these principles with the fundamental scientific properties of urban spatio-temporal data. Specifically, to address heterogeneity through data scaling, we construct WorldST. This billion-scale corpus standardizes diverse physical signals, such as traffic flow and speed, from over 100 global cities into a unified data format. To enable computation scaling for modeling correlations, we introduce the MiniST unit, a novel split mechanism that discretizes continuous spatio-temporal fields into learnable computational units to unify representations of grid-based and sensor-based observations. Finally, addressing dynamics via architecture scaling, we propose UrbanFM, a minimalist self-attention architecture designed with limited inductive biases to autonomously learn dynamic spatio-temporal dependencies from massive data. Furthermore, we establish EvalST, the largest-scale urban spatio-temporal benchmark to date. Extensive experiments demonstrate that UrbanFM achieves remarkable zero-shot generalization across unseen cities and tasks, marking a pivotal first step toward large-scale urban spatio-temporal foundation models.
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #AstralPlane
The Circling Sun:
🎵 Mizu
#TheCirclingSun
https://thecirclingsun.bandcamp.com/track/mizu
https://open.spotify.com/track/1xPNCekVV9V2NHoVif7roq

Remember. Remember when we were the good guys... fighting the fascists.
With kindness.
▶️ A Russian prisoner never forgot the American POWs who fed him in a Nazi Prison Camp (1988)
https://youtube.com/watch?v=xf8aM5zYzNk&si=1Zvhih5OK9X57Hom

[BLOG] BitBastelei #689 – Kabelloser Veranstaltungsscheinwerfer: Akkutausch https://www.adlerweb.info/blog/2026/04/19/bitbastelei-689-kabelloser-veranstaltungsscheinwerfer-akkutausch/

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Patrick Hawes, Prague Symphony Orchestra & Patrick Hawes:
🎵 Fair Albion
#PatrickHawes #PragueSymphonyOrchestra
https://open.spotify.com/track/1xpMU63SS8oVKWCZmbj3WK

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Michael Nyman, Michael Nyman Band & Michael Nyman:
🎵 Chasing Sheep is Best Left to Shepherds (The Draughtman's Contract)
#MichaelNyman #MichaelNymanBand
https://open.spotify.com/track/1X1fNmGkbQBtLV9Gz5lYju