Tootfinder

Valle dei Sogni (2026)
(Complete solitude in the valley of dreams — that's how it felt and how I will remember/cherish it...)
#FootpathFriday #LandscapePhotography #NaturePhotography

"Record low water levels across Europe reveal mammoth skeletons and forgotten shipwrecks – video"
#Europe #Climate #ClimateChange

Record low water levels across Europe reveal mammoth skeletons and forgotten shipwrecks – video
Water levels across several of Europe’s major waterways have dropped to exceptionally low levels

Source: OpenAI's Astra model uses "recurrent depth", a technique that improves cost and performance but obscures the AI's reasoning, making it harder to monitor (The Information)
https://www.theinformation.com/articles/se

OpenAI Technique in ‘Astra’ Model Sparks Security Concerns
OpenAI says its forthcoming AI model Astra marks a step up in capabilities such as coding and operating applications on a computer. But an innovative technique that improved the model’s performance also means that the model, and others like it, will reveal less of their “thinking,” making them ...

Hätte man auch schon beim ersten Mal wissen können. 🤷
🗺️ Blueprint #37 2/6
🟩🟨⬛⬛⬛⬆️
🟩🟩🟩🟩🟩🎉
#Blueprint

Blueprint
Find the city shown on a map. Wrong guesses reveal more of the map — streets, parks, railways — plus a hint each time.

Cowboys Reveal ‘Tampering’ Concern on Blockbuster NFL Trade for $106 Million Superstar https://heavy.com/sports/nfl/dallas-cowboys/nfl-trade-rumors-news-raiders-maxx-crobsy/

An ancient sandstorm recorded by supercritical climbing wind ripple strata in Gale crater, Mars: #Curiosity Finds Evidence of an Ancient Sandstorm: https://science.nasa.gov/photojournal/curiosity-finds-evidence-of-an-ancient-sandstorm/

"What 311 academic librarians from 31 countries told us about AI"
https://blog.degruyter.com/what-311-academic-librarians-from-31-countries-told-us-about-ai/
"The use of artificial intelligence in higher education is s…

Non-Thermal Pressure due to Gas Motions in the Intracluster Medium: Confronting XRISM/Resolve with TNG-Cluster Simulations
Erwin T. Lau, Naomi Ota, Daisuke Nagai
https://arxiv.org/abs/2608.04757 https://arxiv.org/pdf/2608.04757 https://arxiv.org/html/2608.04757
arXiv:2608.04757v1 Announce Type: new
Abstract: Intracluster medium (ICM) gas motions probe cluster assembly, feedback, and non-thermal pressure support, but recent XRISM observations reveal velocity dispersions and non-thermal pressure fractions systematically lower than simulations predict, with extreme systems such as Abell 2029 falling below nearly all simulated clusters. Using the TNG-Cluster simulations, we show that the non-thermal pressure fraction depends sensitively on cool-core state and formation history, and provide a two-scale fitting function capturing both the inner cool-core suppression and outer rise of the radial profile. By forward-modeling mock XRISM observations and comparing them with both projected and intrinsic three-dimensional quantities, we find that azimuthal variations and projection effects contribute to the deficit in the observed velocity dispersion and non-thermal pressure fraction. This bias increases with radius and partially offsets the intrinsic outward rise in the true three-dimensional non-thermal pressure fraction. However, these effects cannot explain the extremely low values of the non-thermal pressure fraction observed in Abell 2029, which fall below approximately the 0th - 6th percentiles of the simulated cool-core cluster distribution at every measured radius under both the turbulence-only and turbulence-plus-bulk definitions. The remaining tension points to rare dynamical conditions or missing physics affecting the amplitude of gas motions in current ICM models.
toXiv_bot_toot

Dafür, dass ich oft einfach ins Blaue rate, läuft es eigentlich ganz gut.
🗺️ Blueprint #5 1/6
🟩🟩🟩🟩🟩🎉
#Blueprint

Blueprint
Find the city shown on a map. Wrong guesses reveal more of the map — streets, parks, railways — plus a hint each time.

Heute war wieder einfach.
🗺️ Blueprint #4 1/6
🟩🟩🟩🟩🟩🎉
#Blueprint #polarcade

Blueprint
Find the city shown on a map. Wrong guesses reveal more of the map — streets, parks, railways — plus a hint each time.