Tootfinder

Google DeepMind unveils AlphaEarth Foundations, an AI model that unifies petabytes of Earth observation data and helps scientists create detailed maps on demand (Google DeepMind)
https://deepmind.google/discover/blog/alphaearth-found…

AlphaEarth Foundations helps map our planet in unprecedented detail
New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring

When you've had enough of automating every little thing and just want to get stuff done and end up manually generating a bunch of (very slow to generate) PDF plots, then concatenate all of them with #ghostScript, then extract the text with #pdf2txt, use a regex in Python to find some numbers and…

This morning's #NLC show over Bochum, Germany: extended but not that bright, with only a few interesting details, selected here: See https://www.facebook.com/dan.fischer.393/posts/pfbid025vdCUuoc32qTjXDjTB6zXs9p3EXHSW6HkV4dAxsLirBMLTg2vNKQTykrU5Y5Hbzdl for the full series and https://www.facebook.com/groups/leuchtendenachtwolken/posts/3971122466444367/ and https://www.facebook.com/groups/nlcaroundtheworld/posts/1703406993628232/ for other selections.

Trump and the EU Dodge a Trade War (Wall Street Journal)
https://www.wsj.com/opinion/trump-and-the-eu-dodge-a-trade-war-tariffs-policy-economy-0064e989?st=PTVtwa&reflink=article_copyURL_share
http://www.memeorandum.com/250727/p63#a250727p63

The Future of Memory: Limits and Opportunities
Shuhan Liu, Samuel Dayo, Peijing Li, Philip Levis, Subhasish Mitra, Thierry Tambe, David Tennenhouse, H. -S. Philip Wong
https://arxiv.org/abs/2508.20425 …

The Future of Memory: Limits and Opportunities
Memory latency, bandwidth, capacity, and energy increasingly limit performance. In this paper, we reconsider proposed system architectures that consist of huge (many-terabyte to petabyte scale) memories shared among large numbers of CPUs. We argue two practical engineering challenges, scaling and signaling, limit such designs. We propose the opposite approach. Rather than create large, shared, homogenous memories, systems explicitly break memory up into smaller slices more tightly coupled with …

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
Trisanth Srinivasan, Santosh Patapati
https://arxiv.org/abs/2508.19562 https://

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
This paper introduces Democracy-in-Silico, an agent-based simulation where societies of advanced AI agents, imbued with complex psychological personas, govern themselves under different institutional frameworks. We explore what it means to be human in an age of AI by tasking Large Language Models (LLMs) to embody agents with traumatic memories, hidden agendas, and psychological triggers. These agents engage in deliberation, legislation, and elections under various stressors, such as budget cris…

High performance visualization for Astronomy and Cosmology: the VisIVO's pathway toward Exascale systems
Eva Sciacca, Nicola Tuccari, Fabio Vitello, Valentina Cesare
https://arxiv.org/abs/2508.20603

High performance visualization for Astronomy and Cosmology: the VisIVO's pathway toward Exascale systems
Petabyte-scale data volumes are generated by observations and simulations in modern astronomy and astrophysics. Storage, access, and data analysis are significantly hampered by such data volumes and are leading to the development of a new generation of software tools. The Visualization Interface for the Virtual Observatory (VisIVO) has been designed, developed and maintained by INAF since 2005 to perform multi-dimensional data analysis and knowledge discovery in multivariate astrophysical datas…

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Dehd:
🎵 Pure Gold
#Dehd
https://dehdforever.bandcamp.com/track/pure-gold
https://open.spotify.com/track/1pTp6DJ8CeXeDu5tngTrhq

🇺🇦 #NowPlaying on #BBC6Music's #FocusBeats
Poté:
🎵 Stare (instrumental)
#Poté
https://potepotepote.bandcamp.com/track/stare
https://open.spotify.com/track/1Z0q3Z7O86XVoSvfOi4xXN