Tootfinder

Stadt sperrt Fußgängerzone für Autos. 🤦
https://www.saechsische.de/lokales/dresden/sperrung-fuer-autos-und-lkw-tiefgarage-unter-prager-strasse-in-dresden-einsturzgefaehrdet-4N…

Tiefgarage unter der Prager Straße in Dresden ist einsturzgefährdet
Entlang der Prager Zeile in Dresden dürfen keine Autos und Lkw mehr fahren. Die unterirdische Anlage ist einsturzgefährdet.

Efficient Band Structure Unfolding with Atomic-centered Orbitals: General Theory and Application
Jingkai Quan, Nikita Rybin, Matthias Scheffler, Christian Carbogno
https://arxiv.org/abs/2506.21089

Efficient Band Structure Unfolding with Atomic-centered Orbitals: General Theory and Application
Band structure unfolding is a key technique for analyzing and simplifying the electronic band structure of large, internally distorted supercells that break the primitive cell's translational symmetry. In this work, we present an efficient band unfolding method for atomic orbital (AO) basis sets that explicitly accounts for both the non-orthogonality of atomic orbitals and their atom-centered nature. Unlike existing approaches that typically rely on a plane-wave representation of the (semi-)val…

„#Project2025 ist der eigentliche Motor des #Trump|schen Theaters. Ich habe vor über einem Jahr die ganzen 900 Seiten durchgelesen. Der Kern von Project 2025 ist die Abschaffung des rechtmäßigen Verwaltungsstaates. Das erreicht man durch die Auflösung oder Streichung der Mittel aller Ministe…

🤦🏻‍♀️BlackRock’s Bitcoin ETF Generating More Revenue Than Its Flagship S&P 500 Fund
https://www.coindesk.com/markets/2025/07/02/blackrock-s-bitcoin-etf-now-generates-more-revenue-than-its-flagship-s-and-p-5…

Inside the Vera C. Rubin Observatory, whose 3.2-gigapixel camera will produce 60PB of space image data over 10 years, to be analyzed using ML and deep learning (New York Times)
https://www.nytimes.com/2025/06/20/science…

How Vera Rubin Telescope Scientists Will Deal With 60 Million Billion Bytes of Imagery
The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
Yusen Peng, Shuhua Mao
https://arxiv.org/abs/2507.18004 https://arxiv.org/p…

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
How can AI move beyond imitation toward genuine creativity? This paper proposes the E.A.R.T.H. framework, a five-stage generative pipeline that transforms model-generated errors into creative assets through Error generation, Amplification, Refine selection, Transform, and Harness feedback. Drawing on cognitive science and generative modeling, we posit that "creative potential hides in failure" and operationalize this via structured prompts, semantic scoring, and human-in-the-loop evaluation. Im…

Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design
Latent Labs Team, Alex Bridgland, Jonathan Crabb\'e, Henry Kenlay, Daniella Pretorius, Sebastian M. Schmon, Agrin Hilmkil, Rebecca Bartke-Croughan, Robin Rombach, Michael Flashman, Tomas Matteson, Simon Mathis, Alexander W. R. Nelson, David Yuan, Annette Obika, Simon A. A. Kohl
https:/…

Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design
Traditional drug discovery relies on rounds of screening millions of candidate molecules with low success rates, making drug discovery time and resource intensive. To overcome this screening bottleneck, we introduce Latent-X, an all-atom protein design model that enables a new paradigm of precision AI design. Given a target protein epitope, Latent-X jointly generates the all atom structure and sequence of the protein binder and target, directly modelling the non-covalent interactions essential …

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
Kai-Robin Lange, Tobias Schmidt, Matthias Reccius, Henrik M\"uller, Michael Roos, Carsten Jentsch
https://arxiv.org/abs/2506.20269

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
With rapidly evolving media narratives, it has become increasingly critical to not just extract narratives from a given corpus but rather investigate, how they develop over time. While popular narrative extraction methods such as Large Language Models do well in capturing typical narrative elements or even the complex structure of a narrative, applying them to an entire corpus comes with obstacles, such as a high financial or computational cost. We propose a combination of the language understa…

🇺🇦 #NowPlaying on KEXP's #SoundsOfSurvivance
Raven Chacon:
🎵 Black Streaked Humming
#RavenChacon
https://ravenchacon.bandcamp.com/track/black-streaked-humming
https://open.spotify.com/track/1TVIEuaZXZaU8a4aqf0VeO

This is at the core of my depression.
For nearly all of human history, the majority of humans lived in what we today would call subsistence poverty. It was mostly unavoidable.
Sometime in the '60s we crossed over into being unequivocally able to feed everyone every year. People in the modern world only struggle to eat because of economic & political barriers designed to starve them. The world has worse famine problems right now than at any point in my lifetime.
1/x…