Tootfinder

The Wikipedia article is pretty good, but it’s overwhelming. It flows poorly. It lurches from big picture to over-specific details in a way that makes it hard to approach the article if you don’t already know the material.
The cacophony of voices behind it, though well-synthesized, still shows.
2/

An approximate history of my amateur phone photography:
1. Really poor photos. Unsavory interest in (low resolution) panoramas.
2. Photos get a little better. Sometimes they're HDRs (I suspect the camera app was set to "auto").
3. A new phone. Higher resolution and a gyroscope.
4. Switching to LineageOS, and therefore to #OpenCamera. HDR enabled unconditionally.
5. HDR does not always come great (compared to the stock Motorola app that doesn't work anymore). I enable saving component photos, so I could try getting a better quality combination using the PC. I never manage that.
6. I start experimenting with exposure correction (combined with HDR). Sometimes I do multiple photos with different "Eves" to choose the best one.
7. A new phone. Finally, given even the gyroscope was failing already.
8. I learn that Pixels have "HDR " that gets activated when you do standard mode photos. For a while I do both standard and HDR photos; also I compare the middle component image with the standard mode image. [https://opencamera.sourceforge.io/help.html#faq]
9. Before I reach any final conclusions, I read "What is HDR, anyway?" I disable HDR entirely, instead I save standard mode (i.e. HDR ) raw images (which presumably aren't affected by HDR ) [https://www.lux.camera/what-is-hdr/]. Not that I ever managed to get anything good out of raws.
10. I discover that I can switch the lens. Today I've made my first photos, switching lens to get optical zoom 💪.

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Sina J. Semnani, Han Zhang, Xinyan He, Merve Tekg\"urler, Monica S. Lam
https://arxiv.org/abs/2509.19768

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Accurate text recognition for historical documents can greatly advance the study and preservation of cultural heritage. Existing vision-language models (VLMs), however, are designed for modern, standardized texts and are not equipped to read the diverse languages and scripts, irregular layouts, and frequent degradation found in historical materials. This paper presents CHURRO, a 3B-parameter open-weight VLM specialized for historical text recognition. The model is trained on CHURRO-DS, the la…

Observation of hysteresis in an isolated quantum system of disordered Heisenberg spins
Moritz Hornung, Eduard J. Braun, Sebastian Geier, Titus Franz, Gerhard Z\"urn, Matthias Weidem\"uller
https://arxiv.org/abs/2508.18197

Observation of hysteresis in an isolated quantum system of disordered Heisenberg spins
We find energy-dependent hysteresis in an isolated Heisenberg quantum spin system, similar to thermomagnetic hysteresis in canonical spin glasses in contact with a thermal reservoir. Analogous to zero-field cooling and field cooling in conventional magnetic materials, an annealing protocol is devised to control the energy in an isolated system. Depending on the strength of disorder, the susceptibilities at zero field bifurcate at a specific energy, which signals the presence of different magnet…

A Non-Equilibrium Dissipation Parameter and the Ideal Glass
Jun-Ying Jiang, Liang Gao, Hai-Bin Yu
https://arxiv.org/abs/2509.23266 https://arxiv.org/pdf/25…

A Non-Equilibrium Dissipation Parameter and the Ideal Glass
Glass materials, as quintessential non-equilibrium systems, exhibit properties such as energy dissipation that are highly sensitive to their preparation histories. A key challenge has been identifying a unified order parameter to rationalize these properties. Here, we demonstrate that a configurational distance metric can effectively collapse energy dissipation data across diverse preparation histories and testing protocols, including varying cooling rates, aging processes, probing times, and t…

Dieser Artikel über nukleare #Kleinreaktoren offenbart erstaunliche Parallelen zum aktuellen #KIHype:
"This vision never materialized. No turnkey reactors were carted cross-country or floated up rivers. Then, as earlier, they were deemed too expensive.
[...] Once again, we see h…

Classifiers are notoriously prone to misclassifying things by picking up on hidden and unwanted patterns in the data. The classic hypothetical example is a military that tries to train a classifier to detect images with tanks, but they took all their tank photos on a sunny day and so the classifier just identifies sunny photos.
A real-life example of this happened with a student project: they tried to train a system to determine whether rooms on campus had a positive affect, but accidentally trained it to detect whether photos had ramped-up saturation (because all their “positive affect” photos came from admissions materials).

Making AI Inevitable: Historical Perspective and the Problems of Predicting Long-Term Technological Change
Mark Fisher, John Severini
https://arxiv.org/abs/2508.16692 https://…

Making AI Inevitable: Historical Perspective and the Problems of Predicting Long-Term Technological Change
This study demonstrates the extent to which prominent debates about the future of AI are best understood as subjective, philosophical disagreements over the history and future of technological change rather than as objective, material disagreements over the technologies themselves. It focuses on the deep disagreements over whether artificial general intelligence (AGI) will prove transformative for human society; a question that is analytically prior to that of whether this transformative effect…

Hysteresis Measurements as a Diagnostic Tool: A Systematic Approach for Stability Benchmarking and Performance Projection of 2D-Materials-Based MOSFETs
Alexander Karl, Dominic Waldhoer, Theresia Knobloch, Axel Verdianu, Jo\"el Kurzweil, Mina Bahrami, Mohammad Rasool Davoudi, Pedram Khakbaz, Bernhard Stampfer, Seyed Mehdi Sattari-Esfahlan, Yury Illarionov, Aftab Nazir, Changze Liu, Saptarshi Das, Xiao Renshaw Wang, Junchuan Tang, Yichi Zhang, Congwei Tan, Ye Li, Hailin Peng, Michae…

Hysteresis Measurements as a Diagnostic Tool: A Systematic Approach for Stability Benchmarking and Performance Projection of 2D-Materials-Based MOSFETs
Judging by its omnipresence in the literature, the hysteresis observed in the transfer characteristics of emerging transistors based on 2D-materials is widely accepted as an important metric related to the device quality. The hysteresis is often reported with attributes like "negligible" or "small" without giving any specifics as to how this was determined and against what reference the measured values were compared to. Quite surprisingly, there appears to be only a fragmentary understanding of…