Tootfinder

A new study of 14 open-source LLMs: larger models use exponentially more energy and produce more greenhouse gas emissions, but do not always give better answers (Sachi Kitajima Mulkey/New York Times)
https://www.nytim…

Your A.I. Queries Come With a Climate Cost
When it comes to artificial intelligence, more intensive computing uses more energy, producing more greenhouse gases.

You may've seen @… 's post about mails he gets about CRA compliance from large companies asking him to answer all kinds of questions. I just saw a similar one to the maintainer of another important FOSS library. The kicker: The company uses a version from 2000. (Yes, no typo, 25 years old. I think it has some unfixed vulnerabilities.)

Data-Driven Einstein-Dilaton Model for Pure Yang-Mills Thermodynamics and Glueball Spectrum
Xun Chen, Yidian Chen, Kai Zhou
https://arxiv.org/abs/2507.06729

Data-Driven Einstein-Dilaton Model for Pure Yang-Mills Thermodynamics and Glueball Spectrum
We develop a machine learning assisted holographic model that consistently describes both the equation of state and glueball spectrum of pure Yang-Mills theory, achieved through neural network reconstruction of Einstein-dilaton gravity. Our framework incorporates key non-perturbative constraints of lattice QCD data: the ground ($0^{++}$) and first-excited ($0^{++*}$) scalar glueball masses pins down the infrared (IR) geometry, while entropy density data anchors the ultraviolet (UV) behavior of …

stark och gullig halacha yomis (dagligt mail om judisk lag) idag https://oukosher.org/halacha-yomis/my-father-as…

Generalizing Verifiable Instruction Following
Valentina Pyatkin, Saumya Malik, Victoria Graf, Hamish Ivison, Shengyi Huang, Pradeep Dasigi, Nathan Lambert, Hannaneh Hajishirzi
https://arxiv.org/abs/2507.02833

Generalizing Verifiable Instruction Following
A crucial factor for successful human and AI interaction is the ability of language models or chatbots to follow human instructions precisely. A common feature of instructions are output constraints like ``only answer with yes or no" or ``mention the word `abrakadabra' at least 3 times" that the user adds to craft a more useful answer. Even today's strongest models struggle with fulfilling such constraints. We find that most models strongly overfit on a small set of verifiable constraints from …

Rational lemniscates and the matching problem
Kirill Lazebnik, Pierre-Olivier Paris\'e, Malik Younsi
https://arxiv.org/abs/2507.03547 https://

Rational lemniscates and the matching problem
The matching problem for a given Jordan curve in the complex plane asks to find two nonconstant functions, one analytic in the bounded complementary component of the curve and the other analytic in the unbounded complementary component of the curve, which are continuous up to the curve and complex conjugate to each other on the curve. We prove that there exist Jordan curves of any Hausdorff dimension between $1$ and $2$ for which the matching problem has a solution. This answers a question of E…

Comprehensive Variability Analysis of Blazars Using Fermi Light Curves Across Multiple Timescales
Zahir Shah, Athar A. Dar, Sikandar Akbar, Anjum Peer, Zahoor Malik, Aaqib Manzoor, Sajad Ahanger, Javaid Tantry, Zeeshan Nazir, Debanjan Bose, Mushtaq Magray
https://arxiv.org/abs/2505.23645…

Comprehensive Variability Analysis of Blazars Using Fermi Light Curves Across Multiple Timescales
In this study, we conducted a systematic analysis of long-term Fermi-LAT γ-ray data for a sample of blazars, including FSRQs, BL\,Lacs, and BCUs, to investigate their $γ$-ray variability. We focused on light curves binned in 3-, 7-, and 30-day intervals to assess the impact of binning, using data with TS >4 as a detection threshold. We calculated fractional variability ($F_{\rm var}$) for each category and found that FSRQs exhibit higher mean variability compared to BL\,Lacs and BCUs, with BC…

Statistical Insights into Flux and Photon Index Distributions of VHE FSRQs from Fermi-LAT Observations
Zahoor Malik, Sikandar Akbar, Zahir Shah, Ranjeev Misra, Athar A. Dar, Aaqib Manzoor, Sajad Ahanger, Zeeshan Nazir, Naseer Iqbal, Seemin Rubab, Javaid Tantry
https://arxiv.org/abs/2505.23338

Statistical Insights into Flux and Photon Index Distributions of VHE FSRQs from Fermi-LAT Observations
This study examines the flux and photon index distributions of 11 Very High Energy (VHE) Flat Spectrum Radio Quasars (FSRQs) using over 16 years of Fermi-LAT $γ$-ray data. The distributions reveal double lognormal profiles in both flux and index, primarily in the 3-day and 7-day binnings, supporting the ``two-flux-state hypothesis" for blazars. These profiles, which become insignificant at 30-day binning, suggest that shorter timescales are better at capturing distinct states, while longer tim…