Tootfinder

It is not AI that is driving tech layoffs. It’s the massive change in R&D writeoff rules that kicked in for TY2022, from the 2017 Trump tax bill.
The ability to “expense” R&D costs was in place for decades and arguably drove US innovation by making it cheap. Now R&D is amortized over 5 years for US work, 15 years for non-US work. The current reconciliation bill would bring back expensing of domestic R&D costs.

Ten simple rules for PIs to integrate Research Software Engineering into their research group
Stuart M. Allen, Neil Chue Hong, Stephan Druskat, Toby Hodges, Daniel S. Katz, Jan Linxweiler, Frank L\"offler, Lars Grunske, Heidi Seibold, Jan Philipp Thiele, Samantha Wittke
https://arxiv.org/abs/2506.20217

Ten simple rules for PIs to integrate Research Software Engineering into their research group
Research Software Engineering (RSEng) is a key success factor in producing high-quality research software, which in turn enables and improves research outcomes. However, as a principal investigator or leader of a research group you may not know what RSEng is, where to get started with it, or how to use it to maximize its benefit for your research. RSEng also often comes with technical complexity, and therefore reduced accessibility to some researchers. The ten simple rules presented in this pap…

US senators reintroduce the bipartisan Open App Markets Act to challenge Apple's and Google's grip on app stores; the 2021 version never made it to a floor vote (Amber Neely/AppleInsider)
https://appleinsider.com/articles/25/0

Bipartisan Open App Markets Act revived to challenge Apple's App Store control
Big Tech's grip on the app economy is under fire again as lawmakers reintroduce the bipartisan "Open App Markets Act" aimed at breaking Apple and Google's app store dominance.

@… Si jamais (pas en france ni en français) Blender foundation recherchent un•e UX designer
https://mastodon.social/@Blender/11458071…

This https://arxiv.org/abs/2311.07459 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On homogeneous plane waves
Plane waves are a special class of Lorentzian spaces with a parallel null vector field. They are of great importance in Geometry (e.g. Lorentzian holonomy) and in Physics (General Relativity as well as alternative gravity theories). Our contribution in the present paper aims at a rigorous mathematical treatment focusing on completeness of Killing fields, and globality of coordinates. Equivalence of different approaches to plane waves is by no means easy to handle. We use here cohomogeneity one …

Hatevolution: What Static Benchmarks Don't Tell Us
Chiara Di Bonaventura, Barbara McGillivray, Yulan He, Albert Mero\~no-Pe\~nuela
https://arxiv.org/abs/2506.12148

Hatevolution: What Static Benchmarks Don't Tell Us
Language changes over time, including in the hate speech domain, which evolves quickly following social dynamics and cultural shifts. While NLP research has investigated the impact of language evolution on model training and has proposed several solutions for it, its impact on model benchmarking remains under-explored. Yet, hate speech benchmarks play a crucial role to ensure model safety. In this paper, we empirically evaluate the robustness of 20 language models across two evolving hate speec…

Requirements for Active Assistance of Natural Questions in Software Architecture
Diogo Lemos, Ademar Aguiar, Neil B. Harrison
https://arxiv.org/abs/2506.23898

Requirements for Active Assistance of Natural Questions in Software Architecture
Natural questions are crucial to shaping key architectural decisions and preserving architectural knowledge. They arise organically during the architectural design process, often resulting from the existing architectural experience of the designer and the distinctive characteristics of the system being designed. However, natural questions are often mismanaged or ignored, which can lead to architectural drift, knowledge loss, inefficient resource use, or poor understandability of the system's ar…

Change point detection in ERA5 ground temperature time series
Fatemeh Aghaei A., Ewan T. Phillips, Holger Kantz
https://arxiv.org/abs/2507.15045 https://…

Change point detection in ERA5 ground temperature time series
We analyze the ERA5 reanalysis 2-meter temperature time series on all land grid points using change point analysis. We fit two linear slopes to the data with the constraint that they merge at the point in time where the slope changes. We compare such fits to a standard linear regression in two ways: We use Akaike's and the Bayesian information criteria for model selection, and we test against the null hypothesis of no change of the trend value. For those grid points where the …