Tootfinder

😮‍💨 Carbon credits have little to no effect on making companies greener, study reveals
#climatechange

Carbon credits have little to no effect on making companies greener, study reveals
Many companies across the world use carbon credits as part of their climate strategies to offset emissions. A carbon credit is a certificate that represents the reduction, avoidance or removal of one ton of carbon dioxide from the atmosphere. While organizations claim these credits help them reduce their environmental impact, there is debate about whether companies that buy credits decarbonize faster. However, an in-depth study of 89 multinationals, published in Nature Communications, reveals t…

Interesting and worrying article by Marcus and Hamiel going over recent work exploring the very serious security weaknesses of agentic AI:
https://garymarcus.substack.com/p/llms-coding-agents-security-nightmare

This week, I received an interesting task: dusting off a legacy #Java application. The application analyzes specific #XML files in proprietary format. I know XML doesn’t sound sexy to junior developers, but it has an amazing benefit. One can validate a file against a grammar. Such grammar is called an

A First Context-Free Grammar Applied to Nawatl Corpora Augmentation
Juan-Jos\'e Guzm\'an-Landa, Juan-Manuel Torres-Moreno, Miguel Figueroa-Saavedra, Ligia Quintana-Torres, Martha-Lorena Avenda\~no-Garrido, Graham Ranger
https://arxiv.org/abs/2510.04945

A First Context-Free Grammar Applied to Nawatl Corpora Augmentation
In this article we introduce a context-free grammar (CFG) for the Nawatl language. Nawatl (or Nahuatl) is an Amerindian language of the $π$-language type, i.e. a language with few digital resources, in which the corpora available for machine learning are virtually non-existent. The objective here is to generate a significant number of grammatically correct artificial sentences, in order to increase the corpora available for language model training. We want to show that a grammar enables us sig…

Spionage via Online-Graumarkt: EU-Mitarbeiter durch Handy-Standortdaten entblößt
„Anonymisierte“ Geodaten hochrangiger EU-Offizieller sind online zu erwerben. Die Kommission verschärft die Richtlinien für Mitarbeiter, Verbote sollen kommen.

Grenier de l’Inde et du Pakistan, le Pendjab subit la mousson la plus dévastatrice depuis près de quarante ans
https://www.lemonde.fr/planete/article/2025/09/06/gr…

Grenier de l’Inde et du Pakistan, le Pendjab subit la mousson la plus dévastatrice depuis près de quarante ans
Au Pakistan, les inondations ont contraint au déplacement de 3,8 millions de personnes, 4 000 villages sont sous les eaux et 43 personnes ont péri. L’Inde, elle, compte déjà une quarantaine de morts et 350 000 personnes affectées. Avec 74 % de précipitations en plus de la moyenne normale, plus de 150 000 hectares agricoles ont été ravagés.

When you're looking for the next shiny thing, on that always greener grass on the other side.
And you open your river wm on FreeBSD. And all is there, working and tweaked as you could possibly want.
Hold your horses, stick to what you have 🥳
#freebsd #riverwm

🇺🇦 Auf radioeins läuft...
The Liminianas feat. Laurent Garnier:
🎵 Saul
#NowPlaying #TheLiminianas #LaurentGarnier
https://theliminanas.bandcamp.com/track/saul-1

Grammarly rebrands as Superhuman after its acquisitions of Superhuman Mail in June and Coda in December 2024; the standalone writing tool Grammarly still exists (Stevie Bonifield/The Verge)
https://www.theverge.com/news/808472/grammarly-superhuman-ai-rebrand-rel…

Grammarly is changing its name to Superhuman
Grammarly is rebranding to become Superhuman, an AI agent-powered work platform that combines its writing tool with Coda and Superhuman Mail.

Overview of the Plagiarism Detection Task at PAN 2025
Andr\'e Greiner-Petter, Maik Fr\"obe, Jan Philip Wahle, Terry Ruas, Bela Gipp, Akiko Aizawa, Martin Potthast
https://arxiv.org/abs/2510.06805

Overview of the Plagiarism Detection Task at PAN 2025
The generative plagiarism detection task at PAN 2025 aims at identifying automatically generated textual plagiarism in scientific articles and aligning them with their respective sources. We created a novel large-scale dataset of automatically generated plagiarism using three large language models: Llama, DeepSeek-R1, and Mistral. In this task overview paper, we outline the creation of this dataset, summarize and compare the results of all participants and four baselines, and evaluate the resul…