Tootfinder

Climate change and shrinking Arctic sea ice threaten bowhead whales https://news.mongabay.com/short-article/2025/06/climate-change-and-shrinking-arctic-sea-ice-threaten-bowhead-whales/

Climate change and shrinking Arctic sea ice threaten bowhead whales
Bowhead whales are endemic to the icy waters of the Arctic and prefer living in shallow waters near sea ice, filtering krill and tiny crustaceans called copepods for food. However, the Arctic is warming faster than any other region on Earth, and a recent study estimates that if this continues, then by 2100 the whales […]

Combined Public Service Announcement and Today I Learned: if you have `CLICOLOR=1` on macOS, if you do an `ls` of a directory which is inside iCloud Drive, evicted files (i.e., those that cannot be immediately used, but need to be downloaded first from iCloud) show with a grey background… see below:
First, both files are in iCloud, but not locally available. They have a dotted cloud icons in the iCloud Status field of the Finder window, and a greyed background in the output of the `ls` …

I Wanted To Tell You
https://sharoncummings.wordpress.com/2025/08/02/i-wanted-to-tell-you/#like-18001

I Wanted To Tell You
This piece reflects the hidden aspect of domestic violence against women. It is a mixed media piece by artist Sharon Cummings. A haunting vision that should keep us all on alert to our family, frie…

Etwas mehr der heute besonders häufig geteilten #News:
Forschung ohne Schranken: Mecklenburg-Vorpommern stellt Open-Access-Konzept vor

"In the end, little was done. When catastrophic floodwaters surged through Kerr County last week, there were no sirens or early flooding monitors. Instead, there were text alerts that came late for some residents and were dismissed or unseen by others."
Officials Feared Flood Risk to Youth Camps but Rejected Warning System - The New York Times
https://www.nytimes.com/2025/07/06/us/texas-flood-warnings-sirens.html

Google says it's working on a fix for Gemini's self-loathing comments, which have included "I am a failure. I am a disgrace to my profession." (Lauren Edmonds/Business Insider)
https://www.businessinsider.com/gemini-self-loathi…

Gemini users say its sharing self-loathing comments: 'I am a failure'
Google Gemini users said the bot is sharing self-loathing messages while attempting to solve tasks, including "I am a disgrace to this universe."

Meanwhile in Dwarf Fortress, construction of the temple to Bisek Cavernmoth, god of darkness and the night, has hit a stumbling block when my stonemason took it upon himself to decorate it with a statue of a slug.
Even more disturbingly, this appears to be a therapeutic endeavour for young Vutok.
#DwarfFortress

scikit-package -- software packaging standards and roadmap for sharing reproducible scientific software
S. Lee, C. Myers, A. Yang, T. Zhang, S. J. L. Billinge
https://arxiv.org/abs/2507.03328

scikit-package -- software packaging standards and roadmap for sharing reproducible scientific software
Scientific advancement relies on the ability to share and reproduce results. When data analysis or calculations are carried out using software written by scientists there are special challenges around code versions, quality and code sharing. scikit-package provides a roadmap to facilitate code reuse and sharing with minimal effort through tutorials coupled with automated and centralized reusable workflows. The goal of the project is to provide pedagogical and practical tools for scientists who …

VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity Classification.
This paper presents VLAI, a transformer-based model that predicts software vulnerability severity levels directly from text descriptions. Built on RoBERTa, VLAI is fine-tuned on over 600,000 real-world vulnerabilities and achieves over 82% accuracy in predicting severity categories, enabling faster and more consistent triage ahead of manual CVSS scoring. The model and dataset are open-source and integrated…

VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity Classification
This paper presents VLAI, a transformer-based model that predicts software vulnerability severity levels directly from text descriptions. Built on RoBERTa, VLAI is fine-tuned on over 600,000 real-world vulnerabilities and achieves over 82% accuracy in predicting severity categories, enabling faster and more consistent triage ahead of manual CVSS scoring. The model and dataset are open-source and integrated into the Vulnerability-Lookup service.

An #infosec drama, in two screenshots.