Tootfinder

And when I'm talking about understanding the drives to violence, I did write about something similar recently.
https://write.as/hexmhell/algorithmic-violence
The drives behind this and the shooting last week are pretty radically different, but there's some overlap. People like Kirk are part a huge political machine slowly crushing people all over the world. There's a hopeless rage that would naturally drive even the most calm person to the edge of violence. You can't look at the world honestly and be OK. We want to do something. We want to react. But everything we do is silenced or must rmain silent. So it's easy to understand why someone might choose violence. Very different situation, but everyone is subject to the same national and international influences.
I don't promote violence, not because I disagree with it but because I think it's expensive. It takes time to plan, especially for those trying to get away. Guns are not cheap, nor are bullets, nor is the range time you need to get somewhat good under pressure. It's not cheap for the person doing it, and it's not cheap for the community that has to clean up. The community will face police repression (which, if we're honest, was gonna come anyway). The community will have to post bail, will lose a person for a while, will need to support the family, will go to hearings, will write reports, will do interviews.
Sun Tzu said that deploying one soldier to the front takes 7 in the field. Logistics are a huge invisible cost. Some of that time and energy could be reused. It's never bad to be armed and able to defend if needed. But a lot of that energy and time would be better spent planning a community pantry, a tool library, organizing a union, etc. We are living in a disaster, and we need to invest in thriving through the next crumble.
Kirk is replacable. They're almost all replacable, because they don't really care about human life. We do, so none of us are. It's not really a worth while trade, IMHO.

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
Claudia dAmato, Giuseppe Rubini, Francesco Didio, Donato Francioso, Fatima Zahra Amara, Nicola Fanizzi
https://arxiv.org/abs/2508.06368

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
Legal decision-making process requires the availability of comprehensive and detailed legislative background knowledge and up-to-date information on legal cases and related sentences/decisions. Legal Knowledge Graphs (KGs) would be a valuable tool to facilitate access to legal information, to be queried and exploited for the purpose, and to enable advanced reasoning and machine learning applications. Indeed, legal KGs may act as knowledge intensive component to be used by pre-dictive machine le…

Filmmaker and artist Cauleen Smith on valuing community over status – #creativity and #community …

Filmmaker and artist Cauleen Smith on valuing community over status – The Creative Independent
Filmmaker and artist Cauleen Smith discusses the gift of failure, making small moves, and the enduring wisdom of Sun Ra.

En la misma línea de lo que comentaba ayer sobre la campaña de Kast basada en instalar mentiras, Cristišn Valenzuela, uno de los principales asesores del republicano, publica una columna con el titular «Se quieren robar la elección».
https://wallabag.altgr.xyz/share/68c1b3ac2cbfc6.0…

Unusual Valence of Ru and Prediction of Magnetism, Anomalous Hall Conductivity in a Newly Synthesized Double Perovskite Compound Ca_2CoRuO_6
Koushik Pradhan, Soumya Ghorai, Prabuddha Sanyal, Ryan Morrow, Bernd B\"uchner, Thirupathaiah Setti, Tanusri Saha Dasgupta
https://arxiv.org/abs/2506.09423

Unusual Valence of Ru and Prediction of Magnetism, Anomalous Hall Conductivity in a Newly Synthesized Double Perovskite Compound Ca_2CoRuO_6
With a goal to expand on the family of double perovskite compounds, hosting 3d transition metal and 4d or 5d transition metal, two new ordered double perovskite compounds, Ca$_2$FeRuO$_6$ and Ca$_2$CoRuO$_6$ are synthesized following the prediction of a recent high throughput machine-learning study [Phys. Rev. Materials 3, 084418]. Experimentally both compounds are found to stabilize in monoclinic symmetry, which is consistent with the high-throughput prediction for Ca$_2$FeRuO$_6$, but at odd …

ArchiveGPT: A human-centered evaluation of using a vision language model for image cataloguing
Line Abele, Gerrit Anders, Tolgahan Ayd{\i}n, J\"urgen Buder, Helen Fischer, Dominik Kimmel, Markus Huff
https://arxiv.org/abs/2507.07551

ArchiveGPT: A human-centered evaluation of using a vision language model for image cataloguing
The accelerating growth of photographic collections has outpaced manual cataloguing, motivating the use of vision language models (VLMs) to automate metadata generation. This study examines whether Al-generated catalogue descriptions can approximate human-written quality and how generative Al might integrate into cataloguing workflows in archival and museum collections. A VLM (InternVL2) generated catalogue descriptions for photographic prints on labelled cardboard mounts with archaeological co…

Agents of Discovery
Sascha Diefenbacher, Anna Hallin, Gregor Kasieczka, Michael Kr\"amer, Anne Lauscher, Tim Lukas
https://arxiv.org/abs/2509.08535 https://

Agents of Discovery
The substantial data volumes encountered in modern particle physics and other domains of fundamental physics research allow (and require) the use of increasingly complex data analysis tools and workflows. While the use of machine learning (ML) tools for data analysis has recently proliferated, these tools are typically special-purpose algorithms that rely, for example, on encoded physics knowledge to reach optimal performance. In this work, we investigate a new and orthogonal direction: Using r…

Machine Learning based Enterprise Financial Audit Framework and High Risk Identification
Tingyu Yuan, Xi Zhang, Xuanjing Chen
https://arxiv.org/abs/2507.06266 https://

Machine Learning based Enterprise Financial Audit Framework and High Risk Identification
In the face of global economic uncertainty, financial auditing has become essential for regulatory compliance and risk mitigation. Traditional manual auditing methods are increasingly limited by large data volumes, complex business structures, and evolving fraud tactics. This study proposes an AI-driven framework for enterprise financial audits and high-risk identification, leveraging machine learning to improve efficiency and accuracy. Using a dataset from the Big Four accounting firms (EY, Pw…

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…