Tootfinder

Terrible wildfires in several regions of Spain.
La ola de incendios, en directo: la evolución del fuego, comunidad por comunidad https://www.eldiario.es/sociedad/ola-incendios-directo-evolucion-fuego-comunidad-comunidad_1_12539174.ht…

La ola de incendios, en directo: la evolución del fuego, comunidad por comunidad
Desalojos, avisos a móviles y clima adverso marcan las últimas jornadas de ola de incendios que asola el país Pedro Sánchez visitará esta mañana Ourense y León, grandes afectadas por las llamas

The first step on the road to #TNC26 starts today… with the opening of the Call for Proposals!
Next year, our community will gather in Helsinki 🇫🇮 under the theme Digital Sisu—inspired by the Finnish word “sisu,” which embodies inner strength, tenacity, and determination in the face of adversity.
💡 If you have a story to share, or a vision that can shape the conversation—we want to hear f…

Breaking the Cycle of Incarceration With Targeted Mental Health Outreach: A Case Study in Machine Learning for Public Policy
Kit T. Rodolfa, Erika Salomon, Jin Yao, Steve Yoder, Robert Sullivan, Kevin McGuire, Allie Dickinson, Rob MacDougall, Brian Seidler, Christina Sung, Claire Herdeman, Rayid Ghani
https://arxiv.org/abs/2509.14129

Breaking the Cycle of Incarceration With Targeted Mental Health Outreach: A Case Study in Machine Learning for Public Policy
Many incarcerated individuals face significant and complex challenges, including mental illness, substance dependence, and homelessness, yet jails and prisons are often poorly equipped to address these needs. With little support from the existing criminal justice system, these needs can remain untreated and worsen, often leading to further offenses and a cycle of incarceration with adverse outcomes both for the individual and for public safety, with particularly large impacts on communities of …

So, there're a couple communities I want to be part of which force me to use Slack. What a puke-in-the-mouth experience. Constantly being advertised to by the system (which is holding the community's content hostage - it is a ransomware business model). Just got a message telling me to 'go pro' so I can use 'AI' to summarise what I've missed. Get into the sea, Slack, and sink to the bottom where you belong. And yes, there are many others who should join you and Da…

A hint from the orange TACO that the drug companies have not paid him enough in tribute?
https://science.slashdot.org/story/25/09/10/2053200/white-house-asks-fda-to-review-pharma-advertising-on-tv#comments

Living Off the LLM: How LLMs Will Change Adversary Tactics
Sean Oesch, Jack Hutchins, Luke Koch, Kevin Kurian
https://arxiv.org/abs/2510.11398 https://arxi…

Living Off the LLM: How LLMs Will Change Adversary Tactics
In living off the land attacks, malicious actors use legitimate tools and processes already present on a system to avoid detection. In this paper, we explore how the on-device LLMs of the future will become a security concern as threat actors integrate LLMs into their living off the land attack pipeline and ways the security community may mitigate this threat.

GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
Ruida Wang, Jiarui Yao, Rui Pan, Shizhe Diao, Tong Zhang
https://arxiv.org/abs/2510.11769 https://

GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
Solving math problems through verifiable languages such as Lean has significantly impacted both the mathematics and computer science communities. Current state-of-the-art models are often trained with expensive online Reinforcement Learning (RL) or expert iteration. However, these approaches rely on fixed problem sets, which causes inefficient training and limits the model to tackle complex problems. To overcome these limitations, we propose GAR: Generative Adversarial Reinforcement learning, a…

🪛 Tricking LLM-Based NPCs into Spilling Secrets
#llm #ai

Tricking LLM-Based NPCs into Spilling Secrets
Large Language Models (LLMs) are increasingly used to generate dynamic dialogue for game NPCs. However, their integration raises new security concerns. In this study, we examine whether adversarial prompt injection can cause LLM-based NPCs to reveal hidden background secrets that are meant to remain undisclosed.

On The Road - To Xi’An ⛑️
在路上 - 去西安 ⛑️
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
Richard A. Dubniczky, Bertalan Borsos, Tihanyi Norbert
https://arxiv.org/abs/2510.03761

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
The widespread use of preprint repositories such as arXiv has accelerated the communication of scientific results but also introduced overlooked security risks. Beyond PDFs, these platforms provide unrestricted access to original source materials, including LaTeX sources, auxiliary code, figures, and embedded comments. In the absence of sanitization, submissions may disclose sensitive information that adversaries can harvest using open-source intelligence. In this work, we present the first lar…