Tootfinder

NATO's daddy in action.
ICE arrested a 6-year-old boy with leukemia at immigration court. His family is suing.
https://www.tpr.org/border-immigration/2025-06-25/ice-arrested-a-6-year-o…

ICE arrested a 6-year-old boy with leukemia at immigration court. His family is suing.
A Honduran mother and her two children — ages 6 and 9 — sued the Trump administration over their arrest at Los Angeles Immigration Court, the first lawsuit challenging the arrests of children under a new ICE directive targeting courthouses.

Defense Secretary Pete Hegseth Threatens Mobilization of Active-Duty Marines Against Protesters in Los Angeles

Such language is unprecedented in response to immigration protests.
The escalation comes just three days after the anniversary of the 1989 Tiananmen Square massacre,
when Chinese troops crushed a pro-democracy movement with tanks and live ammunition
—a grim reminder of what can happen when a government turns its military on its own people.

This https://arxiv.org/abs/2412.16772 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
The ongoing revolution in language modeling has led to various novel applications, some of which rely on the emerging social abilities of large language models (LLMs). Already, many turn to the new cyber friends for advice during the pivotal moments of their lives and trust them with the deepest secrets, implying that accurate shaping of the LLM's personality is paramount. To this end, state-of-the-art approaches exploit a vast variety of training data, and prompt the model to adopt a particula…

This https://arxiv.org/abs/2505.23847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain collaboration shatters the unified trust assumptions behind current alignment and containment techniques. An agent benign in isolation may, when receiving messages from an untrusted peer, leak secrets or viola…

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Ronny Ko, Jiseong Jeong, Shuyuan Zheng, Chuan Xiao, Taewan Kim, Makoto Onizuka, Wonyong Shin
https://arxiv.org/abs/2505.23847

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems
Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain collaboration shatters the unified trust assumptions behind current alignment and containment techniques. An agent benign in isolation may, when receiving messages from an untrusted peer, leak secrets or viola…