Tootfinder

🇺🇦 #NowPlaying on KEXP's #ElSonido
HERMAFRODITA:
🎵 Eclipse
#HERMAFRODITA
https://hermafrodita.bandcamp.com/track/ignis-primer-contacto
https://open.spotify.com/track/11GoNdW03EYXzGkCN0Ofzs

OpenAI raised concerns about anti-competitive conduct by "entrenched companies" in a September EU meeting; source: OpenAI targeted Google, Microsoft, and Apple (Samuel Stolton/Bloomberg)
https://www.bloomberg.com/news/articles/20

OpenAI Warns EU Antitrust Watchdogs of Big Tech’s Data Dominance
OpenAI has raised concerns with European Union antitrust enforcers over potentially harmful conduct by the likes of Alphabet Inc.’s Google, Microsoft Corp. and Apple Inc.

Safe and Efficient In-Context Learning via Risk Control
Andrea Wynn, Metod Jazbec, Charith Peris, Rinat Khaziev, Anqi Liu, Daniel Khashabi, Eric Nalisnick
https://arxiv.org/abs/2510.02480

Safe and Efficient In-Context Learning via Risk Control
Large language models (LLMs) demonstrate a remarkable ability to learn new tasks from a few in-context examples. However, this flexibility introduces safety concerns: LLMs can be influenced by incorrect or malicious demonstrations -- for example, if an adversary tampers with or injects harmful examples without a human supervisor noticing. This motivates principled designs in which the system itself includes built-in mechanisms to guard against such attacks. We propose a novel approach to limit …

Principles of Safe AI Companions for Youth: Parent and Expert Perspectives
Yaman Yu, Mohi, Aishi Debroy, Xin Cao, Karen Rudolph, Yang Wang
https://arxiv.org/abs/2510.11185 http…

Principles of Safe AI Companions for Youth: Parent and Expert Perspectives
AI companions are increasingly popular among teenagers, yet current platforms lack safeguards to address developmental risks and harmful normalization. Despite growing concerns, little is known about how parents and developmental psychology experts assess these interactions or what protections they consider necessary. We conducted 26 semi structured interviews with parents and experts, who reviewed real world youth GenAI companion conversation snippets. We found that stakeholders assessed risks…

Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
Mikhail Terekhov, Alexander Panfilov, Daniil Dzenhaliou, Caglar Gulcehre, Maksym Andriushchenko, Ameya Prabhu, Jonas Geiping
https://arxiv.org/abs/2510.09462

Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
AI control protocols serve as a defense mechanism to stop untrusted LLM agents from causing harm in autonomous settings. Prior work treats this as a security problem, stress testing with exploits that use the deployment context to subtly complete harmful side tasks, such as backdoor insertion. In practice, most AI control protocols are fundamentally based on LLM monitors, which can become a central point of failure. We study adaptive attacks by an untrusted model that knows the protocol and the…

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Punya Syon Pandey, Hai Son Le, Devansh Bhardwaj, Rada Mihalcea, Zhijing Jin
https://arxiv.org/abs/2510.04891

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Large language models (LLMs) are increasingly deployed in contexts where their failures can have direct sociopolitical consequences. Yet, existing safety benchmarks rarely test vulnerabilities in domains such as political manipulation, propaganda and disinformation generation, or surveillance and information control. We introduce SocialHarmBench, a dataset of 585 prompts spanning 7 sociopolitical categories and 34 countries, designed to surface where LLMs most acutely fail in politically charge…

SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models
Peigui Qi, Kunsheng Tang, Wenbo Zhou, Weiming Zhang, Nenghai Yu, Tianwei Zhang, Qing Guo, Jie Zhang
https://arxiv.org/abs/2510.05173

SafeGuider: Robust and Practical Content Safety Control for Text-to-Image Models
Text-to-image models have shown remarkable capabilities in generating high-quality images from natural language descriptions. However, these models are highly vulnerable to adversarial prompts, which can bypass safety measures and produce harmful content. Despite various defensive strategies, achieving robustness against attacks while maintaining practical utility in real-world applications remains a significant challenge. To address this issue, we first conduct an empirical study of the text e…

Deep learning framework for predicting stochastic take-off and die-out of early spreading
Wenchao He, Tao Jia
https://arxiv.org/abs/2510.04574 https://arxi…

Deep learning framework for predicting stochastic take-off and die-out of early spreading
Large-scale outbreaks of epidemics, misinformation, or other harmful contagions pose significant threats to human society, yet the fundamental question of whether an emerging outbreak will escalate into a major epidemic or naturally die out remains largely unaddressed. This problem is challenging, partially due to inadequate data during the early stages of outbreaks and also because established models focus on average behaviors of large epidemics rather than the stochastic nature of small trans…

There were actually a lot of good recommendations from that Committee report, the one on PR was just the final one! Here's a few more.. including some that local #Fediverse proponents could dig into! @… was on the Committee.
—>FEDI ADVANTAGE<— “The Committee heard about a number of issues related to
the electoral information environment. Members recommend
that the provincial government collaborate with Elections
BC and the federal government to review existing legislative
and regulatory measures related to misinformation,
disinformation, and hate speech during elections, including
**mechanisms to ensure the timely removal of harmful content** (**emphasis added)”
—> FEDI ADVANTAGE<— “To better address challenges associated with social media and emergent technologies such as artificial intelligence, Members recommend establishing a working group to propose amendments to BC’s privacy and election legislation. To better protect all users, the Committee recommends requiring digital platforms to act with a duty of care and establish clear safety-related requirements such as data privacy, platform design, and content policy. The Committee also heard about concerns regarding foreign interference, and recommends that these be considered by the Electoral Integrity Working Group.”
—The Committee heard about the critical importance of
civic education to ensure the public’s understanding of
democratic institutions, processes, and participation. The
Committee recommends strengthening civic education
in the K-12 school system with input from experts and a
greater emphasis on applied learning.
— the Committee suggests enhancing data collection by requiring proactive enumeration on an annual basis and ensuring that registered parties and candidates can access poll-by-poll results. Elections BC should review and improve
voter registration practices and communication, as well as
access to and public awareness of voting opportunities. With respect to expanding voter eligibility, the Committee supports further examination of extending voting rights to 16- and 17-year-olds as well as permanent residents in BC.
— Committee Members recommend modernizing the candidate nominator verification process, requiring Elections BC to collect and share voters’ contact information with registered political parties and candidates, and strengthening measures related to access to multi-unit buildings for candidates and their campaigns.
Full report to the Legislature: #BCPoli #CanPoli #CdnPoli #ElectoralReform #Democracy #ProportionalRepresentation #Polarization