Tootfinder

"De plus en plus d'éléments tendent Š prouver que Meta tire activement profit de la fraude financière en autorisant délibérément la diffusion de publicités frauduleuses sur ses différentes plateformes, ce qui constitue une complicité effective avec la criminalité."
#Meta #IA

The EU's General Court sides with Meta and TikTok in their legal dispute with the EC over the DSA's 0.05% supervisory fee, saying the EU's methodology is flawed (Foo Yun Chee/Reuters)
https://www.reuters.com/sustai…

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang
https://arxiv.org/abs/2508.03054

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning
Defending large language models (LLMs) against jailbreak attacks is essential for their safe and reliable deployment. Existing defenses often rely on shallow pattern matching, which struggles to generalize to novel and unseen attack strategies. To address this challenge, we propose the Cognitive-Driven Defense (CDD) framework, which targets the underlying structure of jailbreak prompts by applying meta-operations, defined as basic manipulations that conceal harmful intent.CDD emulates human cog…

Jury ‘sends a message’ on app privacy in ruling against Meta https://therecord.media/jury-verdict-meta-flo-app-data-privacy-case

„Following their success in bringing Meta and Alphabet to heel for allegedly censoring right-leaning viewpoints, conservatives have been amping up their pressure campaign against Wikipedia.“
https://www.politico.com/newsletters/digit

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Soroosh Tayebi Arasteh, Mina Shaigan, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
https://arxiv.org/abs/2510.07191

Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Self-supervised learning (SSL) has advanced visual representation learning, but its value in chest radiography, a high-volume imaging modality with fine-grained findings, remains unclear. Meta's DINOv3 extends earlier SSL models through Gram-anchored self-distillation. Whether these design choices improve transfer learning for chest radiography has not been systematically tested. We benchmarked DINOv3 against DINOv2 and ImageNet initialization across seven datasets (n>814,000). Two representati…

Scale AI sues a former employee and Mercor, his current employer and one of Scale's key competitors, for allegedly stealing more than 100 confidential documents (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

Scale AI still exists and it’s suing an ex-employee over corporate espionage
Scale AI filed a lawsuit Wednesday against its former employee, Eugene Ling, and his current employer, Mercor, which is one of Scale’s key competitors.

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2
Abrar Faiyad, Ashlie Martini
https://arxiv.org/abs/2510.05339 https://

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2
We present the first computational framework for molecular dynamics simulation of MoS2 doped with 25 elements spanning metals, non-metals, and transition metals using Meta's Universal Model for Atoms machine learning interatomic potential (MLIP). Benchmarking against density functional theory calculations demonstrates the accuracy of the MLIP for simulating doped-MoS2 systems and highlights opportunities for improvement. Using the MLIP, we perform heating-cooling simulations of doped-MoS2 super…

Russia moves to restrict foreign messaging apps on Putin’s order: https://benborges.xyz/2025/07/20/russia-moves-to-restrict-foreign.html

Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
Yehonatan Pesiakhovsky, Zorik Gekhman, Yosi Mass, Liat Ein-Dor, Roi Reichart
https://arxiv.org/abs/2509.22582

Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
Context-grounded hallucinations are cases where model outputs contain information not verifiable against the source text. We study the applicability of LLMs for localizing such hallucinations, as a more practical alternative to existing complex evaluation pipelines. In the absence of established benchmarks for meta-evaluation of hallucinations localization, we construct one tailored to LLMs, involving a challenging human annotation of over 1,000 examples. We complement the benchmark with an LLM…

Source: Mark Zuckerberg lobbied President Trump against digital service taxes, which Trump then publicly criticized; Meta confirms they met privately last week (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-28/zuc…