Tootfinder

Sammelklage: RAM-Taktfrequenzen sind irreführend
In den USA soll sich Corsair nach drei Jahren Rechtsstreit auf einen Vergleich einigen. Verbraucher klagten, dass die Angaben der Taktfrequenz irreführend sei.
https://www.

We are starting to prepare Xogot for iPhone, and while the basics work, we would love for interested folks to try it out and give us feedback.
If you want to take this for a spin, sign up here:
https://beta.xogot.com

Signup for TestFlight
Over the next few weeks, we will begin inviting people to TestFlight to try early builds of Godot for iPad. Use this form to be considered for inclusion during the private beta period. Please provide the email address associated with your Apple / TestFlight account.

House Judiciary Dems call for DOJ leaders to testify on Epstein fallout (Hailey Fuchs/Politico)
https://www.politico.com/live-updates/2025/07/15/congress/house-judiciary-democrats-justice-department-testify-jeffrey-epstein-trump-00454465
http://www.memeorandum.com/250715/p110#a250715p110

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
Wenqiang Wang, Yan Xiao, Hao Lin, Yangshijie Zhang, Xiaochun Cao
https://arxiv.org/abs/2508.10039 ht…

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
Current multi-task adversarial text attacks rely on abundant access to shared internal features and numerous queries, often limited to a single task type. As a result, these attacks are less effective against practical scenarios involving black-box feedback APIs, limited queries, or multiple task types. To bridge this gap, we propose \textbf{C}luster and \textbf{E}nsemble \textbf{M}ulti-task Text Adversarial \textbf{A}ttack (\textbf{CEMA}), an effective black-box attack that exploits the transf…

Pretty unique, non-clichéd, slow, minimal, dubby, syncopated, accented with vocal/vowel fragments:
Drames Rurals - L'empelt (2021)
https://www.youtube.com/watch?v=T3SSti6bdZM

Dignan analysiert: Apples KI-Rückstand ist so gravierend wie Microsofts „Mobile-Fail“. Perplexity als Allheilmittel? Kaum. Aber Tim Cook braucht dringend eine Story für den Kapitalmarkt—zur Not für 20 Mrd. Dollar. #TechDebatte #Apple

Why Apple should buy Perplexity and possibly keep going
Apple needs to jump start its AI strategy and the only way it's going to get there is through acquisitions. Here's why a purchase of Perplexity makes sense and why Apple may want to keep shopping. Bloomberg reported last month that Apple was discussing a purchase of the AI search startup. Let's look at why an Apple purchase of Perplexity, reportedly valued at about $14 billion or so, would make sense. Apple needs an AI strategy and story. Let's state the obvious: Apple is an AI laggard. Apple's…

Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
Seongho Joo, Hyukhun Koh, Kyomin Jung
https://arxiv.org/abs/2509.10931 https://

Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse tasks, but their potential misuse for harmful purposes remains a significant concern. To strengthen defenses against such vulnerabilities, it is essential to investigate universal jailbreak attacks that exploit intrinsic weaknesses in the architecture and learning paradigms of LLMs. In response, we propose \textbf{H}armful \textbf{P}rompt \textbf{La}undering (HaPLa), a novel and broadly applicable jailbreaking…

heise | KI-Bilder generieren: Warum kurze Textbausteine besser sind als Mega-Prompts
Sie wollen konsistente KI-Bilder statt Zufall? Mit der Snippet-Methode bauen sie ein System wiederverwendbarer Bausteine, mit denen sie zielsicher prompten.

Towards Scalable Training for Handwritten Mathematical Expression Recognition
Haoyang Li, Jiaqing Li, Jialun Cao, Zongyuan Yang, Yongping Xiong
https://arxiv.org/abs/2508.09220 …

Towards Scalable Training for Handwritten Mathematical Expression Recognition
Large foundation models have achieved significant performance gains through scalable training on massive datasets. However, the field of \textbf{H}andwritten \textbf{M}athematical \textbf{E}xpression \textbf{R}ecognition (HMER) has been impeded by the scarcity of data, primarily due to the arduous and costly process of manual annotation. To bridge this gap, we propose a novel method integrating limited handwritten formulas with large-scale LaTeX-rendered formulas by developing a scalable data e…

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao
https://arxiv.org/abs/2508.10684 h…

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
We study the problem of learning a neural sampler to generate samples from discrete state spaces where the target probability mass function $π\propto\mathrm{e}^{-U}$ is known up to a normalizing constant, which is an important task in fields such as statistical physics, machine learning, combinatorial optimization, etc. To better address this challenging task when the state space has a large cardinality and the distribution is multi-modal, we propose $\textbf{M}$asked $\textbf{D}$iffusion $\te…