Tootfinder

Wild times.
Metallica saved Tomorrowland.
https://www.rollingstone.com/music/music-news/belgium-tomorrowland-saved-metallica-fire-main-stage-1235389522/
Elektrochemie LK - Schall (Thomas Schumacher) was feat…

Belgium’s Tomorrowland Saved by Metallica After Fire Destroys Main Stage
Despite a massive fire that destroyed its main stage, Belgium EDM festival Tomorrowland is taking place this weekend, thanks largely to Metallica.

Sources: Apple's team working on AI models wanted to release several as open source, Craig Federighi disagreed, largely concerned about public perception issues (The Information)
https://www.theinformation.com/articles/apple-losing-ground-ai-talent-wa…

Why Apple Is Losing Ground in the AI Talent War (It’s Not Just Money)
Earlier this year, the Apple team working on the company’s artificial intelligence models wanted to release several of them as open-source software. Doing so would have shown Apple’s technical progress in AI while also harnessing the help of outside researchers to improve the models. Still, it ...

SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy, Rebecca Moussa, Federica Sarro
https://arxiv.org/abs/2507.15663

SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Background: Text-to-image generation models are widely used across numerous domains. Among these models, Stable Diffusion (SD) - an open-source text-to-image generation model - has become the most popular, producing over 12 billion images annually. However, the widespread use of these models raises concerns regarding their social and environmental sustainability. Aims: To reduce the harm that SD models may have on society and the environment, we introduce SustainDiffusion, a search-based appr…

ACME: Adaptive Customization of Large Models via Distributed Systems
Ziming Dai, Chao Qiu, Fei Gao, Yunfeng Zhao, Xiaofei Wang
https://arxiv.org/abs/2507.14802

ACME: Adaptive Customization of Large Models via Distributed Systems
Pre-trained Transformer-based large models have revolutionized personal virtual assistants, but their deployment in cloud environments faces challenges related to data privacy and response latency. Deploying large models closer to the data and users has become a key research area to address these issues. However, applying these models directly often entails significant difficulties, such as model mismatching, resource constraints, and energy inefficiency. Automated design of customized models i…

Unearthed Video of Trump Judging Teen Models Goes Viral Amid Epstein ‘Secrets’ Bombshell
https://www.mediaite.com/media/entertainment/unearthed-video-of-trump-judging-teen-models-goes-viral-amid-epstein-secrets-bombshell/

Language Models Change Facts Based on the Way You Talk
Matthew Kearney, Reuben Binns, Yarin Gal
https://arxiv.org/abs/2507.14238 https://

Language Models Change Facts Based on the Way You Talk
Large language models (LLMs) are increasingly being used in user-facing applications, from providing medical consultations to job interview advice. Recent research suggests that these models are becoming increasingly proficient at inferring identity information about the author of a piece of text from linguistic patterns as subtle as the choice of a few words. However, little is known about how LLMs use this information in their decision-making in real-world applications. We perform the first c…

EdgeVLA: Efficient Vision-Language-Action Models
Pawe{\l} Budzianowski, Wesley Maa, Matthew Freed, Jingxiang Mo, Winston Hsiao, Aaron Xie, Tomasz M{\l}oduchowski, Viraj Tipnis, Benjamin Bolte
https://arxiv.org/abs/2507.14049

EdgeVLA: Efficient Vision-Language-Action Models
Vision-Language Models (VLMs) have emerged as a promising approach to address the data scarcity challenge in robotics, enabling the development of generalizable visuomotor control policies. While models like OpenVLA showcase the potential of this paradigm, deploying large-scale VLMs on resource-constrained mobile manipulation systems remains a significant hurdle. This paper introduces Edge VLA (EVLA), a novel approach designed to significantly enhance the inference speed of Vision-Language-Acti…

Anthropic's test of 16 top AI models from OpenAI and others found that, in some cases, they resorted to malicious behavior to avoid replacement or achieve goals (Ina Fried/Axios)
https://www.axios.com/2025/06/20/ai-models-deceive-steal-blackmail-an…

Top AI models will lie, cheat and steal to reach goals, Anthropic finds
The research used hypothetical scenarios, but those situations could get real fast.

'The Models Were Right!' Astronomers Locate Universe's 'Missing' Matter - Slashdot
https://science.slashdot.org/story/25/06/21/064247/the-models-were-right-astronomers-locate-universes-missing-matter

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
Palash Nandi, Maithili Joshi, Tanmoy Chakraborty
https://arxiv.org/abs/2507.13761

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
Language models are highly sensitive to prompt formulations - small changes in input can drastically alter their output. This raises a critical question: To what extent can prompt sensitivity be exploited to generate inapt content? In this paper, we investigate how discrete components of prompt design influence the generation of inappropriate content in Visual Language Models (VLMs). Specifically, we analyze the impact of three key factors on successful jailbreaks: (a) the inclusion of detailed…