Tootfinder

Iran's largest crypto exchange Nobitex says it was hacked, and pro-Israel group Predatory Sparrow claims responsibility; Elliptic: $90M was stolen and "burned" (Zack Whittaker/TechCrunch)
https://techcrunch.com/2025/06/18/hack

Hackers steal and destroy millions from Iran's largest crypto exchange | TechCrunch
It's the latest cyberattack on Iran claimed by a pro-Israeli hacking group since the latest flare up in tensions between the two countries.

Trump cuts to foreign aid leave food destined for desperate millions rotting in storage. »The dismantling of USAID and cuts to humanitarian aid has been devastating and unacceptable,« said one international aid group. https://www.commondreams.org/news/trump-usa…

It takes a special brand of political incompetence to see millions of people marching in opposition to the Republican president and not do anything to seize that momentum
but it appears dem leadership has decided to do just that
https://bsky.app/profile/ndrew.bsky.so

Meditation Suite 2
#MellowMusic #MeditationMusic #NowPlaying

Meditation Suite 2 #NowPlaying
Stan Stewart - @muz4now

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem
Yanxu Mao, Tiehan Cui, Peipei Liu, Datao You, Hongsong Zhu
https://arxiv.org/abs/2506.15170

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem
Large language models (LLMs) are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak attacks and corresponding defense mechanisms within the expanding LLM ecosystem. We first trace the developmental trajectory from LLMs to MLLMs and Agents, highlighting the core security challenges emergi…

lkml_reply: Linux kernel reply network
A network of replies among email address found on the Linux kernel mailing list. Nodes are email addresses and each directed edge represents a reply from email address i to email address j. The date of this snapshot is uncertain.
This network has 63399 nodes and 1096440 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Demystifying the Visual Quality Paradox in Multimodal Large Language Models
Shuo Xing, Lanqing Guo, Hongyuan Hua, Seoyoung Lee, Peiran Li, Yufei Wang, Zhangyang Wang, Zhengzhong Tu
https://arxiv.org/abs/2506.15645

Demystifying the Visual Quality Paradox in Multimodal Large Language Models
Recent Multimodal Large Language Models (MLLMs) excel on benchmark vision-language tasks, yet little is known about how input visual quality shapes their responses. Does higher perceptual quality of images already translate to better MLLM understanding? We conduct the first systematic study spanning leading MLLMs and a suite of vision-language benchmarks, applying controlled degradations and stylistic shifts to each image. Surprisingly, we uncover a visual-quality paradox: model, task, and even…

#NoKings #usa #uspol
Proteste in den USA sind laut Einschätzung eines Wissenschaftlers zweifelsohne mit einer der größten Ein- Tages- Proteste in der menschlichen Geschichte 💪🎉

"No Kings Day" protests turn out millions, rebuking Trump
Our unofficial estimate is that around 4-6 million people attended a protest event yesterday. Anti-Trump resistance is outpacing 2017.

Exploring MLLMs Perception of Network Visualization Principles
Jacob Miller, Markus Wallinger, Ludwig Felder, Timo Brand, Henry F\"orster, Johannes Zink, Chunyang Chen, Stephen Kobourov
https://arxiv.org/abs/2506.14611

Exploring MLLMs Perception of Network Visualization Principles
In this paper, we test whether Multimodal Large Language Models (MLLMs) can match human-subject performance in tasks involving the perception of properties in network layouts. Specifically, we replicate a human-subject experiment about perceiving quality (namely stress) in network layouts using GPT-4o and Gemini-2.5. Our experiments show that giving MLLMs exactly the same study information as trained human participants results in a similar performance to human experts and exceeds the performanc…

A look at China's efforts to grow its "low-altitude economy", or airspace below 1,000 meters, by leveraging its strengths in drone production and R&D (William Langley/Financial Times)
https://www.ft.com/content/65e4bb30-b04c-4f0e-8686-effb96398999…

China made millions of drones. Now it has to find uses for them
Authorities bet ‘low-altitude economy’ will be next driver of growth