Tootfinder

Ken Paxton has amassed millions of dollars while in public office | TPR https://www.tpr.org/news/2025-10-10/ken-paxton-has-amassed-millions-of-dollars-while-in-public-office

Ken Paxton has amassed millions of dollars while in public office
Paxton is currently running for the U.S. Senate seat held by John Cornyn.

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Yumin Choi, Dongki Kim, Jinheon Baek, Sung Ju Hwang
https://arxiv.org/abs/2510.09201 https://

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Large Language Models (LLMs) have shown remarkable success, and their multimodal expansions (MLLMs) further unlock capabilities spanning images, videos, and other modalities beyond text. However, despite this shift, prompt optimization approaches, designed to reduce the burden of manual prompt crafting while maximizing performance, remain confined to text, ultimately limiting the full potential of MLLMs. Motivated by this gap, we introduce the new problem of multimodal prompt optimization, whic…

HTTP/1.1 must die: the desync endgame
Upstream HTTP/1.1 is inherently insecure and regularly exposes millions of websites to hostile takeover. Six years of attempted mitigations have hidden the issue, but failed to fix it.
🌐 https://portswigger.net/research/http1-must-die

HTTP/1.1 must die: the desync endgame
Abstract Upstream HTTP/1.1 is inherently insecure and regularly exposes millions of websites to hostile takeover. Six years of attempted mitigations have hidden the issue, but failed to fix it. This p

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Liu Yang, Huiyu Duan, Ran Tao, Juntao Cheng, Sijing Wu, Yunhao Li, Jing Liu, Xiongkuo Min, Guangtao Zhai
https://arxiv.org/abs/2510.11549

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Omnidirectional images (ODIs) provide full 360x180 view which are widely adopted in VR, AR and embodied intelligence applications. While multi-modal large language models (MLLMs) have demonstrated remarkable performance on conventional 2D image and video understanding benchmarks, their ability to comprehend the immersive environments captured by ODIs remains largely unexplored. To address this gap, we first present ODI-Bench, a novel comprehensive benchmark specifically designed for omnidirecti…

lkml_thread: Linux kernel mailing list
A bipartite network of contributions by users to threads on the Linux kernel mailing list. A left node is a person, and a right node is a thread, and each timestamped edge (i,j,t) denotes that user i contributed to thread j at time t. The date of the snapshot is not given.
This network has 379554 nodes and 1565683 edges.
Tags: Social, Communication, Unweighted, Timestamps

Hyundai Data Breach Leaked 2.7 Million Social Security Numbers
https://www.jalopnik.com/2023359/hyundai-data-breach-leaked-millions-social-security-numbers/

Hyundai Data Breach Leaked 2.7 Million Social Security Numbers
We're looking at a data breach at Hyundai, as well as dealers' climbing new-car inventories and more.

CFP ACLA 2026: Melancholic Cosmopolitanism: https://call-for-papers.sas.upenn.edu/cfp/2025/09/11/cfp-acla-2026-melancholic-cosmopolitanism

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
Zixin Zhang, Kanghao Chen, Xingwang Lin, Lutao Jiang, Xu Zheng, Yuanhuiyi Lyu, Litao Guo, Yinchuan Li, Ying-Cong Chen
https://arxiv.org/abs/2510.09507

PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
The ability to use, understand, and create tools is a hallmark of human intelligence, enabling sophisticated interaction with the physical world. For any general-purpose intelligent agent to achieve true versatility, it must also master these fundamental skills. While modern Multimodal Large Language Models (MLLMs) leverage their extensive common knowledge for high-level planning in embodied AI and in downstream Vision-Language-Action (VLA) models, the extent of their true understanding of phys…

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

CFP ACLA 2026: Melancholic Cosmopolitanism: https://call-for-papers.sas.upenn.edu/cfp/2025/09/12/cfp-acla-2026-melancholic-cosmopolitanism