Tootfinder

(from: https://bsky.app/profile/iniquitousfish.bsky.social/post/3m4uahfrr7c25)

Wikipedia editors adopt a policy giving admins the authority to quickly delete AI-generated articles that meet certain criteria, like incorrect citations (Emanuel Maiberg/404 Media)
https://www.404media.co/wikipedia-editors-adopt-speedy-deletion-p…

Wikipedia Editors Adopt ‘Speedy Deletion’ Policy for AI Slop Articles
“The ability to quickly generate a lot of bogus content is problematic if we don't have a way to delete it just as quickly.”

What if… Pretendo’s Miiverse but with ActivityPub?

🇺🇦 Auf #radioeins läuft...
Maverick Sabre:
🎵 These Days - Mav's Version
#NowPlaying #MaverickSabre
https://open.spotify.com/track/0kKk6VIhongk9j84kbS6jg

The Telephone Game: Evaluating Semantic Drift in Unified Models
Sabbir Mollah, Rohit Gupta, Sirnam Swetha, Qingyang Liu, Ahnaf Munir, Mubarak Shah
https://arxiv.org/abs/2509.04438

The Telephone Game: Evaluating Semantic Drift in Unified Models
Employing a single, unified model (UM) for both visual understanding (image-to-text: I2T) and and visual generation (text-to-image: T2I) has opened a new direction in Visual Language Model (VLM) research. While UMs can also support broader unimodal tasks (e.g., text-to-text, image-to-image), we focus on the core cross-modal pair T2I and I2T, as consistency between understanding and generation is critical for downstream use. Existing evaluations consider these capabilities in isolation: FID and …

LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation
Anas Mabrouk, Mohamed Hatem, Mohammad Mamun, Sherif Saad
https://arxiv.org/abs/2508.02942 htt…

LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation
Lateral Movement (LM) attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development and evaluation of LM detection systems are impeded by the absence of realistic, well-labeled datasets. To address this gap, we propose LMDG, a reproducible and extensible framework for generating high-fidelity LM datasets. LMDG automates benign activity generation, multi-stage attack execution, and comprehensive label…

Pete Carroll Looks for Balance Against the Broncos on a Short Week https://www.youtube.com/watch?v=0mBrCw8GJRY

A Note on Conjectures of Gullerud, Johnson, and Mbirika
Robert Davis, Nayda Farnsworth
https://arxiv.org/abs/2510.02008 https://arxiv.org/pdf/2510.02008

A Note on Conjectures of Gullerud, Johnson, and Mbirika
In 2023, Gullerud, Johnson, and Mbirika presented results on their study of certain tridiagonal real symmetric matrices. As part of their work, they studied the roots to nonhomogeneous equations related to characteristic polynomials of adjacency matrices for path graphs. They showed that a subset of these polynomials give a Fibonacci number when evaluated at the imaginary unit, leading them to make several intriguing conjectures. In this work, we further explore their conjectures regarding the …

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Lila Iké:
🎵 All That and More (feat. Maverick Sabre)
#LilaIké
https://ineffablerecords.bandcamp.com/track/all-that-and-more-with-maverick-sabre

The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
Anuroop Sriram, Logan M. Brabson, Xiaohan Yu, Sihoon Choi, Kareem Abdelmaqsoud, Elias Moubarak, Pim de Haan, Sindy L\"owe, Johann Brehmer, John R. Kitchin, Max Welling, C. Lawrence Zitnick, Zachary Ulissi, Andrew J. Medford, David S. Sholl
https://arxiv.org/abs/2508…

The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
Identifying useful sorbent materials for direct air capture (DAC) from humid air remains a challenge. We present the Open DAC 2025 (ODAC25) dataset, a significant expansion and improvement upon ODAC23 (Sriram et al., ACS Central Science, 10 (2024) 923), comprising nearly 70 million DFT single-point calculations for CO$_2$, H$_2$O, N$_2$, and O$_2$ adsorption in 15,000 MOFs. ODAC25 introduces chemical and configurational diversity through functionalized MOFs, high-energy GCMC-derived placements,…