Tootfinder

""[…] one message came through clearly: as we move forward, we should take the opportunity to improve the [#Fedora packager workflow] model rather than simply replicate it. The conversation focused on three key areas: package ownership, artifact storage, and Packit integration.
[…]
Key takeaways include:
* A Shift to Merge Requests: There is strong momentum to make …

Future of Privacy Forum Appoints Four New Members to Its Board of Directors 
https://fpf.org/press-releases/future-of-privacy-forum-appoints-four-new-members-to-its-board-of-directors/

This is a great milestone to see for Mastodon, in evolving towards its new community-focused governance structure. I’m optimistic about what this portends for the platform and how its features & future evolve. (And it’s fun that I was there for the photo being taken!) https://

Mastodon CEO steps down as the social network restructures | TechCrunch
Eugen Rochko is stepping down as CEO of decentralized social network Mastodon. Felix Hlatky will now become the executive director as the company becomes structured as a nonprofit government by a board.

Shedeur Sanders more focused on Browns beating Bears than his future https://www.nytimes.com/athletic/6879489/2025/12/10/shedeur-sanders-browns-future-bears/

Cowboys' George Pickens reveals 1 important element in deciding long-term future https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-george-pickens-reveals-1-important-elem…

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul Chang
https://arxiv.org/abs/2510.07092

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
World models are a powerful paradigm in AI and robotics, enabling agents to reason about the future by predicting visual observations or compact latent states. The 1X World Model Challenge introduces an open-source benchmark of real-world humanoid interaction, with two complementary tracks: sampling, focused on forecasting future image frames, and compression, focused on predicting future discrete latent codes. For the sampling track, we adapt the video generation foundation model Wan-2.2 TI2V-…

Future of Privacy Forum Appoints Matthew Reisman as Vice President of U.S. Policy
https://fpf.org/press-releases/future-of-privacy-forum-appoints-matthew-reisman-as-vice-president-of-u-s-policy/

Raiders' Pete Carroll focused on winning, not trade deadline https://www.nfl.com/news/raiders-pete-carroll-focused-on-winning-not-trade-deadline

Why Gen X women can’t stop eating ultra-processed foods #nutrition

Why Gen X women can’t stop eating ultra-processed foods
Researchers found that middle-aged adults, especially women, are far more likely to be addicted to ultra-processed foods than older generations. Marketing of diet-focused processed foods in the 1980s may have played a major role. Food addiction was linked to poor health, weight issues, and social isolation, highlighting long-term risks. Experts warn that children today could face even higher addiction rates in the future.

Performance Analysis for Multi-User Holographic MIMO Downlink with Matched Filter Precoding
Gayathri Shekar, Saman Atapattu, Prathapasinghe Dharmawansa, Kandeepan Sithamparanathan
https://arxiv.org/abs/2510.04530

Performance Analysis for Multi-User Holographic MIMO Downlink with Matched Filter Precoding
Holographic MIMO (HMIMO) has emerged as a promising solution for future wireless systems by enabling ultra-dense, spatially continuous antenna deployments. While prior studies have primarily focused on electromagnetic (EM) modeling or simulation-based performance analysis, a rigorous communication-theoretic framework remains largely unexplored. This paper presents the first analytical performance study of a multi-user HMIMO downlink system with matched filter (MF) precoding - a low-complexity b…

Towards Understanding the Shape of Representations in Protein Language Models
Kosio Beshkov, Anders Malthe-S{\o}renssen
https://arxiv.org/abs/2509.24895 https://

Towards Understanding the Shape of Representations in Protein Language Models
While protein language models (PLMs) are one of the most promising avenues of research for future de novo protein design, the way in which they transform sequences to hidden representations, as well as the information encoded in such representations is yet to be fully understood. Several works have attempted to propose interpretability tools for PLMs, but they have focused on understanding how individual sequences are transformed by such models. Therefore, the way in which PLMs transform the wh…