Tootfinder

Block releases Berd, a desktop app it built to give its employees a single environment for working with AI agents across different models, under Apache 2.0 (Carl Franzen/VentureBeat)
https://venturebeat.com/orchestration…

New Linux desktop environment just dropped. Anybody remember DRI GEM? https://github.com/triglav-os/gem

Signal – Don’t forget to configure for privacy
In a business or non-profit environment, there is a good chance that your management team is using Signal. And why not? It brings security and privacy to messaging, file sharing, video and phone calls. Not only can you do one-to-one communications, you can create and manage groups. Sensitive business conversations can remain secret. What’s not to like about that?
Out-of-the-Box Signal needs attention to the configuration settings to get the best privacy. If you are a CISO or IT specialist, you can help your management team configure Signal for the best privacy.
After installing Signal on a mobil phone or desktop, review the configuration settings and adjust them as needed. Here is a free guide that will get you started:
#Security #Privacy #Signal

Linux taketh away and Linux giveth
Something went wrong in Chrome when I tried a different desktop environment, and then my main Chrome environment lost all my login cookies. Not fatal but very annoying.
I was able to restore by using the built-in filesystem snapshots to copy my Chrome profile from yesterday.
Thanks, btrfs!

Finished reinstalling Artix after trying out Void Linux. Genuinely could've spent that time on coding instead.

MR-Compare: A Mixed-Reality Framework for Spatially Grounded Visual Comparison of 3D Gaussian Splatting and Mesh Reconstructions with the Physical Environment
Changrui Zhu, Ernst Kruijff, Pengju Zhang, Simon Julier
https://arxiv.org/abs/2607.20325 https://arxiv.org/pdf/2607.20325 https://arxiv.org/html/2607.20325
arXiv:2607.20325v1 Announce Type: new
Abstract: We introduce MR-Compare, a mixed reality framework for spatially grounded visual comparison between 3D Gaussian splatting and mesh reconstructions with live video see-through (VST). Implemented on a PC-tethered Meta Quest~3, it combines a two-stage registration pipeline with a 3D Slider for cross-media comparison. We evaluated five representative desktop and mobile reconstruction workflows through a real-world benchmark with an exploratory user study ($n=30$) in two static indoor rooms. MR-Compare achieved centimetre-level translation error across all workflows. The two desktop 3DGS workflows showed the strongest overall pattern, with 3DGS-MCMC yielding the lowest registration error and strongest VST-referenced visual consistency. Room-session measures indicated high perceived usability and low workload. We further propose an anisotropy filter, a zero-shot module that leverages Gaussian anisotropies to improve 3DGS registration in MR-Compare. A controlled Replica threshold sweep shows that moderate pruning can improve robustness and reduce residual errors. These results establish system-level feasibility in the tested setting rather than task-level effectiveness or standalone deployment. The project is available at https://github.com/changruizhu96/MR-Compare.
toXiv_bot_toot