Tootfinder

🇺🇦 #NowPlaying on KEXP's #Audioasis
Great Grandpa:
🎵 Kid
#GreatGrandpa
https://greatgrandpabeebe.bandcamp.com/track/shoeshine-kid
https://open.spotify.com/track/2vzVD6fZrRfAEs1f5Sw4F8

There is a well known bug with Wayland & SDDM on FreeBSD KDE: Ctrl C by keypress abruptly throws you out of your Wayland session. Two things to add to that:
First: KDE and FreeBSD devs are actively looking for FreeBSD help in this, bcs the regular systemd type of logs are obviously not available here for bug tracing. If you can help, please do!
Second: Found a great solutions in the FreeBSD forums. It's a bit hidden in the threads so for clarity's sake:
I disab…

Linux Mint is often shilled as a lightweight distro that runs great on older hardware. Well, turns out the Cinnamon Desktop actually requires a certain amount of GPU performance to render smoothly.
On my old laptop Intel HD Graphics 4000, the entire Desktop only runs at ~30 FPS. The Xfce/MATE Editions run at 60 with occasional drops.
I didn't expect that from Cinnamon. Even KDE Plasma ran better.

@… yes, it's great. There also is KDE Connect, but I find LocalSend simpler to use.

Crossover between kite growth and vibrational bridging in pillar-assisted controlled formation of carbon nanotube networks
Yuanjia Liu, Taiki Inoue, Yoshihiro Kobayashi
https://arxiv.org/abs/2509.08301

Crossover between kite growth and vibrational bridging in pillar-assisted controlled formation of carbon nanotube networks
Pillar-assisted growth is a technique in which short carbon nanotubes (CNTs) form suspended networks by growing across closely spaced microfabricated pillars. During growth, the CNT tips exhibit vibrations that allow them to bridge the neighboring pillars. To improve the complexity and controllability of the CNT networks, we introduce a kite-growth mechanism in which CNTs are elongated and aligned by gas flow during growth, enabling a longer bridging distance compared to vibrational bridging. B…

Kid needs to practise talking about news stories in Japanese, and wants to use happy news stories ... not a good week for it! The homework was set a while ago.
Managed to remember the Great Koala National Park being established and the recording of black holes colliding ... I guess that's something good, right?

Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi, Yogesh Simmhan
https://arxiv.org/abs/2508.08022

Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
Real-time monitoring of power consumption in cities and micro-grids through the Internet of Things (IoT) can help forecast future demand and optimize grid operations. But moving all consumer-level usage data to the cloud for predictions and analysis at fine time scales can expose activity patterns. Federated Learning~(FL) is a privacy-sensitive collaborative DNN training approach that retains data on edge devices, trains the models on private data locally, and aggregates the local models in the…

A neural drift-plus-penalty algorithm for network power allocation and routing
Ahmed Rashwan, Keith Briggs, Chris Budd
https://arxiv.org/abs/2509.09637 https://

A neural drift-plus-penalty algorithm for network power allocation and routing
The drift-plus-penalty method is a Lyapunov optimisation technique commonly applied to network routing problems. It reduces the original stochastic planning task to a sequence of greedy optimizations, enabling the design of distributed routing algorithms which stabilize data queues while simultaneously optimizing a specified penalty function. While drift-plus-penalty methods have desirable asymptotic properties, they tend to incur higher network delay than alternative control methods, especiall…

Great one-man effort (in his spare time) by my former colleague Maarten Staats! He went where no organisation went before ;)
Still quite tough to find the information underneath - crossing language and other barriers - but by far the best overview of Europe's grid capacity issues there is.
Rightfully getting a lot of traction!

I couldn't believe this didn't exist yet. So I built it myself.   Electricity grid capacity is an issue throughout the whole EU, but there issn't a clear overview. If you wanted to get this insight… | Maarten Staats | 247 comments
I couldn't believe this didn't exist yet. So I built it myself.   Electricity grid capacity is an issue throughout the whole EU, but there issn't a clear overview. If you wanted to get this insight, you would need to find all maps and paint a mental picture from each country's overview maps.   So that's exactly what I did. I built an overview of grid capacity maps for the whole EU. And made it into an interactive tool.   I'm not going to lie. It took more time than I want to admit. But it wa…

P/D-Device: Disaggregated Large Language Model between Cloud and Devices
Yibo Jin, Yixu Xu, Yue Chen, Chengbin Wang, Tao Wang, Jiaqi Huang, Rongfei Zhang, Yiming Dong, Yuting Yan, Ke Cheng, Yingjie Zhu, Shulan Wang, Qianqian Tang, Shuaishuai Meng, Guanxin Cheng, Ze Wang, Shuyan Miao, Ketao Wang, Wen Liu, Yifan Yang, Tong Zhang, Anran Wang, Chengzhou Lu, Tiantian Dong, Yongsheng Zhang, Zhe Wang, Hefei Guo, Hongjie Liu, Wei Lu, Zhengyong Zhang

P/D-Device: Disaggregated Large Language Model between Cloud and Devices
Serving disaggregated large language models has been widely adopted in industrial practice for enhanced performance. However, too many tokens generated in decoding phase, i.e., occupying the resources for a long time, essentially hamper the cloud from achieving a higher throughput. Meanwhile, due to limited on-device resources, the time to first token (TTFT), i.e., the latency of prefill phase, increases dramatically with the growth on prompt length. In order to concur with such a bottleneck on…