Tootfinder

Eilmeldung: Wasser ist nass, nachts ist es dunkel und US-Behörden lesen in unserer Cloud mit. 🤯 Ein neues Gutachten bestätigt, was absolut niemand kommen sah (außer jedem einzelnen Datenschützer der letzten zehn Jahre). @…
Konsequenzen ? Weitgehend Fehlanzeige
#Neuland

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Wilhelm Kienzl, Benjamin Butterfield, Peter Neelands, The Canadian Children's Opera Chorus, Canadian Opera Company Orchestra & Richard Bradshaw:
🎵 Selig sind, die Verfolgung leiden (from Act 2 of 'Der Evangelimann')

🇺🇦 #NowPlaying on KEXP's #PacificNotions
Nailah Hunter & Alia:
🎵 The Pavilion Of Dreams
#NailahHunter #Alia
https://nailahhunter.bandcamp.com/album/the-pavilion-of-dreams
https://open.spotify.com/track/6kih4ZPZSHjUaPOs4XqGET

Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Zhixiong Chen, Hyundong Shin, Arumugam Nallanathan, Jonathon Chambers
https://arxiv.org/abs/2510.10561

Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Accurate channel prediction and effective beamforming are essential for low Earth orbit (LEO) satellite communications to enhance system capacity and enable high-speed connectivity. Most existing channel prediction and predictive beamforming methods are limited by model generalization capabilities and struggle to adapt to time-varying wireless propagation environments. Inspired by the remarkable generalization and reasoning capabilities of large language models (LLMs), this work proposes an LLM…

«Grantees must ensure that all submitted work can be legally published under a FLOS licence. This includes verifying that GenAI-assisted outputs do not reproduce copyrighted or incompatible material.»
That's one way of saying "you can't use generative 'AI' when we fund you" 😅
https://nlnet.nl/foundation/policies/generativeAI/

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Bingjie Zhu, Zhixiong Chen, Liqiang Zhao, Hyundong Shin, Arumugam Nallanathan
https://arxiv.org/abs/2510.11331

Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Large language model (LLM) inference at the network edge is a promising serving paradigm that leverages distributed edge resources to run inference near users and enhance privacy. Existing edge-based LLM inference systems typically adopt autoregressive decoding (AD), which only generates one token per forward pass. This iterative process, compounded by the limited computational resources of edge nodes, results in high serving latency and constrains the system's ability to support multiple users…

Hat hier jemand #DigitaleSouveränität gesagt? Ja, das ist noch ein bisschen #Neuland. Das @… versucht es trotzdem damit. Doch die Lehrkräfte sind z…

Sicher, aber unbeliebt: Office-Paket Schule@BW überzeugt Lehrkräfte im Land noch nicht
Mit der Plattform Schule@BW will das Land die digitale Souveränität an Schulen fördern. Doch die datenschutzfreundliche Lösung überzeugt noch nicht alle Lehrkräfte.

Bei dieser Chat-Kontrolle-Diskussion habe ich immer im Hinterkopf, wie Bundesregierung und Länderregierungen wohl die zu erwartende Datenmenge per Fax in den Griff bekommen möchten. #justthinkin #neuland

from my link log —
GHC: from bug to merge.
http://neilmitchell.blogspot.com/2018/12/ghc-from-bug-to-merge.html
saved 2018-12-12 ht…

🇺🇦 #NowPlaying on KEXP's #MorningShow
Sugar:
🎵 Man on the Moon
#Sugar
https://neilnathan.bandcamp.com/track/sugar-man-2
https://open.spotify.com/track/3pwTc1VuyBD5pPRzfiFyzt