Tootfinder

Dish files counterclaims against Disney and ESPN over the launch of limited-time passes for Sling TV and alleges antitrust violations and breach of contract (Todd Spangler/Variety)
https://variety.com/2026/tv/news/dish-countersues-disney-e…

Dish Countersues Disney, ESPN Over Sling TV Short-Term Passes
Dish Network is firing back at Disney and EPSN in a legal dispute over its launch of limited-time passes for Sling TV

Cold, drones, shelling and darkness: how Ukrainian servicemen can survive where it seems impossible: https://benborges.xyz/2025/12/05/cold-drones-shelling-and-darkness.html

Edge 70: Motorolas dünnes Smartphone mit 4800 mAh Akku
Nach Samsung und Apple hat jetzt auch Motorola mit dem Moto Edge 70 ein schlankes Smartphone vorgestellt. Dabei spart der Hersteller nicht beim Akku.
https://www…

White House slams Mamdani's 'completely irresponsible' comments linking Trump to threats against voters (Fox News)
https://www.foxnews.com/politics/white-house-slams-mamdanis-completely-irresponsible-comments-linking-trump-threats-against-voters
http://www.memeorandum.com/251104/p128#a251104p128

On the Role of Temperature Sampling in Test-Time Scaling
Yuheng Wu, Azalia Mirhoseini, Thierry Tambe
https://arxiv.org/abs/2510.02611 https://arxiv.org/pdf…

On the Role of Temperature Sampling in Test-Time Scaling
Large language models (LLMs) can improve reasoning at inference time through test-time scaling (TTS), where multiple reasoning traces are generated and the best one is selected. Prior work shows that increasing the number of samples K steadily improves accuracy. In this paper, we demonstrate that this trend does not hold indefinitely: at large K, further scaling yields no gains, and certain hard questions remain unsolved regardless of the number of traces. Interestingly, we find that different …

ElasticMoE: An Efficient Auto Scaling Method for Mixture-of-Experts Models
Gursimran Singh (Huawei Technologies Canada), Timothy Yu (Huawei Technologies Canada), Haley Li (Huawei Technologies Canada), Cheng Chen (Huawei Technologies Canada), Hanieh Sadri (Huawei Technologies Canada), Qintao Zhang (Huawei Technologies China), Yu Zhang (Huawei Technologies China), Ying Xiong (Huawei Technologies Canada), Yong Zhang (Huawei Technologies Canada), Zhenan Fan (Huawei Technologies Canada)

ElasticMoE: An Efficient Auto Scaling Method for Mixture-of-Experts Models
Mixture-of-Experts (MoE) models promise efficient scaling of large language models (LLMs) by activating only a small subset of experts per token, but their parallelized inference pipelines make elastic serving challenging. Existing strategies fall short: horizontal scaling provisions entire replicas of the current configuration, often tens to hundreds of accelerators, leading to coarse granularity, long provisioning delays, and costly overprovisioning. Vertical scaling offers finer adjustments …

Scaling #Postgres
https://www.pgedge.com/blog/scaling-postgres

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices
Majid Dashtbani, Ladan Tahvildari
https://arxiv.org/abs/2510.02585 https://arxiv.…

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices
Microservices have become the dominant architectural paradigm for building scalable and modular cloud-native systems. However, achieving effective auto-scaling in such systems remains a non-trivial challenge, as it depends not only on advanced scaling techniques but also on sound design, implementation, and deployment practices. Yet, these foundational aspects are often overlooked in existing benchmarks, making it difficult to evaluate autoscaling methods under realistic conditions. In this pap…

Remote Desktop: Filevault-Verschlüsselung behindert Mac-Login – Workaround
Wer einen Mac ohne Bildschirm betreibt und macOS wie von Apple erwünscht mit FileVault nutzt, bekommt beim Neustart ein Problem.

Datenschutz unter Beschuss: Messengerdienste reagieren auf EU-Chatkontrolle
Nach Signals Drohung mit EU-Rückzug äußern sich WhatsApp und Threema zurückhaltender zur Chatkontrolle. Beide sehen die Ende-zu-Ende-Verschlüsselung gefährdet.