Tootfinder

heise | Mac als lokales KI-System: So geht's
Wer Aufgaben an Chatbots wie ChatGPT & Co. delegiert, muss den Betreibern oft sensible Daten anvertrauen. Mit dem Open-Source-Projekt Ollama geht das lokal.
https://www.<…

🥳 Auto-Encrypt Localhost version 9.0.0 released
Bye bye, Windows.
• Windows is no longer supported as Microsoft is complicit in Israel’s genocide of the Palestinian people¹ and Small Technology Foundation² stands in solidarity with the Boycott, Divestment, and Sanctions (BDS) movement³. Windows is an ad-infested and surveillance-ridden dumpster fire of an operating system and, alongside supporting genocide, you are putting both yourself and others at risk by using it.
Enjo…

auto-encrypt-localhost
Automatically provisions and installs locally-trusted TLS certificates for Node.js https servers in 100% JavaScript (without any native dependencies like mkcert and certutil).

Hatte sich hier nicht kürzlich jemand über mangelnde Hof(ewiesen)berichterstattung beschwert? Das Anliegen wurde erhört.
https://www.dnn.de/lokales/dresden/dresden-hofewiese-soll-von-loschwitz-zur-ortschaft-lan…

Die Hofewiese soll „umziehen“ – vom Stadtbezirk Loschwitz zur Ortschaft Langebrück
Die Fraktion „Team Zastrow“ hat in der Diskussion um eine neue Hauptsatzung die Verschiebung der Stadtbezirksgrenze an der Hofewiese vorgeschlagen. In Loschwitz fand der Vorschlag keine Mehrheit.

Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
Joachim Diederich
https://arxiv.org/abs/2510.09338 https://arxiv.org/pdf/2510.09338

Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
We present a novel framework for training large language models with continuously adjustable internal representations that span the full spectrum from localist (interpretable, rule-based) to distributed (generalizable, efficient) encodings. The key innovation is a locality dial, a tunable parameter that dynamically controls the degree of localization during both training and inference without requiring model retraining. This is achieved through group sparsity penalties on attention mechanisms, …

Mono4DEditor: Text-Driven 4D Scene Editing from Monocular Video via Point-Level Localization of Language-Embedded Gaussians
Jin-Chuan Shi, Chengye Su, Jiajun Wang, Ariel Shamir, Miao Wang
https://arxiv.org/abs/2510.09438

Mono4DEditor: Text-Driven 4D Scene Editing from Monocular Video via Point-Level Localization of Language-Embedded Gaussians
Editing 4D scenes reconstructed from monocular videos based on text prompts is a valuable yet challenging task with broad applications in content creation and virtual environments. The key difficulty lies in achieving semantically precise edits in localized regions of complex, dynamic scenes, while preserving the integrity of unedited content. To address this, we introduce Mono4DEditor, a novel framework for flexible and accurate text-driven 4D scene editing. Our method augments 3D Gaussians wi…

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Baoshan Song, Xiao Xia, Penggao Yan, Yihan Zhong, Weisong Wen, Li-Ta Hsu
https://arxiv.org/abs/2510.08880

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Accurate calibration of intrinsic (odometer scaling factors) and extrinsic parameters (IMU-odometer translation and rotation) is essential for autonomous ground vehicle localization. Existing GNSS-aided approaches often rely on positioning results or raw measurements without ambiguity resolution, and their observability properties remain underexplored. This paper proposes a tightly coupled online calibration method that fuses IMU, odometer, and raw GNSS measurements (pseudo-range, carrier-phase…

A Localized Orthogonal Decomposition method for heterogeneous mixed-dimensional problems
Moritz Hauck, Axel M{\aa}lqvist, Malin Mosquera
https://arxiv.org/abs/2510.09442 https:/…

A Localized Orthogonal Decomposition method for heterogeneous mixed-dimensional problems
We propose a multiscale method for mixed-dimensional elliptic problems with highly heterogeneous coefficients arising, for example, in the modeling of fractured porous media. The method is based on the Localized Orthogonal Decomposition (LOD) framework and constructs locally supported, problem-adapted basis functions on a coarse mesh that does not need to resolve the coefficient oscillations. These basis functions are obtained in parallel by solving localized fine-scale problems. Our a priori e…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
LL Cool J:
🎵 Loungin’ (Who Do Ya Luv) (remix)
#LLCoolJ
https://thecoreofourstrategy.bandcamp.com/track/ll-cool-j-loungin-swamis-dub

Die Woche beginnt mit Autofahrertränen.
Und plötzlich findet auch Team Zastrow parken doof. 🤦
https://www.tag24.de/dresden/lokales/handwerker-blockieren-stellplaetze-anwohner-in-klotzsche-genervt-vom-park-chao…

Dresden: Handwerker blockieren Stellplätze! Anwohner in Klotzsche genervt vom Park-Chaos
Seit Monaten blockieren Fahrzeuge von Handwerkern der Infineon-Baustelle in Klotzsche die raren Anwohner-Parkplätze. Der Frust ist groß.

Repairing Regex Vulnerabilities via Localization-Guided Instructions
Sicheol Sung, Joonghyuk Hahn, Yo-Sub Han
https://arxiv.org/abs/2510.09037 https://arxi…

Repairing Regex Vulnerabilities via Localization-Guided Instructions
Regular expressions (regexes) are foundational to modern computing for critical tasks like input validation and data parsing, yet their ubiquity exposes systems to regular expression denial of service (ReDoS), a vulnerability requiring automated repair methods. Current approaches, however, are hampered by a trade-off. Symbolic, rule-based system are precise but fails to repair unseen or complex vulnerability patterns. Conversely, large language models (LLMs) possess the necessary generalizabili…