Tootfinder

Okay, time to continue bashing. Perhaps this one project is just that bad, but Conan sounds like a complete antithesis of what a package manager is all about.
Well, this package insists to build its dependencies via Conan. Except it insists on really old versions that don't work with my glibc. So I need to start swapping dependencies.
Except it turns out Conan doesn't care much about resolving dependencies. So I actually need to start adjust versions of the dependencies of packages that it wants to build. And then it starts rebuilding other stuff and again everything fails because of incompatible versions.
And when I finally manage to find a working set, the actual project fails over protobuf version. After a long WTF-ing, I finally realize that it's complaining, because it somehow managed to mix the version of protobuf built by Conan and the external protobuf installed by Conda.
So yeah, great job. A package manager that doesn't really resolve dependencies but instead forces a dependency hell on you, and on top of that ends up mixing system packages with its own packages.

Hundreds of federal employees who lost their jobs in Elon Musk’s cost-cutting blitz are being asked to return to work.
The General Services Administration has given the employees
— who managed government workspaces
— until the end of the week to accept or decline reinstatement, according to an internal memo obtained by The Associated Press.
Those who accept must report for duty on Oct. 6 after what amounts to a seven-month paid vacation,
during which time the G…

White House rehires hundreds of employees terminated by DOGE
Hundreds of laid-off federal employees who managed government workspaces are being called back to their jobs as the Trump administration walks back plans to slash its real estate portfolio. The administration has given employees until the end of this week to accept or decline reinstatement, according to a memo obtained by The Associated Press. Those who accept must report to work on Oct. 6 after what amounts to a seven-month paid vacation. Rep. Greg Stanton of Arizona, the top Democrat on the s…

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives
Ding Wang, Mark D\'iaz, Charvi Rastogi, Aida Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo
https://

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives
Understanding what constitutes safety in AI-generated content is complex. While developers often rely on predefined taxonomies, real-world safety judgments also involve personal, social, and cultural perceptions of harm. This paper examines how annotators evaluate the safety of AI-generated images, focusing on the qualitative reasoning behind their judgments. Analyzing 5,372 open-ended comments, we find that annotators consistently invoke moral, emotional, and contextual reasoning that extends …

Patrzcie, com wygrzebał z archiwum.
(To z początku 2017 roku. Wtedy jeszcze mieliśmy takie rzeczy jak ciągły śnieg. Nie mam pojęcia, gdzie to jest, bo brak danych GPS.)
[EDIT: @… sugeruje, że to #Mórkowo, koło Leszna. Całkiem prawdopodobne.]

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#PirateABookOrPlay

A model free approach for continuous-time optimal tracking control with unknown user-define cost and constrained control input via advantage function
Duc Cuong Nguyen, Quang Huy Dao, Phuong Nam Dao
https://arxiv.org/abs/2509.16821

A model free approach for continuous-time optimal tracking control with unknown user-define cost and constrained control input via advantage function
This paper presents a pioneering approach to solving the linear quadratic regulation (LQR) and linear quadratic tracking (LQT) problems with constrained inputs using a novel off-policy continuous-time Q-learning framework. The proposed methodology leverages a novel concept of the Advantage function for linear continuous systems, enabling solutions to be obtained without the need for prior knowledge of the reward matrix weights, state resetting, or assuming the existence of a predefined admissib…

A workflow for generating synthetic LiDAR datasets in simulation environments
Abhishek Phadke, Shakib Mahmud Dipto, Pratip Rana
https://arxiv.org/abs/2506.17378

A workflow for generating synthetic LiDAR datasets in simulation environments
This paper presents a simulation workflow for generating synthetic LiDAR datasets to support autonomous vehicle perception, robotics research, and sensor security analysis. Leveraging the CoppeliaSim simulation environment and its Python API, we integrate time-of-flight LiDAR, image sensors, and two dimensional scanners onto a simulated vehicle platform operating within an urban scenario. The workflow automates data capture, storage, and annotation across multiple formats (PCD, PLY, CSV), produ…

With 35% of the stock market value coming from 7 companies benefiting from AI hype, and us being in a bubble, I felt it was time to diversify my retirement portfolio. I’ve added this asset to my holdings.

Search-based Generation of Waypoints for Triggering Self-Adaptations in Maritime Autonomous Vessels
Karoline Nyl{\ae}nder, Aitor Arrieta, Shaukat Ali, Paolo Arcaini
https://arxiv.org/abs/2507.16327

Search-based Generation of Waypoints for Triggering Self-Adaptations in Maritime Autonomous Vessels
Self-adaptation in maritime autonomous vessels (AVs) enables them to adapt their behaviors to address unexpected situations while maintaining dependability requirements. During the design of such AVs, it is crucial to understand and identify the settings that should trigger adaptations, enabling validation of their implementation. To this end, we focus on the navigation software of AVs, which must adapt their behavior during operation through adaptations. AVs often rely on predefined waypoints …

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
Zhou Chen, Sanjoy Kundu, Harsimran S. Baweja, Sathyanarayanan N. Aakur
https://arxiv.org/abs/2506.17516

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
Active event perception, the ability to dynamically detect, track, and summarize events in real time, is essential for embodied intelligence in tasks such as human-AI collaboration, assistive robotics, and autonomous navigation. However, existing approaches often depend on predefined action spaces, annotated datasets, and extrinsic rewards, limiting their adaptability and scalability in dynamic, real-world scenarios. Inspired by cognitive theories of event perception and predictive coding, we p…