Tootfinder

Alphabet becomes the fourth company to reach a $3T market cap, joining Nvidia, Microsoft, and Apple, after its stock jumped 4% on Monday (Jennifer Elias/CNBC)
https://www.cnbc.com/2025/09/15/alphabet-3-trillion-market-cap.html

Alphabet becomes fourth company to reach $3 trillion market cap
Google's parent company added hundreds of billions of dollars in value in September following a favorable ruling.

Genuinely surprised the DoJ is following through on this given its new effort to marginalize disabled people.
“US sues Uber, alleges discrimination against disabled riders”
https://www.reuters.com/sustainability/soc

Latvian prime minister on Trump's NATO deal and new Russia sanctions: https://benborges.xyz/2025/07/16/latvian-prime-minister-on-trumps.html

Why use a URL shortener when you can use a phishy URL extender?
#infosec

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[5/5]:
- Digital and Robotic Twinning for Validation of Proximity Operations and Formation Flying
Golan, Zin, Ahmed, Bates, Bell, Huc, Low, Bosse, D'Amico

Coworker 1: "I'll have you know there ARE normal people who graduated from HSG."
Me: "Never met any of 'em."
Coworker: "You met me! I'm here! Am I not normal?"
Me: "You are working in this department. If you were too normal, you wouldn't have been accepted here."
Coworker 2 and 3:
"Gooble Gobble one of us! Gooble Gobble one of us!"

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik M\"oller, Ilhem Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf Heckemann, Spyridon Bakas, Jan Kirschke, …

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis
BrainLesion Suite is a versatile toolkit for building modular brain lesion image analysis pipelines in Python. Following Pythonic principles, BrainLesion Suite is designed to provide a 'brainless' development experience, minimizing cognitive effort and streamlining the creation of complex workflows for clinical and scientific practice. At its core is an adaptable preprocessing module that performs co-registration, atlas registration, and optional skull-stripping and defacing on arbitrary multi-…

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
Jia Wang, Jie Hu, Xiaoqi Ma, Hanghang Ma, Yanbing Zeng, Xiaoming Wei
https://arxiv.org/abs/2509.10260

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
Text-to-image (T2I) generation has achieved remarkable progress in instruction following and aesthetics. However, a persistent challenge is the prevalence of physical artifacts, such as anatomical and structural flaws, which severely degrade perceptual quality and limit application. Given the diversity and complexity of these artifacts, a systematic and fine-grained evaluation framework is required, which is lacking in current benchmarks. To fill this gap, we introduce MagicMirror, a comprehens…

Mask Consistency Regularization in Object Removal
Hua Yuan, Jin Yuan, Yicheng Jiang, Yao Zhang, Xin Geng, Yong Rui
https://arxiv.org/abs/2509.10259 https://

Mask Consistency Regularization in Object Removal
Object removal, a challenging task within image inpainting, involves seamlessly filling the removed region with content that matches the surrounding context. Despite advancements in diffusion models, current methods still face two critical challenges. The first is mask hallucination, where the model generates irrelevant or spurious content inside the masked region, and the second is mask-shape bias, where the model fills the masked area with an object that mimics the mask's shape rather than su…