Tootfinder

xAI workers said they've encountered NSFW content, including AI-generated child sexual abuse material from Grok.
☑️ Musk's AI Tutors Describe 'Disgusting' Content Moderation Job - Business Insider
https://www.businessinsider.com/elon-musk-

Musk's AI tutors describe 'disgusting' content moderation job
Workers say they've faced sexually explicit content while xAI has marketed Grok to be deliberately provocative. Experts say the company should be cautious.

In a letter to the Trump administration, the GOP Senatorial Committee Chair Sen. Tim Scott said the Netflix-WBD deal raises "significant antitrust problems" (Semafor)
https://www.semafor.com/article/12/12/2025/opposition-to-netfli…

Opposition to Netflix-Paramount deal grows in Washington
Sen. Tim Scott, a Republican with close ties to the White House, joined the mounting opposition in Washington to Netflix’s takeover of Warner Bros.

In a letter to the Trump administration, the GOP Senatorial Committee Chair Sen. Tim Scott said the Netflix-WBD deal raises "significant antitrust problems" (Semafor)
https://www.semafor.com/article/12/12/2025/opposition-to-netfli…

Opposition to Netflix-Paramount deal grows in Washington
Sen. Tim Scott, a Republican with close ties to the White House, joined the mounting opposition in Washington to Netflix’s takeover of Warner Bros.

Bob B prowls around the house: just today we got Bob B to come into our house but we've got to convince Kimball to let him stay
#photo #photography #cats

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
Hayat Rajani, Valerio Franchi, Borja Martinez-Clavel Valles, Raimon Ramos, Rafael Garcia, Nuno Gracias
https://arxiv.org/abs/2510.04876

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
Benthic habitat mapping is fundamental for understanding marine ecosystems, guiding conservation efforts, and supporting sustainable resource management. Yet, the scarcity of large, annotated datasets limits the development and benchmarking of machine learning models in this domain. This paper introduces a thorough multi-modal dataset, comprising about a million side-scan sonar (SSS) tiles collected along the coast of Catalonia (Spain), complemented by bathymetric maps and a set of co-registere…

A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation
Mehdi Rabiee, Sergio Greco, Reza Shahbazian, Irina Trubitsyna
https://arxiv.org/abs/2510.06276

A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation
Focal Cortical Dysplasia (FCD) is a primary cause of drug-resistant epilepsy and is difficult to detect in brain {magnetic resonance imaging} (MRI) due to the subtle and small-scale nature of its lesions. Accurate segmentation of FCD regions in 3D multimodal brain MRI images is essential for effective surgical planning and treatment. However, this task remains highly challenging due to the limited availability of annotated FCD datasets, the extremely small size and weak contrast of FCD lesions,…

Software testing startup Antithesis raised $105M led by trading firm Jane Street, as demand grows for software to vet code generated by AI coding tools (Financial Times)
https://www.ft.com/content/613bf123-b99a-4d18-b6d8-1ab453a8f2c6

On the Exact Sum PDF and CDF of {\alpha}-{\mu} Variates
Fernando Dar\'io Almeida Garc\'ia, Francisco Raimundo Albuquerque Parente, Michel Daoud Yacoub, Jose C\^andido Silveira Santos Filho
https://arxiv.org/abs/2510.03850

On the Exact Sum PDF and CDF of α-μ Variates
The sum of random variables (RVs) appears extensively in wireless communications, at large, both conventional and advanced, and has been subject of longstanding research. The statistical characterization of the referred sum is crucial to determine the performance of such communications systems. Although efforts have been undertaken to unveil these sum statistics, e.g., probability density function (PDF) and cumulative distribution function (CDF), no general efficient nor manageable solutions ca…

LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs
Abraham George, Amir Barati Farimani
https://arxiv.org/abs/2509.20070 https://

LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs
We present LLM Trainer, a fully automated pipeline that leverages the world knowledge of Large Language Models (LLMs) to transform a small number of human demonstrations (as few as one) into a large robot dataset for imitation learning. Our approach decomposes demonstration generation into two steps: (1) offline demonstration annotation that extracts keyframes, salient objects, and pose-object relations; and (2) online keypose retargeting that adapts those keyframes to a new scene, given an ini…

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
https://arxiv.org/abs/2509.21061

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
Fine-grained classification models are designed to focus on the relevant details necessary to distinguish highly similar classes, particularly when intra-class variance is high and inter-class variance is low. Most existing models rely on part annotations such as bounding boxes, part locations, or textual attributes to enhance classification performance, while others employ sophisticated techniques to automatically extract attention maps. We posit that part-based approaches, including automatic…