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Analysis

This paper addresses the critical issue of visual comfort and accurate performance evaluation in large-format LED displays. It introduces a novel measurement method that considers human visual perception, specifically foveal vision, and mitigates measurement artifacts like stray light. This is important because it moves beyond simple luminance measurements to a more human-centric approach, potentially leading to better display designs and improved user experience.
Reference

The paper introduces a novel 2D imaging luminance meter that replicates key optical parameters of the human eye.

Research#llm📝 BlogAnalyzed: Dec 25, 2025 23:14

User Quits Ollama Due to Bloat and Cloud Integration Concerns

Published:Dec 25, 2025 18:38
1 min read
r/LocalLLaMA

Analysis

This article, sourced from Reddit's r/LocalLLaMA, details a user's decision to stop using Ollama after a year of consistent use. The user cites concerns about the direction of the project, specifically the introduction of cloud-based models and the perceived bloat added to the application. The user feels that Ollama is straying from its original purpose of providing a secure, local AI model inference platform. The user expresses concern about privacy implications and the shift towards proprietary models, questioning the motivations behind these changes and their impact on the user experience. The post invites discussion and feedback from other users on their perspectives on Ollama's recent updates.
Reference

I feel like with every update they are seriously straying away from the main purpose of their application; to provide a secure inference platform for LOCAL AI models.