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Source channel @githubtrending · Post #15365 · Dec 24
#jupyter_notebook DINOv3 offers powerful self-supervised vision models from Meta AI, like ViT up to 7B parameters and ConvNeXt, pretrained on 1.7B web or satellite images. Load them easily via PyTorch Hub, Hugging Face Transformers (v4.56+), or timm (v1.0.20+), with code examples for features, depth, detection, and segmentation. You benefit by using these top-performing, dense features without fine-tuning or labels—saving time and compute for tasks like classification, object detection, and zero-shot analysis on your images. https://github.com/facebookresearch/dinov3
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@anarchogardening · Post #3148 · 03/20/2026, 01:44 PM
The richest 10% now receive 53% of global income 💰 and own 75% of all wealth 🌍, yet inequality alone does not cause unrest. A study of 120 countries (1996–2020) shows it becomes politically destabilizing only when internet use 📱 exceeds 50% of the population by increasing information and coordination. Read Full Article #Inequality#WealthDistribution#PoliticalStability#InternetImpact#GlobalEconomics