MyVista-World

A swipe here, a soft blur there, a little nose lift, and voilà — the perfect selfie is born. But what happens when the face in your phone camera no longer matches the one in your mirror? In the age of AI beauty filters and face-tuning apps, our perception of ourselves is becoming more artificial, curated, and — let’s face it — confused. From casual Instagram stories to full-on TikTok glow-ups, filters have seeped into our daily digital lives. But at what cost? This blog explores the growing addiction to AI beauty filters, the psychological toll of hyper-edited selfies, and how our digital self-image is affecting real-life identity and self-worth. The Rise of AI Beauty Filters Gone are the days when filters were just fun dog ears or color tones. Today’s  AI beauty filters  are incredibly advanced. They don’t just adjust lighting — they reshape your jawline, plump your lips, smooth your skin, and widen your eyes, all in real time. Apps like FaceApp, YouCam, and TikTok’s beauty m...

 On  April 5–6, 2025 , Meta unveiled the  Llama 4  model family, introducing a groundbreaking  10 million token context window —a leap forward in  multimodal AI . This marks a significant shift, expanding what AI can process in a single context and reshaping the landscape for developers and enterprises alike. What Is Llama 4? Llama 4 arrives in three variants:  Scout ,  Maverick , and the upcoming  Behemoth . All are  mixture-of-experts (MoE) models—meaning they use sparse activation so only relevant experts process data, boosting efficiency  youtube.com +15 en.wikipedia.org +15 youtube.com +15 . Scout : Total parameters: 109 billion; active: 17 billion with 16 experts Staggering  10 million token context window Natively  multimodal  (text + images) Optimized for single-GPU usage, especially NVIDIA H100   rohan-paul.com +3 en.wikipedia.org +3 llm-stats.com +3 rohan-paul.com rohan-paul.com +2 theverge.com +2 ...