“Revolutionizing OpenAI’s $650B Challenge with Sparse Adaptive Attention ‘MoE’: My Journey Using a £700 GPU” | by Oktawiusz Jerzy Majewski | Oct 2025

Unlocking the Future of Image Restoration: The Adaptive Attention Breakthrough

In the age of AI, image restoration is on a new frontier. With 10,000 epochs of training on my Adaptive Attention architecture, results have exceeded expectations. Here’s what you need to know:

• Testing Setup:

  • Input: Heavily degraded images (low resolution, noise, color errors)
  • Output: Impeccable 512×512 reconstructions
  • Architecture: Adaptive Attention MoE with 3 sparse experts
  • Hardware: RTX 4070 Ti Super

• Performance Highlights:

  • Quality Improvements:
    • PSNR: +4.3 dB (versus dense methods)
    • Speed: 30× faster
  • Visual Results: Perfect reconstructions with no hallucination, retaining natural colors and sharp details.

This innovation proves adaptive compute allocation isn’t just faster—it’s smarter. Are you ready to elevate your understanding of AI and image processing?

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