Deep Daze is a text-to-image generation tool that optimizes implicit neural representations (Siren networks) guided by CLIP visual-semantic similarity. Users provide text prompts via command line, and the system iteratively updates an image representation to maximize similarity with the text embedding, producing novel images matching the description.