To look beyond what we call 'Artificial Intelligence (A.I)' or even 'Artificial General Intelligence (A.G.I)' is, it makes sense to first understand the underlying technologies, where it came from and what is it good for or maybe isn't. From this understanding as a basis we can then extract real world value. We will then look into possible sustainable real world uses of the technologies.

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I've been using Stable Diffusion a lot lately for image generation and inspiration. It can generate images by textural description and generates images that have been previously unseen. Naturally you wonder how that works. This has led me down a path of recapitulating tricks from the A.I field that I've come across over the years.

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