On digestion, going slow and whether the custom AI model still matters

Everything I’ve focused on since the start of this year is parsing though software and subscriptions within this current life. A deep consideration has grown in me for the processes of context held within a pixel’s weight. By inspecting the faucets of data and streams from their source, I can now amplify space for compare & contrast, building a focused delineation into a brighter je ne sais quoi. By developing harnesses (more than just for horses) I find there are endless tuned connections & directions that can be utilized to preserve and develop anew.

As a collector/researcher I think it’s incredibly useful in both ways. Can’t say I lean towards one or the other but I think training is really important (for artists and non-artists).

This is a really good question. I’m now working on a book, soon to be released, that I wrote using different AI systems from 2024 to 2026, about the literary creative process. I distinctly see AI as a digestive organ that I can feed with pieces of literature, philosophical biases, elements of popular culture, and political orientations, and regurgitate fascinating literary content.

I am on the same page with you about training your own models .

Still.

Or maybe especially now.

When the differences between next best models are so negligible, and when people are tired of the visual stimulus, I’m losing interest in the “interesting image” . Designing the system is where so much more can be done and told.