From the design of AI to its responses, attention has often been oriented towards fitting into the "bits & bytes" mechanics ('This is how we code file systems/logic gates/etc... Now let's fit this idea of AI into this paradigm.'), when LLMs (large language models) are inherently, messily human. What if we shifted our orientation to look at how humans exist multidimensionally, and then tried to build a similar multi-system integration into AI? From human memory to our ideas of right and wrong.

Resources & Notes:

Human Memory Was Never A Filing System by A. E. Larrson (@aelarrson)

Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge, and the Teachings of Plants by Robin Wall Kimmerer

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit heldinmotion.substack.com