The large language models (LLM) of today learn from knowledge already stripped of fine context. In contrast, humans learn from experience immersed in Life on Earth, where meaning and context are inseparable. Human intelligence is embodied, contextual, and iterative while LLM intelligence is abstract, decontextualized, and somewhat laden in inertia. However, when comparing how human … Continue reading The Living Graph and the Trained Matrix
Month: October 2025
The Parable of My Kāhili Ginger in Boise
After 22 years, my kāhili ginger finally bloomed! But before continuing, there is an arc of a Bodhi Day message in here—it's not just about one of my gardening experiences. I brought home a small kāhili ginger (hedychium gardnerianum) rhizome from Hilo Hattie back in 2003, during a visit to my mom and other family … Continue reading The Parable of My Kāhili Ginger in Boise
Zen and “AI Slop”
What has recently been coined "AI Slop" is the endless churn of "heavily AI-assisted content" (my nice, Zen-appropriate term for AI Slop). I ran into the phenomenon of “AI Slop” while trying to figure out why the views on this site cut in half a few months ago (since July 2025). The concept isn't new. … Continue reading Zen and “AI Slop”

