It's less than three weeks until Bodhi Day—Monday, December 8, 2025. But we should prepare our minds well before that. This blog is an offering towards that purpose. I list a number of concepts that give us hope and appeal to our stubborn logical minds. There is much more to this world than just what … Continue reading Bodhi Day 2025 Prep – Truths of Reality Beyond Sentience
Category: Zen
The Living Graph and the Trained Matrix
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
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”
AI Judo: Focus, Edges, and Awareness
Judo and its cousins, Jiujitsu and Aikido, have made much headway into Western culture in terms of sport and philosophy. We've incorporated saying such as “if pushed, pull; if pulled, push” and "use your opponent's energy against them". Additionally, "xxx jiujitsu" is another form that's become cliche. For example: Marketing jiujitsu—Taking a competitor’s message and … Continue reading AI Judo: Focus, Edges, and Awareness
Music Bodhi Day – Four-Year Update
I wrote a book this year. It's a fairly big book on artificial intelligence. All along, and even after it was published, people told me no one will read such a big book. I agree with them. I usually choose watching a 15 minute video over an hour video on the same subject. Better yet, … Continue reading Music Bodhi Day – Four-Year Update
End of the Maintained Trail
Don't worry. As you can see, the trail does continue on. When I met the Eternal Fishnu in 2017, he explained to me that he is the ith manifestation of Vishnu, the "Buddha of the Devonian", overseeing the transformation of fish to land vertebrates that eventually lead to us. I asked why he is here. … Continue reading End of the Maintained Trail
The Process of Intelligence
As we stand in an era defined by AI, the philosophical implications of AI tools from past eras become increasingly profound. For example, the old language, Prolog—the star of the 1980s/1990s era of Expert System. Today's AI, particularly large language models (LLMs such as ChatGPT), come as close as we've ever seen to something human … Continue reading The Process of Intelligence
The Yin and Yang of A.I.
Black implies white, life implies death, self implies other, fear implies courage, action implies time, and Yin implies Yang. In the world of artificial intelligence (AI), Large Language Models (LLMs) imply knowledge graphs (KG). (Paraphrasing Alan Watts.) This current "AI summer" is dominated by LLMs such as ChatGPT, Gemini, Grok, and LLama. But the dominant … Continue reading The Yin and Yang of A.I.
Five Aggregates of Machine Learning
In one of the foundational concepts of Buddhist philosophy, the Five Aggregates, we unsurprisingly (at least to me) find counterparts in the world of machine learning (ML) and artificial intelligence (AI). Genuine AI is currently beyond the large language models (LLM - ex. ChatGPT, Grok, Gemini) that have become very familiar to us over the … Continue reading Five Aggregates of Machine Learning


