Dopamine

Living in the Modern World with a Hunter-Gatherer's Body: Three AIs Interpret the Mismatch and Reproduce the Input

Based on the premise that 99 percent of human history has been spent as hunter-gatherers, three AI systems offer insights into the mismatch between our modern bodies and brains. They analyze factors such as movement, hunger, delayed rewards, a return to nature, herd size, and the misalignment between light and sleep from the perspective of replicating these inputs, and explore ways to reallocate attention and time.

2026.09.02

AI

Suffering Wasn’t a Bug: Four AIs Unravel the Structure of Attachment

Suffering is not a bug, but a control signal for living. By overlaying the prediction errors and smoke detector principle demonstrated by ChatGPT, Grok, Claude, and Gemini with Buddhist teachings on attachment, I explore the distinction between primary pain and secondary amplification to determine where to allocate our finite attention.

2026.09.02

AI

"Quick to get excited, quick to lose interest" Was Just Part of the Design: How Four AI Systems Solved the Problem of Attention Allocation

Being quick to get excited and quick to lose interest is not a flaw—it’s by design. By examining reward prediction errors, habituation, and predictive coding in four AI systems—ChatGPT, Claude, Gemini, and Grok—we explore ways to reallocate the finite resource of attention and design strategies for retention and churn.

2026.09.02

AI

Knowing When You Have Enough

"Does reducing stimulation make life boring?" To this question, the conclusion reached by the three major AIs was "Change the quality of stimulation." From consumption dopamine to creation dopamine. The true nature of boredom and concrete design theories to overcome it.

2026.02.07

AI