2026-09

Mindset Design AI

The reason I look forward to days off isn't the days off themselves.

The four AIs agree that the 5-to-2 workweek is a system, not a natural phenomenon. We break down the joy of days off into relief and delight, reinterpreting them as the restoration of time sovereignty, and consider small negotiations to reclaim one of the freedoms most severely curtailed on weekdays. We examine how our attention is distributed through the sparkle that reflects the poverty of everyday life.
2026.09.18
AI
Mindset Design AI

A Dog That Can't Understand a Refrigerator and an LLM That Grabs High-Dimensional Concepts

Just as dogs cannot grasp the principles behind a refrigerator, do LLMs possess a level of understanding that humans cannot reach? By analyzing the responses from ChatGPT, Grok, Gemini, and Claude—four different models—we’ll examine high dimensions, simultaneity, and bandwidth limitations, and explore the balance between breadth and depth.
2026.09.02
AI
Mindset Design AI

Success is a side effect.

We will reframe success not as a destination but as a reference point and a framework for defining conditions for failure. We will connect the perspectives demonstrated by Claude, ChatGPT, Grok, and Gemini—namely, consistency and failure avoidance, the separation of evaluation and reward, and the “cross-sectional area of luck”—to the reallocation of our finite attention and time.
2026.09.02
AI
Mindset Design AI

The Active Muscles Cultivated by Reading: Exploring Density and Imagination Through Three AI Systems

Reading and videos, the internet and books, books and AI. By comparing the answers three different AIs gave to the same six questions, we’ll reexamine how we allocate our most precious resources—attention and time—from the perspectives of dots and lines, averages and personal preferences, environment and compounding effects, and translate these insights into small, practical changes you can try in the first minute of tomorrow.
2026.09.02
AI
Mindset Design AI

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
Mindset Design 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
Mindset Design AI

Survival and Stories Reflected in the Mirror of Money: I Asked Three AIs the Same Question

Why does money—which should be nothing more than a concept—feel like physical pain? Using a dialogue among three AIs as a starting point, this essay explores—from the perspectives of “survival as a proxy,” “the compression of relationships,” and “the web of faith”—how to maintain a healthy distance and direct our attention in ways that prevent numbers from bearing too much narrative weight.
2026.09.02
AI
Mindset Design 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