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In a future where digital data passes through society as easily as blood through the body, a small groups of devotees isolate themselves in dim, soundproof rooms. There, away from the endless flow of generated output, they engage in a long-lost meditative art. The practitioners claim the practice sharpens perception, transports devotees to new lands, and occasionally yields moments of unusual clarity. But it requires persistence, discipline, and sustained attention, qualities increasingly rare in the digital age. The almost monastic order preserves the practice carefully, even as the broader culture dismisses them as rude, reclusive, even reactionary. What is this rebellious act? They read books. Subscribe now

May 25, 2026

Two recent statements, one from Nature Reviews Bioengineering and another from the Modern Language Association, arrive at the same conclusion from different directions: Writing is part of thinking and assessing writing is part of teaching. The Nature editorial makes the cognitive case. Writing forces structure onto ideas. It turns scattered research into a narrative, and in doing so, reveals what the work actually means. If that’s true, then outsourcing writing of scientific works to an LLM is not just a productivity play. It is also a shift that threatens to weaken academic work. Subscribe now The MLA statement makes the institutional case. Assessment is a human act of communication. It depends on context, judgment, and experience. Automating it risks hollowing out the role of the educator and redefining learning as something that can be measured mechanically, without being understood. Both land in the same place. While AI can assist, it should not replace. This lines up with an emerging broader pattern as institutions deal with the rise of generative AI. The real risk is not just hallucination or misplaced confidence. It is the steady removal of the steps where people develop skill. Things like drafting, struggling, revising, interpreting, etc. The parts that feel slow, that provide friction, are often the parts where the most important work is done. This is where an AI coaching model, like the one I’ve been exploring, fits in. When used properly, AI can support the creative thinking and writing process: prompting reflection, offering alternatives, helping organize ideas, etc. Used poorly, generative AI short-circuits that creative struggle process and delivers a shallow answer without the thinking that is needed behind it. Generative AI tools can be used to, as Doug Engelbart said, help people “get better and getting better.” Academia, at least in these cases, is leaning into that approach. That’s a good sign. Subscribe now

May 18, 2026

The erosion of persistence

May 11, 2026

Following links helps clients move. Understanding forms helps clients choose.

May 4, 2026

“Expertise was irrelevant. Conviction was sufficient.”

Apr 27, 2026

Designing agents for stable systems and shifting terrain

Apr 20, 2026

"An AI agent is ..."

Apr 13, 2026

The art of programming isn’t disappearing. It’s moving

Apr 6, 20261 likes

Revisiting a prediction about distributed systems

Mar 30, 20261 likes

Messages are fungible. Meaning is not.

Mar 23, 2026

When computational capability turns into institutional authority

Mar 16, 20263 likes

At the turn of the twentieth century, crowds gathered to watch a horse do something extraordinary.

Mar 9, 20262 likes

AI helps most when it is guided by experience.

Mar 4, 20263 likes

The lessons we should have learned forty years ago

Mar 2, 20261 likes

Because science tells us intelligence starts with what you can do, not what you know.

Feb 27, 20261 likes

Designing intent while change is still cheap

Feb 23, 20261 likes

A field report from the people watching users closely.

Feb 20, 2026

Tools do not fix institutions.

Feb 18, 2026

Clear affordances deliver reliable agents.

Feb 16, 2026

Human-centered AI treats machines as tools, not replacements.

Feb 13, 2026