bet on solar not AI

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On the last Friday of each month I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.

“Those who love how machines ‘think’ tend to think like machines themselves.” —Fiona Tribe

Software engineering in 2026 be like “we need you to be physically present in the office so we can replace you with AI” —Tilton Raccoon

“No, I don’t want an AI assisted experience. I want clean air, forests, and a future for the next generation.” —Greenpeace

Oh, sure—when *the company* automates my job and keeps collecting the profits, that’s “innovation,” but when *I* automate my job and keep collecting a paycheck, that’s “time clock fraud.” —Max Leibman

Gall’s Law: “A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over with a working simple system.” —Antoine Buteau

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it’s political

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Everything is political — even the learning organization.

Peter Senge’s development of the fifth discipline has informed much of my work around workplace learning for three decades. Sheila Damodaran takes a deep look at this seminal book.

The Five Disciplines were not assembled aesthetically. They were assembled structurally — each closing a vulnerability left open by the others, each compensating for a failure mode observable in real institutions.

—Systems Thinking prevented local optimisation from masquerading as improvement.
—Personal Mastery prevented aspiration from collapsing under institutional pressure.
—Mental Models prevented inherited assumptions from hardening into policy dogma.
—Team Learning prevented the conversation from degenerating into positional defence.
—Shared Vision prevented purpose from fragmenting into departmental ambition.

Remove one, and drift begins.

Emphasise one at the expense of others, and imbalance follows.
—The Fifth Discipline at Thirty-Five — Lineage, Surge, and Scale

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“let the discourse rage without you”

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Joan Westenberg covers a lot of ground in the post the discourse is a distributed denial-of-service attack. I will try to summarize and highlight what I found of importance.

A DDOS is an attack on a web server in an attempt to overload it so it can no longer function. The case that Westenberg refers to is one where thousands of internet devices — not necessarily computers — were pointed at the website of security expert Brian Krebs. As a side note, I would recommend Krebs’ Mastodon feed.

Westenberg goes on to show that the online social media space has become a massive distributed denial-of-service — for our collective brains. There is so much information — not all fake news but a lot of false information shared by people — that vies for our attention and we cannot cope with it.

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a reversal to tribalism

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In 2017 — we need faith in the future — I wrote that we are stuck between the Market and the Network era — citing the TIMN model — with significant yearnings in certain sectors to go back to our insular Tribal ways. While the Tribal form may be comforting, its structure threatens the foundations of democracy. And I felt that we were stuck in a period similar to the early era of the printing press. Printed books enabled the Protestant reformation which flamed conflicts like the European wars of religion, and only many years later developed into the scientific revolution and the Enlightenment. A reversion to Tribalism in our times may result in a period similar to the tumultuous 16th and early 17th centuries in Europe.

With the continuing release of the Epstein files, it looks like the reversal to tribalism is in full swing.

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perpetual beta interview

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I was recently interviewed by Felipe Zamana which was published under the aptly named title of perpetual beta. It’s been a while since I have had an interview so it was a chance to reflect on where I have been, where I am, and perhaps where I am going.

tl;dr …

First of all, I noted how my blog gave me everything, a theme I have riffed on a few times here over the past 23 years. I also described how those heady days of connecting through blogs, and later Twitter, have now morphed into something much less captivating and often concerning. Felipe refers to my recent post on writing by humans, for humans which reflects my current thoughts on learning out loud through the written medium. I also talked about how the Seek > Sense > Share framework has recently helped me make sense of the complexities surrounding a proposed methane gas-burning electric generating station in our town and my involvement with the Protect the Chignecto Isthmus Coalition.

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“ironic points of light”

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On the last Friday of each month I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.

“Rights aren’t rights if they can be taken away. They’re privileges. That’s all we’ve ever had in this country: A bill of temporary privileges. And if you read the news, even badly, you know that the list gets shorter and shorter” —George Carlin

“GenAI sits at the intersection of fascism, capitalism, labor, climate change, and environmental degradation. It is the quintessential technology of our time, the epitome of our current struggles. Defeating it is the key to defeating capital.” —Ben Lockwood

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learning really is the work

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Knowledge flows at the speed of trust. What happens when we cannot trust the sources that inform our knowledge? How much information is now polluted with AI slop? Was that image we just saw manipulated or created by generative AI tools?

In this world of mass information manipulation, learning really is the work. That learning is becoming more dependent on trusted relationships with other people. As organizations large and small rely more on generative AI tools to produce media, we need to become story skeptics. As we continue to encounter more disorientation we have to rely on communities and networks of trust to make sense.

But communities can have their dark sides — they can strengthen bias, reinforce prejudice, and even make hate socially acceptable. Diverse knowledge networks can counteract the group-think that may emerge in communities. To make sense of our complex, chaotic, and fake-media-rich world, we need both networks and communities.

Finding and participating in communities needs to be coupled with a willingness to explore messier networks to understand different perspective. Real learning is not abstract. It can be painful. It requires engagement with others. Real learning is how we are going to somehow get through the messes we all face today — it’s called personal knowledge mastery.

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disorientation and exploration

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“We become what we behold. We shape our tools and then our tools shape us.” —Father John Culkin (1967) A Schoolman’s Guide to Marshall McLuhan

Disorientation and exploration are essential for human learning. By using Generative AI (GPT/LLM) are we bypassing these two stages of learning in search of efficiency and robotic productivity?

“John Nosta, founder of the NostaLab think tank, says AI trains humans to think backward by providing answers before they understand.” — link via Archiv.Today

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sleepy subversion

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Over ten years ago I wrote that we need to flip the office. Instead of going to work, we should be going to socialize, converse, and collaborate. Productive solo time is not for the office. Knowledge workers can be productive anywhere but at the office. This is just as pertinent today. There are times when people need to be together, though with video conferencing and proper meeting management we can get a lot done with distributed work.

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better than good enough

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In 2012 Ross Dawson observed that “in a connected world, unless your skills are world-class, you are a commodity”. Fast forward to the dawn of 2026:

Here’s what AI did. It drove the cost of nearly every signal to zero. Resumes used to cost time and thought. Now they cost a prompt. Cover letters used to reveal how someone thinks. Now they reveal which model they used. But companies did the same thing. They replaced judgment with AI screeners. Now you have two AIs talking to each other. One generating signals. One evaluating them. Neither connected to anything real. —David Arnoux

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