a reversal to tribalism

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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working for capitalists

The automation of human work is an ongoing objective of our capitalist systems. Our accounting practices amortize machines while listing people as costs, which keeps the power of labour down. The machines do not even have to be as good as a person, due to our bookkeeping systems that treat labour and capital differently. Labour is a cost while capital is an investment. Indeed, automation + capitalism = a perfect storm.

Recently, The Verge reported that the CEO of Shopify, an online commerce platform, told employees — ‘Before asking for more Headcount and resources, teams must demonstrate why they cannot get what they want done using AI.’ The underlying, completely misinformed assumption being that large language models and generative pre-trained transformers are as effective at thinking and working as humans.

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a new understanding of my confusion

In my last post on adapting to chaos I asked — what changes in our sensemaking practices should we incorporate to adapt to a world that is often more chaotic than complex? I received 12 comments here and another ten comments on LinkedIn. Confusion was one theme commented upon and Chris Corrigan referenced an excellent post on that topic — escaping confusion.

In the domain of Confusion the first and most important action, I believe, is an awareness that you are there. Without awareness you are lost. Any action that you undertake from that place is likely to be based on conditioning without any sensitivity to your context and that can be incredibly dangerous. In fact if you look at Dave’s central domain map you will see that Confusion is adjacent to the Clear, Complicated, and Chaotic domains. The division of the central domain into Confusion and Aporia implies that you cannot get to Complex from Confusion without taking what Dave [Snowden] calls the Aporetic Turn.

Nollind Wachell, with whom I had many discussion on Google+ several years ago, commented that,  “In effect, often true growth and development doesn’t occur without some form of pain and suffering because it’s needed to wake a person up, slow them down, and help them perceive and see things that they were blind to before. Something that I think needs to happen (ie an awakening) in not just America but in many places around the world, Canada included.” Perhaps we need the shock of confusion in order to move toward Aporia and then wake up. Nollind also suggested a 2007 MPRA paper, Triple-Loop Learning as Foundation for Profound Change, Individual Cultivation, and Radical Innovation.

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every medium reverses its properties when pushed to its limits

In 2018  — seeing the figure through the ground — I used the Laws of Media developed by Marshall and Eric McLuhan to examine the impact of social media. McLuhan’s Laws state that every medium (technology) used by people has four effects. Every medium extends a human property, obsolesces the previous medium (& often makes it a luxury good), retrieves a much older medium, and reverses its properties when pushed to its limits. These four aspects are known as the media tetrad.

This image was the resulting tetrad.

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unintended but not unknown

From The Guardian — Not quite religion, not quite self-help: welcome to the Jordan Peterson age of nonsense.

But living on social media, seeing the world through its lens, is like returning to a pre-information age. First, because everything is current. Records of previous discussions fade quickly – miss a day and it is almost impossible to catch up. Instead, as with cycles of oral history, memories of the past are collective and mutable.

As history fades, so does truth itself. If information is about extracting signal from noise, social media is about turning up the noise. Among the flow of dubious facts, it can be hard to determine which to cling to. Meanwhile, mob mentality ramps up the risk of speaking up against the beliefs of a large group.

It is in such environments that meaning becomes tribal. Your beliefs are not really about the external facts, but about which group you identify with. People rely less on their own capacity for reason and more on each other. This is the petri dish from which systems of faith have always tended to arise. —Martha Gill, 2024-11-24

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defeated by the pandemic

Following up from yesterday’s post — fix the networks — this presentation at XOXO Festival 2024, by Ed Yong tells the story about how the pandemic defeated him. Yong wrote many articles focused on making sense of the pandemic for The Atlantic from 2020. In 2021 Yong won the Pulitzer Prize for explanatory reporting. His first premise is that succeeding or failing to deal with a pandemic is a choice.

For me, just the fact that Yong wears a N95 respirator mask while presenting, makes this worth watching. It’s real leadership by example. With no previous journalistic experience, Yong set some rules for himself, especially after winning the Pulitzer. These are good rules for any writer.

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fix the networks

Erin Kissane, in a presentation at XOXO Festival 2024, discusses how Twitter was instrumental in crowd-sourcing a wide variety of experts to understand what was happening early in the Covid pandemic. Twitter enabled many ‘rando’, or loose social connections which resulted in the Covid Tracking Project that was ahead of the CDC and other official sources of public health information. But as Kissane states, “It’s a mark of institutional failure to leave your public health crisis data in the hands of amateurs and volunteers.” That has been the ongoing state of affairs in most Western countries, Canada included.

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our sovereign territory

Joan Westenberg promotes the idea of POSSE (publish on your own site & syndicate elsewhere) or what I have called social media’s home base — blogs. This may be just another blog, but it’s mine. Westenberg also promotes real simple syndication (RSS). So do I. Therefore, the idea that, “curation is the last hope of intelligent discourse” resonated with me.

As algorithms churn out vast quantities of information with varying degrees of accuracy and quality, the discerning judgment of human curators is the only defence against the tide of misinformation and mediocrity. Human curators bring nuanced understanding, contextual awareness, and ethical judgment to the table—qualities that AI, in its current state, is fundamentally unable to replicate.

Human curators can distinguish between nuanced arguments, recognise cultural subtleties, and evaluate the credibility of sources in ways that algorithms cannot. This human touch is essential for maintaining the integrity of our information ecosystem. It serves not only as a filter for quality but also as a signal for meaningful and trustworthy content amidst the overwhelming noise generated by AI systems. —Joan Westenberg 2024-01-10

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liquid leadership

In a digitally interconnected world, those in positions of leadership should focus on helping their networks become smarter, more resilient, and able to make better decisions. Networks move information faster than institutions or markets. While the Cluetrain Manifesto (1999) stated that markets are conversations, today networks are memes that spread instantaneously, without conversation. The borderless and liquid transmission of information makes for a global oral cacophony.

After four years, no government has stepped-up to make us smarter in dealing with the SARS-2 virus. The pandemic continues and people keep dying and more people are condemned to live with the still incurable Long Covid.

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automation, algorithms, and us

In March 2023 I wrote — understanding the hype and hope — of AI and I highlighted several insights from various experts.

The Good

  • “With an LLM even a problem with only one user, will be doable, enter your ask, and code gets written, problem gets solved. Runtime ends, app dies. Done. Single use apps are born.” —Linus Ekenstam
  • US Copyright Office —  “ … it is well-established that copyright can protect only material that is the product of human creativity.”
  • «And in ChatGPT + Wolfram we’re now able to leverage the whole stack: from the pure “statistical neural net” of ChatGPT, through the “computationally anchored” natural language understanding of Wolfram|Alpha, to the whole computational language and computational knowledge of Wolfram Language.» —Stephen Wolfram
  • “Allen & Overy (A&O), the leading international law firm, has broken new ground by integrating Harvey, the innovative artificial intelligence platform built on a version of Open AI’s latest models enhanced for legal work, into its global practice.”—David Wakeling

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