learning & innovating networks

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Innovation comes from the edge, almost never from the centre, I wrote in moving to the edges (2014). But I noted that our inherent —  human — need for a sense of belonging can keep us in the centre and detract us from thinking critically and questioning the assumptions of our existing structures. While some organizations may have the software networks in place for knowledge sharing to and from the edges, most do not give time and space for deep thinking, as I mentioned in my last post on meaningful work. This certainly slows any insights from the edges getting to the centre.

Deep thinking often comes from those periods when we are not distracted by our to-do lists or running from meeting to meeting. Adam Kahane remarked that, “almost everything I’ve learned is through the disciplined examination of my experience” as well as an approach of, “looking for disconfirming data, as Charles Darwin did”. This is not possible with a continuously overflowing inbox. My colleague and friend Jay Cross understood this.

“Visualize the workflow of a physical job: produce, produce, produce, produce, produce, produce, produce, produce, produce.

Now visualize the workflow of a creative knowledge worker: nothing, nothing, nothing, nothing, flash of brilliance, nothing, nothing, nothing.”
—Jay Cross

‘Nothing’ time is for deep thinking.

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GPT-3 through a glass darkly

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I have been using the tetrad (four sides) derived from Marshall & Eric McLuhan’s Laws of Media for several decades. I find it useful for examining emerging technologies, beyond the hype. For example, according to Derrick de Kerckhove, Director of the McLuhan Program in Culture & Technology at the University of Toronto, the Laws of Media state that every new medium (or technology in the broader sense of the word):

• extends a human property (the car extends the foot);

• obsolesces the previous medium by turning it into a sport or an form of art (the automobile turns horses and carriages into sports);

• retrieves a much older medium that was obsolesced before (the automobile brings back the shining armour of the chevalier);

• flips or reverses its properties into the opposite effect when pushed to its limits (the automobile, when there are too many of them, create traffic jams, that is total paralysis)

Here is what that tetrad could look like.

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meaningful work

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Kourosh Dini says that, “Mastery and meaningful work develop from guided play.” This is pretty well the direction behind my personal knowledge mastery framework and the notion of ‘half-baked ideas‘.

“There is an error in our focus on productivity. I may even be labeled as a productivity talking-head. I’ve more than likely made the error myself.

The error is that the focus should not be on productivity so much as it is on mastery.

Mastery is a process, a development over time for something you care about. That could be your family or that could be a craft.

This way, you choose the thing or things you are mastering and the remainder of your world is around supporting those. You don’t need to master everything, so much as take them to a point of being strong enough to support what you find meaningful.

Secondly, I strongly believe that mastery absolutely requires play.” —Being Productive 2022-12-05

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“the future cracked open”

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Race Bannon sees AI (or really machine learning) changing many jobs, such as technical writing, in the near future.

“I believe within 5-10 years much of technical documentation will be written by AI. Certainly, the basic procedural stuff (Step 1, Step 2, and so on) will be written by AI, but even the contextual stuff surrounding the procedural documentation (use cases, examples, and implementation tips) will be written by AI eventually too.” —The Future of Technical Writing

In The Atlantic, Derek Thompson thinks that creativity will not save our jobs from AI.

We may be in a “golden age” of AI, as many have claimed. But we are also in a golden age of grifters and Potemkin inventions and aphoristic nincompoops posing as techno-oracles. The dawn of generative AI that I envision will not necessarily come to pass. So far, this technology hasn’t replaced any journalists, or created any best-selling books or video games, or designed some sparkling-water advertisement, much less invented a horrible new form of cancer. But you don’t need a wild imagination to see that the future cracked open by these technologies is full of awful and awesome possibilities. —The Atlantic 2022-12-01

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exit left authoritarian father figure

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John Batelle notes that many of the thousands of people who were fired from or have left Twitter after Musk’s purchase of the company were women. He provides links to the profiles of 17 of these women.

“Twitter was probably the most intentionally open, accommodating, and thoughtful work culture the Valley has ever produced at scale. And it’s not a coincidence that a healthy percentage of Twitter’s senior executives were women. Nor is it a coincidence that nearly all of them have left. I started keeping a list of the extraordinary women I worked with over the past few years who have recently departed the company. And just for posterity, and perhaps for you all to add to, I present it here. Think about all the men cheering on Elon’s ‘Hardcore’ philosophy, who agree with him that the people below, and countless others, are unnecessary. Read through these names, click on their profiles, and ponder the roles they played in the nuanced ecosystem Twitter once was.” —John Batelle 2022-11-28

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PKM in perpetual beta

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I recently wrote — from platforms to covenants — that I firmly believe that open protocols connecting small pieces loosely joined is a better framework than any privately owned social media platform. Twitter was just too darned easy for many years. I am now connecting more on Mastodon though I have not mastered all of its functions. Mastodon is an open protocol and anyone can put up a server and connect to what is called the ‘fediverse’, a federated network of hosts using the protocol.

During the past decade I have used Twitter as an aid to learn about social networks on my personal knowledge mastery online workshops. As Twitter continues to not only crash and burn but reinstate accounts that promote hatred, I no longer wish to advocate for any use of the platform. I am still there, for now, as I am connected to so many friends and colleagues.

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revisiting self-determination theory

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Self-determination theory states that there are three universal human drivers — autonomy, competence, and relatedness. We need some control over our lives, we want to be good at something, and we want to feel that we can relate to other people. These three drivers are what make us do what we do. Skills are just one aspect of being engaged at work. Even highly competent skilled workers can be disengaged or aimless.

One effect of the network era, and its pervasive digital connections, is that networks are replacing or subverting more traditional hierarchies. Three aspects of this effect are — access to almost unlimited information, the ability for almost anyone to self-publish, and limitless opportunities for ridiculously easy group-forming.

Clay Shirky discussed this third aspect in Here Comes Everybody (2008).

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the knowledge artisan era

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An artisan (craftsperson) is a skilled manual worker in a particular craft, using specialized tools and machinery. Artisans were the dominant producers of goods before the Industrial Revolution. ABC Co. are the Artisans of the post-Industrial era, retrieving old world care and attention to detail, but using the latest tools and processes. To ensure that we stay current, we are members of various Open Source Guilds, such as the Drupal development community. —ABC Co. Business Plan 2005 (PDF)

I wrote the ABC Co. business plan for a small company with several years of development experience that had embraced open source software as a way to reduce customer costs, ensure long-term stability of their software, and focus on what they did best — custom development. As Ton Zylstra remarked in 2010, too often skilled workers are treated like replaceable cogs using standard, employer-provided tools.

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voices of the people

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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.

“Smart people don’t learn because they have too much invested in proving what they know and avoiding being seen as not knowing.” —Chris Argyris

Vox populi, vox Dei

An early reference to the expression is in a letter from Alcuin to Charlemagne in 798. The full quotation from Alcuin [of York] reads:

Nec audiendi qui solent dicere, Vox populi, vox Dei, quum tumultuositas vulgi semper insaniae proxima sit.

[Translation] And those people should not be listened to who keep saying the voice of the people is the voice of God, since the riotousness of the crowd is always very close to madness.

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an agile sensemaking framework

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Agile sensemaking could be described as how we make sense of complex challenges by interacting with others and sharing knowledge. More diverse and open knowledge flows enable more rapid sensemaking. I discussed the idea of agile sensemaking in 2018 and later created a sensemaking model (framework). This week on Twitter [yes, it’s still there], Ismael Peña-López shared how the framework resonates for him.

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