PKMastery

Personal knowledge mastery

continuing to step aside

by

I am not ignoring new technologies in the ‘AI’ field, but I believe there is a real need for people to get better at communicating and making sense with other people. Well that is what I wrote early last year in stepping aside. What have I learned since then?

I still have not found any use for generative AI in my own work.

The rush to implement generative AI in the workplace is leading to massive job cuts especially amongst software programmers. The perfect storm of neo-liberalism and automation continues to tear up 20th century social contracts.

Read more

the outrage continues

by

Five years ago I wrote about the tendency on the web to tend toward constant doubt and outrage. Now, five years late, that trend continues, exacerbated by the platform monopolists who understand that outrage sells more advertising. I wrote that social media have created a worldwide Dunning-Kruger effect. Our collective self-perception of knowledge acquired through social media is greater than it actually is. And the outrage continues because we ignore our common humanity. We do.

I concluded that as we become more connected we should not be cutting out social media, instead we should be using them in smarter ways. Today we all have to work and live smarter, by connecting to our networks and communities. These are essential to ensure that we do not become drowned out by the noise of the Internet of Beefs.

Read more

meta skills

by

[Demis] Hassabis [CEO of Google’s DeepMind, Nobel Prize winner in Chemistry 2024] emphasized the need for “meta-skills,” such as understanding how to learn and optimizing one’s approach to new subjects, alongside traditional disciplines like math, science and humanities. —AP 2025-09-12

In the third bucket I discussed a conversation I had with a senior Human Resources executive at a large corporation in 2016. He noted that when it comes to managing people and their talents, there are three buckets. Two of these are easy to fill, while the third is the real challenge:

Read more

sensemaking through the slop

by

The image below is one I have often used in explaining sensemaking with the PKM framework. It describes how we can use different types of filters to seek information and knowledge and then apply this by doing and creating, and then share, with added value, what we have learned. One emerging challenge today is that our algorithmic knowledge filters are becoming dominated by the output of generative pre-trained transformers based on large language models. And more and more, these are generating AI slop. Which means that machine filters, like our search engines, are no longer trusted sources of information.

As a result, we have to build better human filters — experts, and subject matter networks.

Read more

rebuilding trust one catalyst at a time

by

I have worked in the fields of human performance improvement, social learning, collaboration, and sensemaking for several decades. Currently in all of these fields the dominant discussion is about using and integrating generative artificial intelligence [AKA machine learning] using large language models. I am not seeing many discussions about improving individual human intelligence or our collective intelligence. My personal knowledge mastery workshops focus on these and leave AI as a side issue when we discuss tools near the end of each workshop. There is enough to deal with in improving how we seek, make sense of, and share our knowledge.

Read more

intractable human problems

by

The current hype around ‘artificial intelligence’ in the form of generative pre-trained transformers and large language models is impossible to avoid. However, I have yet to try any of these out other than two questions posed to Sanctum.ai — auto-marketing — on my computer and not on some cloud. So far, these are my reasons for not jumping on this bandwagon.

Read more

fields of knowledge

by

Stay in your lane. Stick to your knitting. These are perhaps the worst cliché words of advice anyone can give in our interconnected, networked world.

For much of history, particularly since The Enlightenment, our societies have been quite adept at creating classifications and creating fields of work and study.

At the end of the day, fields represent a specific kind of research machinery: a collection of rallying cries, norms, funders, and bureaucratic arrangements that are designed to output new insights about the world at large. Fields rise and fall on the strength of their ability to deliver knowledge and useful ideas. Researchers – particularly the good ones – coalesce around productive fields because they are also the most effective engines for pursuing the questions they want to pursue. At the end of the day, that is what matters. —Field Essentialism

Fields are often created to be useful but they can also be used for power and control. I remember visiting the Apartheid Museum in South Africa and one of the rooms showed all the laws around race that had been in place during the apartheid regime. These started as a few laws but more kept being added as there was no way to make a complex field merely complicated.

Read more

our sovereign territory

by

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

Read more

PKM Summit

by

I just presented at the first annual European PKM Summit, with a formal presentation yesterday and a casual chat today. Next year’s summit is scheduled for 14/15 March 2025. Some of what I covered is posted at 20 years of PKM. I mentioned several projects and resources which are available on this site.

Read more

just another blog

by

I write this blog mostly for myself, though it’s great to have people join in and create conversations.

“But there’s also a part of writing, of online writing particularly, blogging, that’s all the humble without the security, that’s full of risk, that’s vulnerable even if what you’re saying isn’t necessarily personal or deeply meaningful or anything you or anyone else even really cares about. This thing we do, blogging, is crazy. Really. What a trip, what a concept, what an experience. It’s a place where the public share is instant and your little words can tromp their way across the world before you have time to regret it.”—Annie Mueller

I highly recommend reading all of Annie’s blog post — it’s just a blog (thanks to Euan Semple and Chris Corrigan for highlighting Annie’s work)

Read more