#knowledgemanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #knowledgemanagement, aggregated by home.social.
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“Our job title is still “Technical Writer.” But the work we actually do today is much closer to designing an organization’s knowledge infrastructure. We didn’t set out to redefine the role. We simply followed the problems that needed solving, and ended up redrawing the boundaries of the job along the way. Before we knew it, we had created a role that didn’t quite exist anywhere else in the industry.
And this shift isn’t unique to Technical Writing. AI is redefining the work of every profession. In such an environment, anyone can expand the boundaries of their role. Our chapter started with one person. Now there are three of us, and we’re looking for more people to join us. Over the course of this series, we’ll share how we got here, one story at a time.”
https://toss.tech/article/technical-writing-1-eng
#TechnicalWriting #KnowledgeManagement #KnowledgeEngineering #SoftwareDocumentation #SoftwareDevelopment #AI #GenerativeAI #LLMs
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Here is the paradox I keep running into.
A well exercised reading habit makes you better at using AI, because you can frame the input and judge the output. And AI is the easiest way to stop exercising it. Read the summary, skip the book.
Where do you draw your own line between using it and leaning on it?
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From my slip-box, written after a conversation with Claude: my thinking shapes the AI's response, and its response alters my thinking. A cognitive feedback loop.
The upside is a perspective other than my own. The catch is that it is roughly the human average, and research suggests work made by human and AI together is less diverse than work made by humans alone.
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📊 There’s plenty of data – what matters is what we learn from it.
Join our Galaxy Deep Dive to see how BlueSpice Galaxy turns wiki data into clear insights with spreadsheets, charts, and dashboards.
📅 Sept. 17, 2026
🕑 2–2:30 p.m. CEST
💻 Free & online👉 Register: https://bluespice.com/visualizing-data-in-the-wiki-with-spreadsheets-charts-and-dashboards/
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Offloading to a technology is not, on its own, the problem.
Writing offloaded our memory and we spent the freed capacity on thinking. Turning speech into flat, concrete, written words forces you to think, so the trade paid for itself.
Generative AI offloads the thinking. So what do you spend the freed capacity on?
From this week's post: https://www.ctnet.co.uk/downsides-of-writing-ai/
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Socrates argued that writing would damage our memory. He was right, and we only know he said it because his student wrote it down.
We made that trade so long ago we no longer notice we made it. Which matters, because we are being offered another one.
New post tomorrow, the last in my Writing as a Technology series.
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🔐 Don’t just protect your systems. Protect your knowledge. 🔐
From October 27–29, 2026, we’ll be at it-sa in Nuremberg. Meet us in hall 7 at booth 352!
At the event, we’ll be discussing topics such as:
➡️ Migration to BlueSpice
➡️ BlueSpice Galaxy👉 Find all the information here: https://bluespice.com/bluespice-at-it-sa/
#itsa2026 #Cybersecurity #ITSecurity #KnowledgeManagement #BlueSpice #BlueSpiceGalaxy #Migration #OpenSource
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Same question, different user, different answer, by design!
An admin asks about executive pay and gets a cited answer. A regular employee asks the same and honestly gets none: your #MediaWiki chatbot only ever draws on pages the asking user may read.
No separate permission system: your wiki's existing permissions decide what it may use to answer. Confidential pages stay confidential.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
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Large language models are trained on massive datasets of human writing. Shakespeare, the philosophers, Einstein's papers, and who knows, maybe even my blog.
So what many of us think of as our most cutting-edge technology learns by using an invention that is roughly 5,500 years old.
From this week's post: https://www.ctnet.co.uk/most-important-invention-writing/
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A file is rarely useful on its own.
People also need to know why it exists, who owns it, which process it belongs to, who can edit it and whether it is still current.
That is the interesting part of combining @CollaboraOffice with XWiki: office documents stay editable, but they also live inside a structured knowledge context.
Join the free webinar we're hosting with Collabora and learn how:
https://xwiki.com/en/webinars/Break-down-knowledge-silos-with-XWiki-and-Collabora
#OpenSource #KnowledgeManagement -
An AI agent's skills are unlimited — but every one still sits in a catalogue you carry on every request. That's the hidden tax nobody talks about.
So I don't delete what I'm not using. I archive it: off the shelf, never destroyed, one click to bring back.
Why the archive is a safety net, not memory loss: #AI #Skills #KnowledgeManagement
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What is the most important invention in human history?
The wheel and fire usually get the votes, sometimes the printing press or the Internet. My answer is the one you are using to read this sentence.
New post tomorrow, the second in my Writing as a Technology series.
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Post 1 of 3 in my Writing as a Technology series went out on Monday.
The argument so far: we evolved to speak, but reading and writing are human made systems that have to be taught to every new generation. That makes them technology.
Next week I look at where writing ranks against every other technology we have invented. I think it comes out top.
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BlueSpice at Smart Country Convention 2026
📅 Oct 13–15, 2026
📍 Messe Berlin | Hall 25 | Booth 224Discover how BlueSpice Galaxy, AI and modern migration solutions are shaping the future of knowledge management for the public sector.
We look forward to seeing you in Berlin! 🤝
https://bluespice.com/bluespice-at-the-smart-country-convention-2026/#SCCon26 #KnowledgeManagement #DigitalGovernment #AI #BlueSpice
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Is your documentation actually ready for AI?
Before connecting AI to your knowledge base, check the foundation:
❌ Incomplete pages
❌ Inconsistent structure
❌ Outdated content
❌ Loose notes with no contextAI will not fix messy knowledge. It can make incomplete answers sound more confident.
Good AI starts with knowledge people can already trust: structured, current, owned, and governed.
XWiki MCP server early access:
https://xwiki.com/en/MCPServer/ -
Your intranet might be wearing your team out. 😅
❌ Search fails.
❌ 3 versions of the same doc appear.
❌ Nobody knows which process is current.
❌ Access rights are unclear.
❌ Ownership lives in chat.Nothing breaks. It just quietly wastes time and focus.
Good documentation needs structure, ownership, permissions, templates, and regular updates.
https://xwiki.com/en/Blog/internal-documentation-best-practices/
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Build an autonomous knowledge base with a Karpathy-Style LLM Wiki beyond the hype:
• Local-first: Fully accessible via Obsidian
• Agent-driven: AI updates, cross-checks, and maintains the wiki autonomously
• Knowledge compounding: Information grows organically instead of searching from scratch every time📺 Detailed workflow guide:
https://youtu.be/iXd0t60YmMw?si=Oc84Isp70dfosapY#AI #LLM #Obsidian #Markdown #KnowledgeManagement #OpenSource #Tech
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Anne-Laure Le Cunff offers five tips for avoiding cognitive debt with AI. Keep thinking, let it challenge you, write the first draft yourself, watch for over-reliance, keep reflecting.
All reasonable. I am not convinced they are enough on their own, because none of them stop you offloading the very tasks you need to do in order to learn.
My addition is metacognition, and a Zettelkasten to practise it in: https://www.ctnet.co.uk/cognitive-debt-ai-offloading/
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🧳 There's a type of person who reads the whole wiki page before asking a question, and a type who Ctrl+F's one line and calls it a day.
We turned documentation habits into travel personas for summer.
Find out which chaos gremlin or meticulous planner you actually are. 🧠🌴 -
Socrates worried that writing would damage our memories. We only know about his concern because somebody wrote it down.
Every generation runs this argument. But "people have always worried" is not the same as "there is nothing to worry about". Generative AI can now produce the work itself, not just store it.
The question worth asking is which cognitive work you want to keep doing: https://www.ctnet.co.uk/cognitive-debt-ai-offloading/
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💡 Knowledge is only valuable if it can be found quickly. 💡
In our next Galaxy Deep Dive webinar, we’ll show you exactly how BlueSpice Galaxy helps you organize knowledge clearly and make it accessible faster.
📅 September 2, 2026
🕚 2:00 p.m. – 2:30 p.m.
💻 Free and online👉 Register now: https://bluespice.com/find-information-faster-with-a-structure-that-works/
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Choose the AI behind your wiki's answers!
Configure your #MediaWiki chatbot via the admin panel: pick the provider, from Anthropic and OpenAI to the French Mistral and Swiss Apertus, or your own self-hosted model. Tune the chat features and apply your branding.
Learn more at https://professional.wiki/en/mediawiki-ai-assistant
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A question I keep coming back to: what was your calculator moment?
Mine was long division. I handed it to the calculator and never picked it back up. Later, doing stock taking work, I caught myself reaching for the calculator to do 2+2.
Cognitive offloading is not automatically a problem. But some of it we notice too late. Has anyone else offloaded a skill and quietly regretted it?