I think we are entering—possibly are already in—the era of humans in the dialogue with AI, discovering our values, getting more specific about them, and altering their applications based on the specifics of our world and situation.If the old KM was about building, organizing, sharing, and leveraging knowledge, the new KM might also be about mastering the dialogue: using AI not just to retrieve our answers, but to help us finally articulate the right questions.
David Weinberger //
09 Mar 2026
The AI world is advancing at a breathtaking pace with staggering sums of money, but it's built on unstable and illusoryfoundations. Our role is not to stand on the sidelines shouting warnings. It is to quietly, strategically, and indispensablybecome the people they cannot do without—the ones who ensure the entire system can actually function.
Alan Pelz-Sharpe //
09 Mar 2026
Clearly, both traditional college degrees and specialized trade certifications are too narrow and fragmented to fully prepare students for what lies ahead. For now, a hybrid system is emerging that balances the arts and the sciences, augmented by one or more areas of specialization. KM's multidisciplinary nature gives us a distinct advantage in helping to make this transformation happen. The trick is knowing when to work inside and when to work outside the formal system.
Art Murray, D.Sc. //
09 Mar 2026
A machine-learning large language model doesn't have tacit knowledge. It consists of potential knowledge.
David Weinberger //
19 Dec 2025