The image below is the one I have often used to explain the creation of meaning with the PKM frame. He describes how we can use different types of filters to search for information and knowledge, then apply this by doing and creating, then sharing, with added value, which we learned. An emerging challenge today is that our algorithmic knowledge filters become dominated by the release of generative pre-formulated transformers based on large language models. And more and more, these generate Soil ai. Which means that machine filtersLike our search engines, are no longer reliable sources of information.
Consequently, we must build better human filters – expertsAnd Subject networks.
Diversity> Learning> Confidence.
We must abandon these sloppy tools and focus on connection and communication with our human colleagues. Continue to produce writings generated by humans, such as blogs, and use social media that are not generated by algorithm, as Mastodon. We have just finished a PKM workshop With a global cohort and the participants' consensus is that skills such as media literacy, critical thinking and curiosity are always essential to give meaning to our technologically connected world.
At Learnopoly, Finn has championed a mission to deliver unbiased, in-depth reviews of online courses that empower learners to make well-informed decisions. With over a decade of experience in financial services, he has honed his expertise in strategic partnerships and business development, cultivating both a sharp analytical perspective and a collaborative spirit. A lifelong learner, Finn’s commitment to creating a trusted guide for online education was ignited by a frustrating encounter with biased course reviews.