2019 may turn out to be the “Year When AI Really Changed Us”. While VR bulldozes through iterations of wearable hardware, which is slow going until suddenly enough progress is made to be a practical tool…AI is charging ahead because algorithms that perform certain functions can be reused and bundled together to take on new challenges, A geometric progression model of accelerating innovation is underway, with a vengeance, for AI.
But advances and innovation in AI don’t necessarily follow the way our minds have worked since the invention of writing and especially since the phonetic alphabet. In the articles below one can begin to catch some glimpses of what “thinking” “knowledge” and thus learning is going to be in the not so distant future. One might say learning is absorbing information into a structure that becomes knowledge, and thus enables us to be capable humans.
AI has its own way of structuring information, and our wearable/ implantable devices will have their own way of turning that into actionable knowledge.
Yes, a huge change in our way of being, and our way of learning, and in the educational methods and structures we create and use… is coming. Probably its already being formed today, if Hollywood is any indicator.
Various memes about how it can all go wrong have been explored since the earliest days of sci-fi. as well as suggestions of what living will be like in the future in possible worlds where things seem to work. What’s probably also not news is that we are going to play a big part in how this all turns out.
These two below are from Axios, and suggest a compare and contrast between the way we organize information, and the way AI “thinks” we are organizing information. In the differences between us and AI, there is some room for seeing what’s next. If one squints.
[gview file=”https://publicservicesalliance.org/wp-content/uploads/2019/05/AI-isn’t-just-being-trained-to-remember-but-to-properly-forget-Axios.pdf”] [gview file=”https://publicservicesalliance.org/wp-content/uploads/2019/05/AI-learns-to-write-headlines-but-not-this-one-Axios.pdf”]
Just to double check that I was using language correctly, I researched the phrase “geometric progression model of accelerating innovation”.
After reading the Wikipedia page about “geometric progression” it seems the take-away of: change building on change and increasing in pace with each iteration… may be a correct interpretation.
But then again, not doing the math, one can’t be quite sure. Maybe someone here would know better/
How can we organize information so we are learning what we need to learn? A machine that has a good idea of what you care about can read through
millions of documents and send you summaries of only the most relevant
information.
What you care about fits into “capturing the learning imagination” one of the PSA core elements. What kind of learning can lead to to innovations that help improve education?