Jesse Genet has been posting some cool use cases of OpenClaw for homeschooling that are somewhat along these lines. Using the assistant to inventory the physical manipulables, the curriculum pages, and how they intersect. Printing pages automatically for certain lessons. Updating e-ink screens with other lessons.
since the solution here doesnt appear to be open source, I think you can get something similar by asking your agents to take AgentFS and replacing the DB with ChromaDB
This is really promising. Are they now going to scale this up to hundreds of billions of parameters? Why stop at 1.5B if they found a potentially SOTA architecture?
This just happened up north, apparently the largest proposed AI data center in Canada (Synapse's $10B 1GW campus in Olds, Alberta) was just put on pause after the Utilities Commission rejected its power application on March 6, 2026 due to noise pollution concerns from 20 gas turbines, 10 steam generators, and up to 600 diesel backups near 800 homes (just 200m away). The assessments failed to model cumulative worst-case noise. The proposal will be revised and resubmitted of course but the concern isn't going to go away.
I came to the same conclusion from first principles. Whether AI or not, it's useful to have a third party facilitator identify and compress the key topics of a conversation to help experts navigate the crystallization of new knowledge
I recently set up Hammerspoon to surveil my own computer usage actions (active tab/window, typing state, scrolling) to have a next-action predictor. It shows the predicted next action at the top of the screen but I was thinking of using it to improve voice command accuracy.
What I think would actually be useful is a version of what was implemented on /r/ClaudAI which is an official bot which summarizes the discussion (and updates after x number of comments have been added). I think this level of synthesis has a compounding effect on discussion quality and pruning redundant arguments/topics.