On a related note, I have been experimenting with a small prototype for cross-agent, device-local active memory called brAIn (https://github.com/glthr/brAIn). It delivers a personalized agent experience with everything stored locally in a single file (agent.brain), and supports reusing semantic memory across projects. In practice, this means brAIn can identify and apply behavioral patterns you have used in other contexts whenever they are relevant. (I realize the repository should include a concrete example of this, and I will update it today to add one).
Author here: In a few weeks, I will publish the graph generator's source code and a DOT file encoding the Myst graph in this repository: https://github.com/glthr/DeMystify. I would love to see how others render the graph and how the generator can be improved. A follow-up article will also dive deeper into the technical details. Stay tuned!
I think that is a fantastic idea! I would be happy to see your blog take shape. Blogging is something I genuinely enjoy, as it allows me to put my thoughts into tangible form.
alias: G.
interests: computers, programming languages, programmatic puzzles, bacteriophages
language(s): en, fr
link to something you think is cool: https://google-research.github.io/self-organising-systems/2022/diff-fsm/
contact info: moeie.gyj/btfgxnc (Vigenère cipher, the key is this website's name)
This book introduces phages and their pivotal role in advancing human health through phage therapy. In my opinion, it illustrates the inevitability of phage therapy's integration into mainstream medical practices, underscoring its potential to effectively combat antibacterial resistance.
And yes, these are screenshots from Anthropic’s documentation.