So its basically just a mastodon bot, a knowledge graph and an AI-model, who all work together.

The mastodon bot makes the functionality available to users (they can ask for song recommendations), the AI model is obviously trained and the knowledge graph is used to save the model and for collaborative communication between AI agents.

I’m not 100% sure whether it will be counter-productive or not, but maybe AI on the Fediverse could be a good thing. Like it could push the Fediverse forward (all big social networks nowadays have their own llms, ours should be federated of course). I think combining these three aspects (social web, semantic web/knowledge graphs and autonoumos agents) could be a cool thing. I have noticed how the narratives in the three departments are similar to one another (social web enthusiasts speak about walled gardens, data/knowledge enthusiasts about data silos and AI enthusiasts about big, centralized AI).

The following three resources point to how similar the approaches are:

• https://www.cl.cam.ac.uk/seminars/wednesday/video/20241127-1500-t221089.html
• https://about.flipboard.com/inside-flipboard/dot-social-evan-prodromou/
• https://www.youtube.com/watch?v=Fy5eKqM8-OA

But how to combine them? Maybe as a fungus?