World models can now create imagined experiences for AI—environments where agents continuously learn, adapt, and improve.
We suspect multi-agent interaction may be a critical ingredient for recursive AI and general intelligence.
https://odyssey.ml/the-era-of-multi-agent-imagined-experience
Users are excited about the release of research on world models enabling imagined experiences for continuous AI agent learning.
We learn so much through the experience of working with and competing with others. Why should AI be any different?
World models can now create imagined experiences for AI—environments where agents continuously learn, adapt, and improve.
We suspect multi-agent interaction may be a critical ingredient for recursive AI and general intelligence.
https://odyssey.ml/the-era-of-multi-agent-imagined-experience
@odysseyml "After characterizing ASI, the report discusses four potential pathways from AGI to ASI: scaling AGI, AI paradigm shifts, recursive improvement, and ASI emerging from large-scale multi-agent collectives."
https://arxiv.org/abs/2606.12683
@odysseyml Excited to see this out in the world. 🚀
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