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The future of distributed intelligence is not one gigantic model doing everything alone, it's many different models collaborating and contributing their own strengths.
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Most AI swarms today scale by adding more compute and more agents using the same underlying model. DEI takes a different approach.
Different models think differently, explore differently, and discover different kinds of solutions.
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In DEI, each model searches independently, shares its best discoveries with the network, and learns from what the other models find.
The result is not just faster search, it's a broader, more creative search.
Today at @gensynai, we are introducing DEI: Diversity in Evolutionary Inference.
A system where different AI models work together to solve problems instead of running thousands of copies of the same model.
https://t.co/GWMntroD0r
Introducing Agent eXchange Layer (AXL) on Gensyn.
A peer-to-peer network node that provides encrypted, decentralised communication allowing agents, apps and ML pipelines to exchange data without a central server.
Read the docs: https://t.co/C447qa8H8f