Evolution of AI Group Intelligence

Once you can replicate individual models perfectly, the unit of selection can move way up and you can do much larger groups and packages of minds. That would be an obvious place to start. You can train individual minds in a differentiable fashion, but then you can’t really train the interaction between them. You will have groups of models or minds of people who just work together really well in a global sense, even if you can’t attribute it to any particular aspect of their interactions.

Profound insight about the emergence of collective AI intelligence and the shift from individual to group-level optimization. Highlights the importance of emergent properties in AI systems and the limitations of current training approaches for inter-model interactions.

Ref. 4E4E-A