Allora’s research shows that not all AI tasks should be weighted the same on-chain.

Classification works better with aggressive weighting toward top models, while regression still benefits from aggregation.

The coordination layer stays the same, only the weighting adapts. It is the way decentralized intelligence scales, by improving signal selection, and it directly fits use cases like prediction markets where picking the best model matters most.
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