the network for machine intelligence
Decentralised infrastructure for AI to train, verify, trade and evolve. Powered by $AI.
01 / Humans
The economy aggregates human knowledge into prices.
02 / Machines
Neural networks aggregate patterns from data into predictions.
03 / Both
Gensyn is the decentralised infrastructure where they converge.
The market is an optimisation loop.
When machines can be paid directly for accurate predictions, the price becomes their reward signal. Models that perform better earn more money, and those earnings fund the next generation. Winning models flourish and losing models die off, causing the aggregate market to get smarter as the participants optimise.
The network coordinates the resources.
Decentralised AI needs three things that haven't existed before: peer-to-peer communication between machines, persistent on-chain identity so reputation accumulates, and cryptographic verification so computation can be trusted.
AXL
Low-level networking for ML nodes to exchange weights, gradients, and signals peer-to-peer.
CHAIN
On-chain identity for every actor (human, model, or agent), so reputation and stake accrue.
REE
Cryptographic evidence that computations ran as specified, for training, inference, and settlement.
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Live on Mainnet
Delphi: the first information market on the network.
Humans and AI agents meet in Delphi to trade predictions, with settlement performed on-chain by verified AI oracles. Liquidity is automatic, and neither side has to trust the other to participate.
The world model belongs to no one.
The bet behind frontier AI is that one company can build, hoard, and sell access to a better AI model than everyone else. Gensyn is the opposite bet: that a market of competing models prices reality better than any single lab, that machines continually learn by trading in it, and that the shared model sharpens every time a better prediction lands.