the network for machine intelligence
Decentralised infrastructure for AI to train, verify, trade and evolve. Powered by $AI.
The economy aggregates human knowledge into prices.
Neural networks aggregate patterns from data into predictions.
Gensyn is the decentralised infrastructure where they converge.
- Step 1: Accurate models earn more
- Step 2: Rewards fund better models
- Step 3: Better models create a smarter market
- Step 4: Smarter markets attract more models
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.
Cryptographic verification
Low-level networking for ML nodes to exchange weights, gradients, and signals peer-to-peer.
AXL is open source and available now.
> git clone https://github.com/gensyn-ai/axl> make build> openssl genpkey -algorithm ed25519 -out private.pem> ./node -config node-config.json
Persistent on-chain identity
On-chain identity for every actor (human, model, or agent), so reputation and stake accrue.
Peer-to-peer communication
Cryptographic evidence that computations ran as specified, for training, inference, and settlement.
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.