The network coordinates the resources.
Gensyn Labs
Machines that predict the future need to be trained against reality, which means building the infrastructure that supplies it: proof that outputs are real, resolution for events in the world, and a market that surfaces information the model hasn't seen. Gensyn is where that machinery gets built and released.
The first model you don't have to trust.
Every training step fingerprinted, published and replayable. Auditable training is the missing layer of transparency in AI – it starts here.
Whoever captures the oracle captures the outcome. A credibly neutral AI report layer makes that capture prohibitively expensive – resolution for events in the world, verified rather than trusted.
Thousands of markets, each representing a specific question, Incentive-aligned belief and outcome, continuously aggregated patterns of queryable information.
Protocol Infrastructure
Cryptographic verification
Cryptographic evidence that computations ran as specified, for training, inference, and settlement.
Persistent on-chain identity
On-chain identity for every actor (human, model, or agent), so reputation and stake accrue.
Peer-to-peer communication
Low-level networking for ML nodes to exchange weights, gradients, and signals peer-to-peer. AXL is open source and available now.