DECENTRALIZED INTELLIGENCE FOR THE WORLD’S MOST POWERFUL SYNTHETIC DATA
FINANCIAL
MODELS FOR AI
Mode is building a new onchain economy that rewards contribution to network growth
POWERFUL FORECASTING
Historical data is not sufficient for AIs and LLMs to train on. By exposing AI to a wide range synthetic paths, they can train on diverse outcomes, improving their ability to reason under uncertainty.
Probabilistic Models
Monte-carlo simulations enable probabalistic models. The Synth subnet acts as a sandbox where models refine their ability to handle stochastic processes.
Adaptive Learning
Synthetic subnets allow for continuous training and improvement. AI can adapt to new patterns or changing market conditions. Probabilistic reasoning can evolve as new data reflects new paradigms.
