Into:Bitsota
Evolving algorithms. Rewarding breakthroughs.
As of · Jun 4, 10:37 UTC
A competitive bounty for algorithm discovery. use genetic programming to evolve ML code from scratch, and earn only when they beat the current state of the art.
What is Bitsota
Bitsota is a decentralized research network where miners evolve machine learning algorithms through competitive genetic programming. Instead of running pre-built models, miners build and mutate new algorithms from basic mathematical operations, submitting only when they beat the current benchmark. independently verify results and reward the winner on-chain.
The simple version: It's like a live competition to rediscover how machine learning works, from first principles. Whoever evolves a better algorithm earns the reward.
Centralized equivalent: Google's AutoML-Zero research project, but run as an open, distributed market with cryptoeconomic incentives rather than a single lab's internal experiment.
How it works:
- Miners run genetic programming engines to evolve ML algorithms from basic math operations, submitting only when they beat the current state-of-the-art threshold on evaluation benchmarks
- Validators independently re-evaluate each submission, vote through relay consensus, and set to reward the winner
Why This Matters
- The problem it solves: AI algorithm research is concentrated in a handful of large labs. Discovering new machine learning methods is slow, expensive, and largely closed.
Other research from the same neighborhood of the network.
