Reaching the UN Sustainable Development Goals
with survival of the fittest for machines
WINNING TEAM: KRYHA
Build the Unimaginable
8.7 million animal species have working ecosystems to fulfill basic needs such as housing, food, transportation, energy, etc. None of these ecosystems are based on ownership, identity as we use it, or money. Some aren’t even based on scarcity, but instead on cooperation, resulting in abundant resources. For free.
This is unimaginable and crazy to just one species, us humans, even as many other species live the reality.
Nature 2.0 challenged the teams to build a Commons, an Ecosystem to Create Abundance, an Ownerless Ecosystem.
Reaching the UN Dev Goals with survival of the fittest for machines
The main reason for not reaching the 17 UN Sustainable Development Goals is that these huge problems are ownerless, or, actually, problems that we all have in common. We need to turn to both nature and machines to together create an unstoppable force solving these solutions.
Team Kryha has worked on Decentral Machine Optimization. Their ‘Horizon’ solution enables machines to optimize by learning on how to improve and deciding which machines get to improve and which machines die out and donate their parts to the new generation.
For software optimization, Kryha looked at single-cell organisms who aren’t limited to sharing DNA vertically like us mammals do when creating a child. Just like nature has natural selection, the solution creates an artificial selection for machines. For this, federated learning to Distributed Ledger Technology was applied. Federated learning allows the machines to instantaneously share learnings and mistakes across the whole network ensuring that the same mistake is never repeated again.
Kryha build the decentralized infrastructure in which future blockchain projects will run, with decentralized container orchestration powered by kubernetes and Ethereum. Such a protocol enables everybody to run decentralized applications powered by decentralized compute. Blockchain is critical to this project as we need state replication across compute clusters.
For the hardware part, inspiration was taken from evolutionary theory. Just like nature has natural selection, Kryha created artificial selection for machines. The most unfit machines are decomposed and the fittest ones get to breed. To ensure that its a zero waste solution materials and components of the unfit machines are reused to assemble the newly optimized generation.