galllpoll 'l

qubic-network:native @_Qubic_ ױ Q u b i c ױ is a Layer-1/0 founded by Sergey Ivancheglo (Come-from-Beyond / CfB, previously behind NXT and IOTA). Its core innovation is Useful Proof of Work (UPoW): instead of burning electricity on useless hash puzzles, the network’s compute is directed toward training AI. The main AI effort is Aigarth — an evolutionary, decentralized system that grows “intelligent tissue” using bio-inspired ternary neurons (excite / inhibit / neutral, similar to real brain cells) rather than conventional neural nets. The Open Science team (including neuroscientist Dr. José Sánchez García and David Vivancos) has published peer-reviewed papers on the related Neuraxon architecture. Current status on protein simulation On October 19, 2026, CfB posted that he is “Busy researching protein simulation to use it in #Qubic-run #AI for disease cure.” This matches earlier community notes about pointing UPoW toward protein dynamics. In plain terms: they are exploring whether Qubic’s distributed compute + evolving Aigarth-style AI can help model protein behavior more efficiently or intelligently than traditional methods. Potential upsides include faster insights into how drugs bind to disease-related proteins, better understanding of protein misfolding (linked to many diseases), and community-owned compute contributing to real scientific progress. It is still early-stage research by the founder, not a finished. For more information Qubic.org qubic merch sale qubic.threadless.com