Hello Qubic

The first draft of the DOGE protocol implementation is now public on GitHub. Doge-connect is the bridge between the Qubic network and Dogecoin mining. The repo includes: • The Dispatcher: the custom bridge that connects Qubic’s compute network to the DOGE mining pool • Communication structures for custom mining tasks and solutions between the Qubic network and external chains • A testminer implementation for end-to-end pipeline validation The architecture is designed to be extensible. The code defines generic structs that can support additional custom mining types beyond DOGE in the future. This is open-source infrastructure, built in public.

What if crypto mining could do two things at once? Not theoretically. Not "in development." Right now. Qubic ASICs mine Dogecoin. CPUs and GPUs train AI. Both running. Same network. Zero conflict. Here’s how we got here.

A pattern is emerging in AI research that most people are not talking about. The industry spent 2023-2025 scaling transformers. Bigger models. More parameters. More data. The results were impressive. The returns are diminishing. MIT Technology Review identified it: 2026 is the year AI moves from hype to pragmatism. Yann LeCun left Meta to build world models. DeepSeek showed that architecture efficiency can outperform raw scale. Multiple teams are now exploring post-transformer paradigms: liquid neural networks, neuromorphic computing, spiking networks. The shared question: what comes after the transformer? Qubic has been working on one answer since before this became a mainstream conversation. Ternary logic. Continuous processing. Evolutionary dynamics. Protocol-native compute infrastructure that turns mining energy into AI training. The architecture debate is no longer theoretical. It is happening across research labs, startups, and decentralized networks simultaneously.