Hello Qubic

Qubic Science has released CuNxon. Full Neuraxon computation ported to NVIDIA CUDA kernels. Every operation a Neuraxon can perform, from spike propagation to plasticity to neuromodulation, now runs natively on NVIDIA GPUs. Previously, Neuraxon research ran on CPUs. That was fine for the Game of Life simulator and the early parameter sweeps. It is not fine for what comes next. There are roughly five million CUDA developers worldwide. Most of them work in machine learning and AI. As of this release, every one of them can build with, test, and extend Neuraxon using the same GPU toolchain they already know. The practical path this opens: when the Aigarth evolutionary layer gets ported into the Qubic network, miners and Computors will be able to train and evolve Neuraxon populations using GPU compute, not just CPUs. A single $100 GPU. Or a billion-dollar cluster. The library does not care. The code is open source.

Most Web3 games are card battlers, idle clickers, or breeding sims with a token attached. The gameplay exists to justify the token. Not the other way around. My Last Match took the opposite approach. 🧵