Deep learning labs showcase models with a trillion parameters and mountains of GPUs, but each new breakthrough always demands more electricity and money. Qubic's Aigarth project raises a provocative question: what if the road to artificial general intelligence (AGI) did not go through ever larger data centers, but through millions of ordinary CPUs working together and evolving by themselves?