They don't report the pass@1 success rate. They sample multiple solutions from Opus/Fable and CLM decides which one to submit, that's why they get >80%.
I also think neuromorphic computing is the future for energy efficient AI. But sadly development is getting a bit sidelined by other popular AI research areas. It doesn't help that it's much easier to train ANNs than spiking neural networks (SNNs). :/