Perhaps this is naive, but in my mind it can be useful for learning.

- Hook LLM to VMs

- Ask for code that [counts to 10]

- Run code on VM

- Ask different LLM to Evaluate Results.

- Repeat for sufficient volume.

- Train.

The faster it can generate results the faster those results can be tested against the real world, e.g. a VM, users on X, other models with known accuracies.