Currently, robotics models appear to be using much less training compute than they are able to, because of constraints in data quantity and variety. Will a robotics model break this trend, and be trained with within one order of magnitude of compute of the largest frontier models to date? For example, if the to-date most frontier LLM is trained with 1e27 FLOP, a robotics model being trained with 1e26 would resolve this market positively. If this information is not given, I will resolve based on epoch.ai estimates, or other reliable sources if epoch.ai stops providing such estimates.