I think Anthropic likely trained the Mythos base model from roughly October to December using on the order of 6.7e26–1.0e27 flops

Since then, the RL-to-base-model-training flop ratio is plausibly somewhere around 0.5 and 3, depending on how much of the expanded Trainium 2 fleet was actually allocated to Mythos RL. The reason this range is plausible is that public AWS/Anthropic statements imply Anthropic-accessible Trainium2 capacity grew from roughly 500k chips around Rainier’s launch to over — via @scaling01

High-priority alert based on source significance and keyword relevance.