It’s so funny to me that Anthropic can make claims like this one with zero evidence provided.

DeepSeek and others like Minimax are publishing deep research on Multi-Head Latent Attention and Mixture of Experts, Multi-Token Prediction, novel Sparse Attention approaches, I mean they trained long context models on a fraction of the resources and gave everyone the recipe.

Chinese labs might not have the funding of labs like Anthropic, but at least they provide the receipts.

While it sounds like a lot, do you suppose 3.4 million sessions come even close to being sufficient to train a frontier model?

Assuming each session was 10,000 words each, that's 34 billion words; lets call it 50 billion tokens (0.05 trillion) unfairly pilfered from Claude. That left Moonshot needing to scrounge for the other 14.950 trillion training tokens required for a baseline frontier model.