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Post-Training Eats Pretraining
The most important capability gains of the last year didn't come from bigger models. They came from longer, weirder, more deliberate post-training.
By The Memo · Friday, June 12, 2026 · 9 min read
If you read only the press releases, you'd think the story of the last twelve months was scale. It wasn't. The labs that pulled ahead pulled ahead on post-training: reinforcement learning from verifiable rewards, long-horizon RL with tool use, and synthetic data pipelines that are now, in dollar terms, a meaningful fraction of total training cost.
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