For practitioners tracking where coding-model quality actually comes from, Google's latest move is a tell: the company is reorganizing its AI coding strike team to add a dedicated midtraining phase, rather than betting only on better tools and agents. The Information reported that Google DeepMind is expanding the team, formed roughly two months ago to close the gap with Anthropic, to work on midtraining, the stage between broad pretraining and final instruction tuning where a model is exposed to carefully selected data. Prior research suggests midtraining is especially effective for code and math, where models must move from general language ability to structured problem solving. The reorganization, reportedly involving Sergey Brin and DeepMind CTO Koray Kavukcuoglu, follows a string of senior departures to Anthropic and OpenAI. The signal for builders: leading labs increasingly believe coding capability is won in the training pipeline, not just in the agent harness layered on top.
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