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16 June 2026
Post-training is where most of the real capability differentiation between frontier models now happens, more than pretraining scale, so a technical review from someone close to the practice is genuinely useful. This is for practitioners building or fine-tuning models, not a general-interest read. If you're doing RLHF or synthetic data pipelines, this is worth the full read.
This is a lab publishing its own internal security framework, which is useful as a template but should be read as DeepMind's self-assessment, not an audited standard. Anyone deploying agents with tool access and write permissions should be building something like this already; the value here is seeing how a frontier lab structures the control layers. Worth extracting the framework, not the marketing language around it.
Coming soon. In the meantime, the Tuesday Brief is free.
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