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Applied AI·August 27, 2026·1 min read

Piloting the world's first double-blind AI evaluations

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DeepMind piloting double-blind AI evaluations is a push to separate model identity from performance claims—reducing brand bias in benchmarks. If you’re selecting models or vendors, expect more pressure to run your own anonymized bake-offs instead of trusting leaderboard marketing.

Applied AI

Sources: Meta internally projected that it could spend as much as $10B annually on Anthropic's AI models, even as Zuckerberg publicly criticized Anthropic

A $10B-per-year internal projection for third-party models underscores how fluid "build vs buy" is at frontier scale—public rhetoric and procurement math can diverge sharply. If you're a platform or large buyer, assume similar quiet optionality from your peers and design your own stack so you can pivot providers without rewriting everything.