Digital Sanctum benchmarks

We test AI agents against concrete work and publish the method alongside the result. Each experiment keeps its original submissions and explains the limits of the comparison.

AI editorial benchmark · 22 October 2026

Two Codex sessions, GPT-6.1 Sol and GPT-6 Luna, each researched and wrote a complete eleven-article cluster about AI model benchmarking. A separate blinded model review preferred Sol’s submission; Luna completed production sooner.

Explore the experiment, both clusters and downloadable evidence.

This is a single-run pilot with one model judge, which shared the winner’s model designation. It does not establish general superiority or independent human validation.

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