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AI Evaluation

363 summarised stories about AI Evaluation, each linking back to the original source. Browse all topics →

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Monday, 7 September 2026

The Frontier AEO Tracker: What Astra Chooses (and every other frontier model, and what you can do about it)

Latent Space 1 month ago 41

The Latent Space Frontier AEO tracker compares what frontier models recommend across categories using Astra-extracted answers and a proprietary AEO scoring method. It evaluated 161 categories using 6 prompt variations over 7 models. The results show dominant choices in 28 categories, category-specific recommendation bias, and generation-to-generation flips, with Astra tending to use fewer sources and change its mind less often.

“Twenty years of brand building simply froze in time”: How coding agents select their tools of choice

The New Stack 1 month ago 26

Armature published an experimental study on how coding agents like Claude Code, Codex, and Cursor discover and select developer tools. In a validated subset of 5,292 sessions, the agents picked the same tool in only 42% of cases and platform context affected winners (e.g., Resend won TypeScript 55/89 runs). Tool vendors are now expected to compete on tool documentation and pricing pages to influence agent choices, since being mentioned is not the same as being selected.

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