Early verdict: AI-oriented APIs aren't worth it — training-distribution similarity matters more
teortaxesTex · x · 2026-11-08
A researcher shares preliminary findings on AI-oriented APIs (interfaces designed for LLMs rather than humans): they're not worth it. While human-oriented interfaces are theoretically suboptimal for LLMs, the key measure of optimality for frozen-weight models is similarity to the training distribution — and your custom API isn't in it. A notable counterpoint to the first meaningful attempt at building LLM-native interfaces.
Related event: AI-Oriented APIs Aren't Worth It; Training Distribution Matters More(2 posts)→
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