LLM API Misinterpretation Forces Team to Redesign Interface
ezyang · x · 2026-07-13
The author shares a classic LLM design pitfall: in their new AC abstraction, they originally wrote remat.op(f, policy=...) to mean "do not recompute f during backpropagation."
However, both Claude and ChatGPT misinterpreted the parameter as "save the output of f," highlighting how easily ambiguous API naming can be for models. The team ultimately had to modify the API design to prevent the misunderstanding. This illustrates that when designing tool interfaces for LLMs, semantic clarity is a critical engineering challenge in itself.
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