Developer cuts AI inference costs 60% by converting code to images for OCR

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A developer has shared a technique called PxPipe that reportedly reduces AI model costs by 60% for Fable-based workflows. The method works by converting source code into images and having the AI model read them via optical character recognition rather than processing raw text tokens. The approach was published on GitHub and gained attention on Hacker News, accumulating 21 points and 7 comments. The rationale behind the technique appears to be that image-based inputs can be more token-efficient than direct text in certain model configurations.

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