According to MarsBit, Meta has internally restricted its engineers from using external AI coding models such as Claude Code and Codex in daily development. The primary goal is to prevent the outputs of these external models from infiltrating the training and evaluation data pipeline of Meta's own AI coding assistant, MetaCode, thereby avoiding the so-called 'distillation trap' — that is, inadvertently replicating the capabilities of competing models, while also reducing the high costs associated with frequent calls to external AI services.
This restriction highlights the high priority that big tech companies place on data purity and model independence in the AI arms race. By strictly isolating internal training data from external model outputs, Meta aims to ensure that MetaCode's performance does not rely on any competitor's technology, while also protecting its own models from reverse distillation. For professionals in crypto and tech, this development signals that future boundaries and compliance requirements for AI tool usage will become stricter, especially in scenarios involving core model training.