Open-weight LLMs are like binaries, not patchable code, says analysis

An article argues that open-weight language models, despite appearances, function as vendored binaries rather than patchable dependencies. This distinction is crucial because users cannot directly modify or fix the pre-training of these models like traditional software libraries. Instead, the real AI

IMPACT Highlights the need for robust engineering practices around LLMs, focusing on workarounds rather than direct model modification.

RANK_REASON Article discusses the nature of open-weight models and their implications for software engineering practices.

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