Summary
A solo developer with a state-of-the-art AI infrastructure project is debating whether to open-source early. While open-sourcing offers benefits like feedback and user adoption, it risks exposing a unique, hard-won algorithmic approach. The developer fears that large language models (LLMs) and "vibe coding" could make it easier for others to replicate their core innovation if revealed too soon.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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