I am working on a new open-source project. (My project is in AI infrastructure. It already gets SOTA results on several well-known benchmarks.) The core value is not just the code, but a fairly specific algorithmic approach that came out of many failed attempts, experiments, and design iterations.The dilemma I am facing is this:If I open-source early, I get feedback, trust, users, and maybe contributors. But I also expose the core design and algorithm. With LLMs, turning a repo into a different implementation is much cheaper than it used to be.If I keep it closed, I protect the work for longer, but I also lose the main advantages of OSS: adoption, review, community, and credibility. Worse, someone else may still build something similar and become the default project in the space.I’m a new solo dev with almost no audience. If a large org or a well-known developer sees the idea and ships a similar implementation, they can get more attention immediately than I can get in months. And in th...