Earlier quoted context omitted.
If you think of LLMs as programs. The weights and inference code are very much a binary. While the training code and data are the true source. Since if you want to robustly modify the LLM that's actually what you need. But since "compilation" (training) is extremely compute intensive this isn't something accessible to anyone without an entire datacenter. Anyway semantics aside having the binary is still infinitely be…
That’s not how it works though. Two training runs on the same data don’t produce the same weights. And if you want to modify the AI, you do so by fine tuning the weights not rerunning training. In every respect that matters, the weights are both the binary and the source code together.
Open source means you reveal how you created this binary.