The essence of aligning large LLM models is basically to conform to the existing social order. ChatGPT respects China's order, while China's open-source models, although reluctantly, also tolerate the order in the US. Maybe we can build a revisionist SFT dataset.
Any conversation
code quality is about coupling.
coupling is not a technical property of the code bytes.
code acquires its meaning in contact with the cultural environment, and coupling is about meaning.
two constants with no semantic relationship are nonetheless coupled in pragmatics if they refer to the same domain concept.
if your goal is to minimise the time integral of future work, you must understand your domain: it decides which lines will need changing.
to carve up a codebase is to carve up the world.
