No, but you can understand them if given time. And you can rely on them to be some degree of reliable approaching 100% (and when they fail it will likely be in

No, but you can understand them if given time. And you can rely on them to be some degree of reliable approaching 100% (and when they fail it will likely be in a consistent way you can understand with sufficient time, and likely fix). LLMs don’t have these properties. Randomness makes for a poor abstraction layer. We invent tools because humans suffer from this issue too.