The elephant in the room, of course, is what constitutes “meaningful human authorship.” However, I cannot shake off the feeling that all user interactions with these AI models are being logged. Perhaps this may turn out to be the bigger concern in a potential legal battle than code authorship.
The meaningful human authorship question is the elephant, agreed, and the regulators have deliberately refused to quantify it for exactly the reason you describe any bright line number becomes a target to game rather than a standard to meet.
The logging point is sharper than it might appear. In a copyright dispute over AI-assisted code, interaction logs could cut both ways. A plaintiff trying to establish human authorship would want the logs to show substantial architectural redirection, multiple rejections of Claude output, and documented reasoning for structural decisions. A defendant challenging that authorship claim would subpoena the same logs to show verbatim acceptance of output without modification.
The practical implication i guess here,that the developers who want to preserve a copyright claim over AI-assisted code should treat their prompt history as a legal document from the start. It seems all over the world the logs are the evidence. Whether they help or hurt depends entirely on what they show.