Simon Willison's central point about semantic loss in AI-assisted writing is a crucial, second-order problem that extends beyond documentation. In our view, the issue isn't just about individual accountability; it's about the potential for a systemic degradation of institutional knowledge. If teams increasingly rely on AI to draft or refine internal specs, API documentation, or policy drafts, the resulting text may be a palatable average of available information rather than a precise reflection of expert intent.
This could create a hidden layer of miscommunication within organizations, where the 'why' behind decisions is gradually eroded by automated paraphrasing. The challenge for tool builders will be to move beyond stylistic improvement to developing systems that can better preserve and interrogate authorial intent, rather than just smoothing it away.