From the user's perspective: 1. Some people (e.g. some artists) don't like generative AI as a matter of principle, seeing it as soulless, corporate, and entire

From the user's perspective: 1. Some people (e.g. some artists) don't like generative AI as a matter of principle, seeing it as soulless, corporate, and entirely trained on stolen data. 2. Many people resent Clippy-style popup features. They appear at the most inconvenient times, and everyone knows they're mostly for the benefit of the product manager with a user count KPI. And the harder they get pushed, the more people resent them. 3. The distinction between things-known-from-training-data, things-known-from-context and things-known-from-RAG and so on is pretty opaque to most users - and not clearly guaranteed by the documentation. If it's an assistant that can schedule reminders, can find things in your e-mails and google drive, and it promises "Personal Results" where "your communication requests will be used to improve your experience with Gemini" the distinctions are pretty ambiguous. 4. The LLM industry norm is to play fast and loose with training data.