

Yes I would say that she temporarily learns something while reading the notes. And she stores it in short-term memory.
The difference with AI though is that it has to re-read the same note again and again after each question you ask it. It does not keep things in “memory” from your previous conversations. It reads it again before answering you.
That is why context length matters and is important in LLMs. There’s a huge difference between talking to an AI with 10k in context length and 1mil in context length. You can try it yourself using Llama.cpp and running LLMs locally.
Sure, but I still think calling it “memories” is a reach and a bit disingenuous. It’s not remembering anything. It’s re-reading it will the every run, making it appears as if it has remembered. Calling it “reminders” or something else I think would me more appropriate.
The “memories” terminology comes from the big AI companies and they are doing everything in their power to make AI seem smarter than it actually is. A lot of reporters in media has a hard time understanding this as well and will report on AI as having it’s “own thoughts” and “making own decisions”.
ChatGPT breaches confinement because their engineers are stupid. Not because of some self determination to fuck with us or our infrastructure. OpenAI are responsible and let it happen. Same with Anthropic.
In the end an AI is a dumb computer program that only know and does what we tell it to do.