Possibly stupid question, in general: why don't these papers have any dates? how do I know when it was published and whether it is up-to-date / still relevant?

   get_pdf_by_doi(){ wget --recursive --span-hosts --no-directories --accept '*.pdf' --quiet --execute robots=off https://sci-hub.tw/${1} ;}

This felt very shallow which may be because of the breadth of topics the authors tried to address. Data management has been building for years on the pillars of data quality, with a passion that is at times counterproductive (looking at you single ideal schema of truth) and I feel this failed to put enough emphasis on the gradual transition to new mechanics of trust as a counterweight to probabilistic answers. We are falling into the trap of imagining robotic brooms instead of vacuum cleaners. I don't see LLMs perfecting approaches with singular focus on precision but I do see them introducing new with focus on convenience (is that not what we are witnessing with evolution of search?)

Section header: "Who's data is it?"

Couldn't they have had an LLM proof-read they're paper?

I work at a company that manages docs, chat, and tasks (amongst many others), we of course use our product internally. AI search (chatgpt-like, you ask a question, it answers) was added a while ago.

My experience has been that it really is a huge improvement, you don't need to guess which words were used to describe the issue, you just describe your issue, tell the system what you want, and the results are there. Chat's been busy and you remember an issue was raised in a thread a week ago? With traditional search, good luck finding it. Now, I just write "Tom raised this week an issue in this chat about something not working with reminders??" and the results are there.

Someone at the company uses it to manage Dungeons and Dragons play nights, they document their world, their plays, etc, he wrote probably a smaller book worth of content, then can ask AI what happened 4 months ago with a characters instead of trying to search.

Nonsense. *BLOCKCHAIN* will disrupt data management !

#humor