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seems like large scale data analysis and mathematics are the strong points of AI if I understand the tools correctly, less ambiguity and room for hallucinations.
Do people agree?
"Artificial Intelligence" is a very broad term that, within computer science, covers a range of techniques and tools that broadly cover the study of "human-like behavior and impersonation." Before the current fad of calling LLMs "AI", the term was most often used in video games and covered techniques for pathfinding, decision making, reacting, seeming to speak, etc. Before that, pre-90s basically, "AI" had already undergone a few boom and bust cycles of hype with chess playing machines and, as always, chat bots.
In many fields, many of these same techniques and their descendants are being used to model and simulate and predict. All of them have trade-offs and limitations, that's what computer science is all about.
I do remember talking to chatbots on AIM back in the day, so I think I had a leg up on other people in already understanding that the technology has existed for decades, which made me more cautious about the claims.
They made such a big leap so quickly, though. I remember even in 2018 thinking no bot would ever pass the Turing test.
Yeah, I think so. When you have low signal to noise, especially if the dataset is huge, AI tools seem pretty great.