Post #1618957

No. You're not just wrong, you're aggressively uninformed. By you repeating the same tired “AI is just regurgitating data” line makes it clear you don’t understand what you’re criticizing. Calling large language models “AI” the way you are doing it just exposes that you do not know what you are talking about. It is like a creationist smugly saying “orangutang” instead of “orangutan” and thinking they sound informed. You are not demonstrating insight. You are advertising ignorance. What you’re describing, reading a paragraph off Wikipedia, is literal retrieval. That is not how modern language models operate. They are not databases with a search bar attached. They are probabilistic systems trained to model patterns, structure, and relationships across massive datasets. When they generate a response, they are not pulling a stored paragraph. They are constructing output token by token based on learned representations. If it were just regurgitation, you would constantly see verbatim copies of training data. You do not. What you see instead is synthesis. Concepts are recombined, abstracted, and adapted to context. The system can explain the same idea multiple ways, shift tone, handle novel prompts, and connect ideas that were never explicitly paired in the source material. That is fundamentally different from reading something out loud. Your analogy fails because it assumes nothing is being transformed. In reality, transformation is the entire mechanism. Information is compressed into weights and then expanded into new outputs. Is it human intelligence. No. Is it perfect. No. But reducing it to “just reading Wikipedia out loud” is not skepticism. It is a basic failure to understand how the technology works. If you are going to criticize something, at least learn what it is first.