Half of LLM users (49%) think the models they use are smarter than they are, including 26% who think their LLMs are “a lot smarter.” Another 18% think LLMs are as smart as they are. Here are some of the other attributes they see:
- Confident: 57% say the main LLM they use seems to act in a confident way.
- Reasoning: 39% say the main LLM they use shows the capacity to think and reason at least some of the time.
- Sense of humor: 32% say their main LLM seems to have a sense of humor.
- Morals: 25% say their main model acts like it makes moral judgments about right and wrong at least sometimes. Sarcasm: 17% say their prime LLM seems to respond sarcastically.
- Sad: 11% say the main model they use seems to express sadness, while 24% say that model also expresses hope.
Is stringing words together really considered knowledge?
If they’re strung together correctly then yeah.
As much as a search engine is
It’s semantics. The difference between an llm and “asking” wikipedia a knowledge question is that the llm will “answer” you with predictive text. Both things contain more knowledge than you do, as in they have answers to more trivia and test questions than you ever will.
I have a new word for you: information
I guess I can see that, maybe my understanding of words or their implication is incorrect. While I would agree they contain more knowledge I guess that reads different to me than being more knowledgeable. I think that maybe it comes across as anthropomorphizing a dataset of information to me. I could easily be wrong.