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.
While this is pretty hilarious LLMs don’t actually “know” anything in the usual sense of the word. An LLM, or a Large Language Model is a basically a system that maps “words” to other “words” to allow a computer to understand language. IE all an LLM knows is that when it sees “I love” what probably comes next is “my mom|my dad|ect”. Because of this behavior, and the fact we can train them on the massive swath of people asking questions and getting awnsers on the internet LLMs essentially by chance are mostly okay at “answering” a question but really they are just picking the next most likely word over and over from their training which usually ends up reasonably accurate.