How Often Do Advanced AI Models Like GPT Provide Incorrect Responses According to Recent Studies

I’ve been reading about some recent research that shows even the most sophisticated AI language models have surprisingly high error rates when answering questions. This got me thinking about how reliable these systems actually are for everyday use.

From what I understand, the studies suggest that these advanced models can give wrong answers much more frequently than most people would expect. This seems pretty important for anyone who relies on AI for work or personal tasks.

Has anyone else noticed this issue when using AI chatbots or language models? I’m curious about what kinds of mistakes are most common and whether there are ways to spot when an AI might be giving unreliable information. It would be helpful to know if there are specific topics or question types where these models tend to struggle more than others.

Yeah, the reliability problems are definitely real - there’s research backing this up. I use these models for work and they constantly hallucinate details while sounding super confident about it. Math and technical specs are the worst - I catch errors all the time. What’s scary is how convincing the wrong answers sound. They’ll give you this totally plausible explanation for complete BS. I always double-check factual stuff against reliable sources now, especially for work. The errors spike with recent news, obscure technical topics, or anything needing exact numbers.

totally agree! ai gets facts wrong constantly. i’v seen it butcher historical dates and miss current events completely. it acts like it knows everything, but it doesn’t. always double-check - don’t trust it blindly.