bsmall2> The researchers demonstrated that hallucinations stemmed from statistical properties of language model training rather than implementation flaws. The study established that “the generative error rate is at least twice the IIV misclassification rate,” where IIV referred to “Is-It-Valid” and demonstrated mathematical lower bounds that prove AI systems will always make a certain percentage of mistakes, no matter how much the technology improves.
https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html
#AISalami #ChanceItAI
https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html
#AISalami #ChanceItAI
OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flaws
In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.