
NonpartisanEducation
5.9K posts

NonpartisanEducation
@NPEreview
Nonpartisan Education Group, Outside Both Boxes. Forum for those interested in education policy & not aligned with vested interests of either political party.



OpenAI just published a paper proving that ChatGPT will always hallucinate. Not sometimes. Not "until the next version." Always. They proved it mathematically. And three other top AI labs confirmed it independently. Here's what the research actually shows: Even with perfect training data and unlimited compute, LLMs will still fabricate answers with complete confidence. This isn't a bug in the code. It's fundamental to how these systems are built. The numbers are wild: → OpenAI's o1 model: 16% hallucination rate → Their o3 model: 33% → Their newest o4-mini: 48% Nearly half of what their latest model tells you could be invented. And it's getting worse as models get "smarter." Here's why this can't be fixed: Language models predict the next word based on probability. When they hit uncertainty, they don't pause. They don't flag it. They guess with total confidence. Because that's literally what they were trained to do. The researchers analyzed the 10 major AI benchmarks used to test these models. 9 out of 10 give the exact same score for saying "I don't know" as for getting it completely wrong: zero points. The entire testing system punishes honesty and rewards confident guessing. So the AI learned the optimal strategy: always answer. Never show doubt. Sound certain even when making it up. OpenAI's proposed solution? Train models to say "I don't know" when uncertain. The problem? Their own math shows this would leave roughly 30% of questions unanswered. Imagine getting "I'm not confident enough to respond" three times out of ten. Users would abandon the product overnight. The fix exists. But it kills usability. This isn't just OpenAI's problem. DeepMind and Tsinghua University reached identical conclusions working separately. Three elite AI labs. Independent research. Same result: this is permanent. Every time you get an answer from any LLM, you're not getting facts. You're getting the most statistically probable next words from a system that's been rewarded for never admitting when it's guessing. Is this real information, or just a confident hallucination? You can't know. And neither can the AI.













