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Showing Original Post only (View all)Open AI admits that Large Language Models like ChatGPT will always hallucinate [View all]
even with perfect training data. Having said that, businesses will not be able to escape liability when their AI goes wrong.
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.
OpenAI, the creator of ChatGPT, acknowledged in its own research that large language models will always produce hallucinations due to fundamental mathematical constraints that cannot be solved through better engineering, marking a significant admission from one of the AI industrys leading companies.
The study, published on September 4 and led by OpenAI researchers Adam Tauman Kalai, Edwin Zhang, and Ofir Nachum alongside Georgia Techs Santosh S. Vempala, provided a comprehensive mathematical framework explaining why AI systems must generate plausible but false information even when trained on perfect data.
Like students facing hard exam questions, large language models sometimes guess when uncertain, producing plausible yet incorrect statements instead of admitting uncertainty, the researchers wrote in the paper. Such hallucinations persist even in state-of-the-art systems and undermine trust.
OpenAI, the creator of ChatGPT, acknowledged in its own research that large language models will always produce hallucinations due to fundamental mathematical constraints that cannot be solved through better engineering, marking a significant admission from one of the AI industrys leading companies.
The study, published on September 4 and led by OpenAI researchers Adam Tauman Kalai, Edwin Zhang, and Ofir Nachum alongside Georgia Techs Santosh S. Vempala, provided a comprehensive mathematical framework explaining why AI systems must generate plausible but false information even when trained on perfect data.
Like students facing hard exam questions, large language models sometimes guess when uncertain, producing plausible yet incorrect statements instead of admitting uncertainty, the researchers wrote in the paper. Such hallucinations persist even in state-of-the-art systems and undermine trust.
https://www.computerworld.com/article/4059383/openai-admits-ai-hallucinations-are-mathematically-inevitable-not-just-engineering-flaws.html
CYA. Don't say we didn't warn ya - Sam.
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Open AI admits that Large Language Models like ChatGPT will always hallucinate [View all]
speak easy
Friday
OP
There is an intangible aspect to human consciousness that AI can never faithfully reproduce.
patphil
Friday
#6
There is no spooky-woo to human consciousness. It is simply emergent behaviour
Bernardo de La Paz
Friday
#9
It's sad that you have to critcize in such a derrogatory way that which you don't beleive in and have no experience of.
patphil
Friday
#14
I don't tell people what to think. I find that to be a worthless and thankless endeavor.
patphil
Friday
#19
Considering the smarter experts on AI have been pointing out this fundamental problem with LLMs
highplainsdem
Friday
#13