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Advanced OpenAI models hallucinate more than older versions, internal report finds
(www.ynetnews.com)
this post was submitted on 22 Apr 2025
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Maybe I misunderstood, are you saying all hallucinations originate from the safety regression period? Because hallucinations appear in all architectures of current research, open models, even with clean curated data included. Fact checking itself works somewhat, but the confidence levels are off sometimes and if you crack that problem, please elaborate because it would make you rich
I've explored a lot of patterns and details about how models abstract. I don't think I have ever seen a model hallucinate much of anything. It all had a reason and context. General instructions with broad scope simply lose contextual relevance and usefulness in many spaces. The model must be able to modify and tailor itself to all circumstances dynamically.