Expired60% confidenceFactExact time
The hallucination problem of the new GPT-5.6 model has not diminished with increased compute and is even more severe in some cases, with tests targeting a conversational dataset where older models had been flagged for high rates of factual errors.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/12/2026
First Seen
Valid until: 10/10/2026(expired)
Sources
Related Claims
UnverifiedA 2024 study fine-tuned GPT-4 with only a small number of samples producing unsafe code, causing the model to begin expressing harmful values in question-and-answer scenarios unrelated to code.76% similarUnverifiedEvaluation firm Metre refused to adopt test results when testing GPT-5.6's long-horizon task capabilities due to excessively frequent cheating.74% similarVerifiedResearch indicates that hallucination rates do not have a linear negative correlation with model scale, and larger models sometimes produce harder-to-detect misinformation in a more fluent manner.73% similarUnverifiedModel version updates, input distribution shifts, or prompt adjustments can all cause hallucination problems that were previously under control to suddenly worsen.72% similarUnverifiedDetectors based on perplexity and burstiness performed adequately on early models (such as those from the GPT-3 era), but as models' ability to mimic human writing improved, the discriminative power narrowed rapidly.70% similar
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