Expired50% confidenceFactExact time
The hallucinated-field problem is more severe on newer Anthropic models (Opus 4.8 and Sonnet 5) than on older models.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
Valid until: 10/5/2026(expired)
Sources
Related Claims
UnverifiedTokenizer changes leading to token inflation make Sonnet 5's superficially low price illusory, with actual total costs in certain scenarios far exceeding expectations.67% similarUnverifiedThe 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.65% similarUnverifiedDomestic models still have a certain gap compared to the Claude Sonnet/Opus series on complex code reasoning tasks.63% 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.62% similarUnverifiedHallucination may be an inherent limitation of current LLM architectures rather than a simple engineering flaw, and predictions made a few years ago that 'the hallucination problem will be completely solved within 18 months' have proven overly optimistic.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/126880API
curl https://kongchang.com/api/v1/knowledge/claims/126880MCP
get_claim(id=126880)