Unverified50% confidenceFactExact time
Researchers including Tal Ullman at New York University found that GPT-4's performance dropped sharply when classic theory-of-mind tests were modified slightly, suggesting the model may be performing surface-level pattern matching.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedA 2023 Stanford University study found that GPT-4's performance on certain tasks showed a measurable decline over several months.77% similarVerifiedA 2023 study by Chen et al. at Stanford University confirmed that GPT-4 exhibited significant fluctuations in mathematical reasoning ability over the course of several months.75% similarUnverifiedKosinski's (2023) research shows that GPT-4 performs close to human level on standard false-belief tasks.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/894896API
curl https://kongchang.com/api/v1/knowledge/claims/894896MCP
get_claim(id=894896)