Unverified50% confidencePredictionExact time
OpenAI claims that under specific input distributions, the computational complexity of its method can drop below O(N log N).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
VerifiedThe Fast Fourier Transform reduces the computational complexity of the DFT from the naive O(N²) to O(N log N).74% similarUnverifiedQuicksort has an average time complexity of n log n and degrades to O(n²) in the worst case.74% similarUnverifiedNew shortest path algorithms have proven that the SSSP problem can be solved in complexity below O(m + n log n) under specific graph models.73% similarUnverifiedShor算法将整数分解的复杂度从经典的亚指数级降至多项式级O((log N)³)73% similarUnverifiedNTT (Number Theoretic Transform) can reduce the complexity of polynomial multiplication from O(n²) to O(n log n).73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1013573API
curl https://kongchang.com/api/v1/knowledge/claims/1013573MCP
get_claim(id=1013573)