Unverified50% confidenceBenchmarkExact time
After the labels launched, of 304,071 articles in total, 95.9% (291,657) had no label, 0.3% (881) were Hand Written, 2.6% (7,886) were AI-Assisted, and 1.2% (3,647) were Fully Autonomous, meaning about 1 in every 25 articles carried a label.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedLabel usage is highly concentrated: 109 authors contributed half of the Fully Autonomous articles, 165 authors contributed half of the AI-Assisted articles, while unlabeled articles required 1,422 authors to reach half.78% similarUnverifiedAfter excluding the spam, the share of labeled articles since launch is 3.5% rather than 4.1%, and AI-Assisted is 2.0% rather than 2.6%.74% similarUnverifiedThe author re-rated the 112 items based on the code's actual capabilities: 29 ✅, 64 🟡, 19 ⬜, versus the published status of 43/52/17, with 16 items rated by the author lower than the coverage status the tool publicly claims.68% similarUnverifiedOn the author's internal document corpus, the median Top-1 score for questions with true answers using the ada-002 model is approximately 0.84, while between random unrelated chunks it is approximately 0.72.61% similarUnverifiedResearch by the University of Bonn and Fraunhofer IAIS shows that the same model scored 0.73 on a reasoning benchmark when using the raw text, dropped to 0.52 after personal details were redacted, and rose back to 0.70 after personal information was replaced with consistent pseudonyms.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1033322API
curl https://kongchang.com/api/v1/knowledge/claims/1033322MCP
get_claim(id=1033322)