Vitalik Buterin said Liquid founder Franklyn Wang has successfully identified one of his anonymous experiment documents, ending a writing-style obfuscation test that had been running in public. According to Vitalik, the experiment involved drafting the text in Chinese in 2024, translating it into English with a local Qwen2.5 model, and then manually editing the output to reduce the chance that readers could attribute the document to him based on writing style alone. Despite those steps, Wang was able to trace the document back to Vitalik by focusing on distinctive patterns in the mathematical and algorithmic explanation sections, including the way concrete numerical examples were presented and how attack scenarios were structured. Vitalik had previously said the anonymity experiment had lasted 13 days and that no one had found the document yet, while also hinting that some search efforts and AI scripts were missing categories of documents that should have been included.
The anonymous document was eventually identified
Vitalik Buterin said on X that Liquid founder Franklyn Wang has successfully identified the document used in his anonymity experiment. The test was designed to see whether changing the drafting and translation process could make it harder for others to recognize his authorship from stylistic patterns.
According to Vitalik, he first wrote the material in Chinese in 2024, then translated it into English using a local Qwen2.5 model, and finally made manual edits to fix translation issues. The idea was to obscure his usual writing fingerprint and test whether those changes were enough to prevent attribution.
Even so, Franklyn Wang was still able to identify the document by analyzing recurring habits in the mathematical and algorithmic explanation sections. Vitalik said these included features such as the use of specific numerical examples and the logic used to describe attack scenarios. Foresight News had previously reported that Vitalik said the experiment had been running for 13 days and that “no one had found it” at that point. He also suggested that search efforts should “expand the search range a bit,” adding that a number of searches and AI scripts had missed document categories that should have been included.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
