Vitalik Buterin wants the internet to unmask him. Or rather, to unmask one specific anonymous document he claims to have written, using nothing but AI-powered text analysis.

On June 22, the Ethereum co-founder posted a challenge on X, revealing that he authored an anonymous Ethereum-related document published somewhere between 2020 and 2026. He’s now inviting anyone with access to AI stylometry tools to figure out which one it is.

Buterin framed the exercise with characteristic bluntness, stating he was willing to “cannibalize a piece of my own anonymity to do an experiment.” The document, he estimates, ranks among 200 to 2,000 Ethereum-related publications of similar or greater importance within the ecosystem.

Why this matters more than it sounds

Stylometry, the statistical analysis of linguistic style, has been around for decades. Academics have used it to settle debates about Shakespeare’s co-authors and identify the writers behind anonymous political pamphlets. But modern AI has supercharged the technique, turning what used to require painstaking manual analysis into something a large language model can attempt in seconds.

Buterin has one of the most extensive and publicly available writing corpora of anyone in crypto. Between his blog posts, Ethereum Improvement Proposals, research papers, forum comments, and social media output, there are millions of words to train a stylometric model on. If AI can’t identify his anonymous work given that volume of reference material, it tells us something reassuring about the durability of pseudonymous contribution. If it can, the implications are far less comfortable.

As of the post date, no one has publicly confirmed a successful identification. The challenge remains open.

The anonymity paradox in crypto

Cryptocurrency was built on the promise that you could participate without revealing who you are. Satoshi Nakamoto is the founding myth of the entire industry, an anonymous creator whose identity remains unknown despite more than a decade of intense scrutiny.

The Ethereum ecosystem, like much of crypto, relies heavily on pseudonymous contributors. Developers, researchers, and governance participants frequently operate under pseudonyms, contributing to protocols and DAOs without attaching their legal identities.

Buterin has written extensively about the intersection of AI, privacy, and decentralized infrastructure. By using his own writing as the target, he avoids the ethical problems of trying to de-anonymize someone else. And by making it public, he ensures that any successful identification will be scrutinized and verified by the broader community rather than quietly claimed by a single researcher.

What this means for investors and the broader ecosystem

There’s also a regulatory dimension. Governments and enforcement agencies have long been interested in piercing the pseudonymity of crypto participants. If open-source AI tools can perform reliable authorship attribution, regulators won’t need to wait for voluntary disclosure or court orders to identify contributors. They can simply run the models themselves.

For now, the challenge sits unanswered, a public invitation that has generated significant discussion but no confirmed winner. The longer it takes for AI to crack, the better the news is for anyone who values pseudonymous participation in crypto. And if someone does crack it, Buterin will have provided the most concrete evidence yet that writing style is a biometric identifier that current privacy tools don’t adequately protect against.