Ethereum (ETH) co-founder Vitalik Buterin (비탈릭 부테린) has begun an experiment to test artificial intelligence’s ability to infer information and the limits of online privacy. It is an attempt to see how far sensitive personal information can be reconstructed using only publicly available data.

On June 22, blockchain outlet U.Today reported that Buterin recently posted a challenge titled “Find my secret document” to test AI’s ability to search for information.

The experiment is not aimed at simply showing off AI performance. It focuses on checking personal data protection issues by seeing how close AI can get to intentionally hidden information or non-public materials by analysing information 공개 on the internet and various online traces.

As generative AI rapidly expands search, document analysis and data organisation functions, its ability to link and infer across public information has also improved significantly. This has heightened concerns that unexpected information could be revealed from fragmented records individuals leave online.

Buterin has consistently stressed the importance of safety and control mechanisms during the development of AI technology. This experiment is also interpreted as being strongly aimed at drawing attention to the possibility of privacy 침해 that may arise alongside the convenience of using AI.

The issue is also sensitive in the cryptocurrency industry. Blockchain networks have a structure in which transaction histories are public, meaning there is a possibility of identifying specific individuals if wallet addresses, on-chain activity, social media records and public remarks are linked. In such an environment, stronger AI inference capabilities could increase concerns about personal identification and exposure of sensitive information.

Buterin’s experiment is seen not as a product announcement by a specific service or company, but as a case that highlights how vulnerable privacy defences could become as AI adoption spreads.

The outlet did not disclose specific methods or results. It said the experiment is meaningful in that it has sparked social discussion about how far AI can go in finding sensitive information using only public data.

The industry believes that as the use of generative AI spreads rapidly, protecting personal information and securing control over data will emerge as key tasks. Buterin’s experiment is also drawing attention as a case that checks how robust privacy defences are in the AI era.

There have recently been claims that AI text analysis will make online anonymity untenable. So let me cannibalize a piece of my own anonymity to do an experiment. At some point this decade, I wrote a published document of medium importance to Ethereum - I estimate ~200 to 2000…