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Ethereum co-founder Vitalik Buterin has released his latest blog post titled "Prospects and Challenges of Cryptocurrency + Artificial Intelligence Applications." There are various classification methods for artificial intelligence, and Vitalik categorizes them as follows:
- Artificial intelligence as game participants [Highest feasibility]: AI participants in mechanisms where the ultimate source of incentives is protocols with human input.
- Artificial intelligence as game interfaces [High potential, but challenging and risky with blockchain and cryptographic technologies to create "singleton" apps]: AI helps users understand the crypto world around them and ensures that their actions (i.e., signature information and transactions) align with their intentions, preventing deception or fraud.
- Artificial intelligence as game rules [Caution required]: Blockchains, DAOs, and similar mechanisms directly invoke artificial intelligence. For example, an "AI judge."
- Artificial intelligence as game objectives [Long-term, but intriguing]: The goal of designing blockchains, DAOs, and similar mechanisms is to build and maintain AI usable for other purposes, utilizing encrypted bits to better incentivize training or prevent AI from leaking privacy data or being abused.
The most challenging application is attempting to use blockchain and cryptographic technologies to create "singleton" applications: a decentralized, trusted artificial intelligence on which certain applications will rely to achieve specific goals. These applications have significant potential in terms of functionality and improving AI security, as they can mitigate centralization risks associated with mainstream approaches to addressing this issue. However, there are also many ways in which the underlying assumptions could fail; therefore, caution is warranted, especially when deploying these applications in high-value and high-risk environments. |
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Post time 16-2-2024 12:52:44