How Crypto Companies Should Use AI, And How They Shouldn't
Main Idea
The article discusses the intersection of crypto and AI, emphasizing how blockchain can address AI's trust issues while cautioning against deep integration of AI into blockchain systems.
Key Points
1. AI has a fundamental trust problem that blockchain technology is uniquely positioned to solve.
2. Current crypto companies use AI in relatively harmless ways, such as deploying external resources via tools like Model Context Protocol.
3. AI models are vulnerable to attacks like prompt injections and jailbreaks, which are already occurring.
4. The strategic approach suggests avoiding merging AI and blockchain systems entirely; blockchains should focus on governance while AI computation happens off-chain.
5. Blockchain-based reputation systems can track AI agent behavior over time, addressing AI's trust issues without deep integration.
Description
AI has a trust problem that crypto could address, but their intersection also introduces new challenges. Blockchains must preserve their trustless nature.
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