Daniel Barabander
@dbarabander
Good crypto x AI projects leverage the features of crypto to overcome limitations faced by AI. Here are three examples of challenges of AI: 1. Resources. To be competitive as an AI company you need to aggregate significant resources (compute and data) and talent. 2. Composability. Agents cannot reliably chain actions together. 3. Native Payments. Agents, while nearly infinite in their ability to act on a web made up of natural language, remain restricted by the fact that payment rails do not exist on internet rails. These challenges can be solved through separate features of crypto: economic ownership, verifiability, and self-custody.
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Lost Midas
@lostmidas
Enhancing AI with crypto may also include: - Token rewards for quality data - Crypto-powered compute for decentralized AI - Zero-knowledge proofs to protect privacy - Blockchain for user data control & monetization - Crypto standards for AI interoperability - Micropayments for seamless AI-user interactions
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