The Ethereum Foundation has established a dAI team. What are the highlights?

Finally! The Ethereum Foundation has established the DAI team. I'm curious: What were they doing earlier? I've repeatedly emphasized in numerous articles that AI agents will be the "redemption" of many crypto narratives. Ethereum's technological debt is already too heavy to solidify its position as a decentralized, secure settlement layer for global public blockchains. It needs a new application scenario that can refresh its legacy technology, and AI agents are likely to be that. So, what are the highlights of what the DAI team plans to do? 1) Creating an "AI Economy on Ethereum," allowing AI Agents to autonomously coordinate payments on-chain and eliminate middlemen, will require the maturity of many other AI infrastructure components: for example, AI Memory contextual memory solutions, AI Oracle real-time dynamic price feed solutions, AI Processor or Multi-Agent autonomous coordination and management scheduling platforms, AI Agent autonomous DAO governance solutions, and so on. Following @VitalikButerin's tradition of hitting the mark, will this drive a wave of AI component innovation within the Ethereum ecosystem? 2) As for the Decentralized AI Stack, which touts the slogan of "open, verifiable, and censorship-resistant" AI infrastructure, the problem is that "openness" and "censorship-resistant" are almost non-existent at this stage. Because core computing power and models are controlled by giants like OpenAI, Anthropic, and Google, web3AI is completely constrained by an API hook and has no initiative before decentralized computing power, algorithms, and federated learning platforms mature and are applied on a large scale. Currently, the only thing that can be trusted is "verifiability." In AI agent scenarios, technologies like ZK-Proof and TEE can be applied on a large scale, which will bring more room for imagination to the ZK track. As for the ERC-8004 goal mentioned in the announcement to solve the identity verification standard for AI agents, I don't think it is a starting point for innovation, but it seems that any budding technological innovation on Ethereum will begin with establishing standards. As for the concept of d/acc, it’s even more touching, but it’s not important. If Ethereum wants to truly become the “neutral base layer” of AI, it needs not only technical standards, but also the rapid development of killer applications and developer ecosystems.