Recently, I participated in the second season of a community activity for a leading AI project. Although I couldn't contribute content every time, I followed through the entire process. This experience led me to think about an interesting phenomenon——
The speed of current AI content generation has already far outpaced the pace at which humans can verify facts. Consider this: generating an article might take only a few seconds, but verifying each piece of data, citations, and logical chains within it comes at a completely different cost level. This means the real bottleneck in the entire information ecosystem is no longer "whether to generate," but rather "how to verify."
This carries particularly significant implications for the Web3 community. In a decentralized ecosystem, the authenticity and credibility of information directly impact user decision-making. Whoever can solve the information verification problem in the future may well control the scarcest resource in this wave of AI innovation.
Recently, I participated in the second season of a community activity for a leading AI project. Although I couldn't contribute content every time, I followed through the entire process. This experience led me to think about an interesting phenomenon——
The speed of current AI content generation has already far outpaced the pace at which humans can verify facts. Consider this: generating an article might take only a few seconds, but verifying each piece of data, citations, and logical chains within it comes at a completely different cost level. This means the real bottleneck in the entire information ecosystem is no longer "whether to generate," but rather "how to verify."
This carries particularly significant implications for the Web3 community. In a decentralized ecosystem, the authenticity and credibility of information directly impact user decision-making. Whoever can solve the information verification problem in the future may well control the scarcest resource in this wave of AI innovation.