I seldom work on AI. For a few years, my opinion has always been: each wave of AI uses different technology. I don't find a continuous flow in this domain, nor

I seldom work on AI. For a few years, my opinion has always been: each wave of AI uses different technology. I don't find a continuous flow in this domain, nor do I understand its underneath better. So, investing in AI is a large risk: back to my university, the popular AI framework is a neural network, logistic regression, supported-vector machines, etc. Instead, I spent time working on data infrastructure, which keeps evolving but follows a somewhat consistent direction. If you look at databases, the essential building blocks are identical to those fifty years ago. I first worked on Apache Flink and became a committer after one year as a contributor. And then Apache ZooKeeper and Curator, so did become a committer / PMC member. Later TiDB / TiKV and now GreptimeDB. The knowledge and experience is reusable.