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As a non senior data engineer, I think AI can take my job already, except that it requires my company to open up its code base for AI to consume and train senio
by markus_zhang 4y ago
As a non senior data engineer, I think AI can take my job already, except that it requires my company to open up its code base for AI to consume and train seniors to be better prompt engineers so that they spend less time modifying code written by AI. There are a lot of edge cases but I think the tech is already here.
To escape from that fate I'm going to drill deeper into k8s, docker and Linux system programming. I know a better route is to launch a career that translates requirements from business stakeholders and develop an AI-friendly architecture so that our AI lords can conveniently code functions, scripts and programs without much interference. But throughout my career life I have tried my best to avoid that road (because I'm not interested in business), so I have to pick the second best way -- serve our AI lords by maintaining infrastructure for them, just like rhino birds serving rhinos I shall serve our AI lords faithfully in eternity, even after death when my coding skills can be consumed by them.
- stormfather 4y agoI think that's the most dangerous way to go, THB. AI is good at stuff that is very widely represented in its training data, and common pieces of infrastructure that many apps use like docker will be some of the easiest stuff to automate away. "AI, spin up a K8 with these properties like you have for 100,000 others..."
- markus_zhang 4y agoAfter seeing a demo of ChatGPT generating terraform code I have to agree with you. I'm not sure what else can I do though. Looks like AI is indeed going to be very good at everything I love to do, mostly very technical stuffs. I just fed ChatGPT with a bunch of DOS viruses and it did a good analysis. It might take me quite a few months of full time study to reach that level. Do I have to be an entrepreneur? Sigh. I have spent my whole tech life to be away from that road...