You change frameworks and tools pretty frequently but they are still all built around the same building blocks: html, css, javascript etc. It's pretty much the

You change frameworks and tools pretty frequently but they are still all built around the same building blocks: html, css, javascript etc. It's pretty much the same in ML. These people built the building blocks that we still use in ML everyday (e.g. backpropagation, ConvNets etc). But the fine-tuning, packaging and tooling of these techniques also changes all the time and it can be hard to keep up. Having moved from full-stack web to ML I have a similar feeling about the pace of things.