How is this worse than a human reading your blog/code, remembering the key parts of it, and creating something transformative from it?
But if we're going to dig into this a bit, one person reading my code, internalizing it, processing it themselves, tweaking it and experimenting with it, and then shipping something transformative means that I've enhanced the knowledge of some individual with my work. It's a win. They got my content for free, as I intended it to be, and their life got a tiny bit better because of it (I hope).
The opposite of that is some massively funded company taking my content, training a model off of it, and then reaping profits while the authors don't even get as much as an acknowledgement. You could theoretically argue that in the long-run, a LLM would likely help other people through my content that it trained on, but ethically this is most definitely a more-than-gray area.
The (good/bad) news is that this ship has sailed and we now need to adjust to this new mode of operation.
Taking out the "training a model" part, the same thing could happen with a human at the company.
But again - this doesn't stop me from continuing to write and publish in the open. I am writing for other people reading my content, and as a bouncing board for myself. There will always be some shape or form of actors that try to piggyback off of that effort, but that's the trade-off of the open web. I am certainly not planning to lock all my writing behind a paywall to stop that.
Once an AI has hoover up your work and regurgitated it as it's own, all links back to the original creator is lost.
The whole point of software engineering is to do stuff faster than you could before. It is THE feature. We could already add, we could already FMA, we could already do matrix math, etc. etc. Doing it billions of times faster than we could before at far less energy expenditure--even including what it takes to build and deliver computers--has led to an explosion of productivity, discovery, and prosperity. Scale is the point. It changes everything and we know it; we shouldn't pretend otherwise.