Agreed, it clearly isn't a matter of left vs right. It's about liberal vs illiberal values. Unfortunately for all of us, liberty is falling out of favor.
I can see where this idea is coming from, but I don't agree with the conclusion at all. As someone who loves solving puzzles and learning new things, AI has been a godsend. I also very much like creating things, but even more than that, I like doing all three at once.
I think of AI like a microdose of Speed Force. Having super speed doesn't mean you don't like running; it just means you can run further and more often. That in turn justifies a greater amount of time spent running.
Without the Speed Force, most of the time you were reliant on vehicles (i.e. paying for third-party solutions) to get where you needed to go. With the Speed Force, not only can you suddenly meet a lot more of your transportation needs by foot, you're able to run to entirely new destinations that you'd never before considered. Eventually, you may find yourself planning trips to yet unexplored faraway harsh terrains.
If your joy in running came from attempting to push your biological physical limits, maybe you hate the Speed Force. If you enjoy spending time running and navigating unfamiliar territory, the Speed Force can give you more of that.
Sure, there are also oddballs who don't know how to run, yet insist on using the Speed Force to awkwardly jump somewhere vaguely in the vicinity of their destination. No one's saying they don't exist, but that's a completely different crowd from experienced speedsters.
My experiences are not universal but apart from hardware and maybe $10 for a VPS for hosting, I do not find the need to pay for third-party solutions; I quite like this situation, and I do not find myself particularly constrained taking a little extra time or having to think a bit harder. But, my friend, I must ask, what are LLMs if not third-party solutions with sizable expenditures?
You may be an exception, but most businesses and many individuals pay for a laundry list of commercial software products. If you count non-monetary forms of payment (i.e. data and/or attention to ads), that expands to virtually everyone with access to a computer.
Time, effort, and skill being equal, I would suggest that AI access generally improves the quality of any given output. The issue is that AI use is only externally identifiable when at least one of those inputs is low, which makes it easy to develop poor heuristics.
No one finds AI-assisted prose/code/ideas boring, per se. They find bad prose/code/ideas boring. "AI makes you boring" is this generation's version of complaining about typing or cellular phones. AI is just a tool; it's up to humans how to use it.
This reminds me of the time I printed a poster with a blown up version of some image for a high school history project. A classmate asked how I did it, so I started going on about how I used software to vectorize the image. Turned out he didn't care about any of that and just wanted the name of the print shop.
It's high-interest to me because open models are the ultimate backstop. If the SOTA hosted models all suddenly blow up or ban me, open models mitigate the consequence from "catastrophe" to "no more than six to nine months of regression". The idea that I could run a ~GPT-5-class model on my own hardware (given sufficient capex) or cloud hardware under my control is awesome.
YMMV, but I've found that I actually do way more of that type of "thinking hard" thanks to LLMs. With the menial parts largely off my plate, my attention has been freed up to focus on a higher density of hard problems, which I find a lot more enjoyable.
Yup, there is a surprisingly high amount of boilerplate in programming, and LLMs definitely can remove this and let you focus on the more important problems. For a person with a day job, working on side projects actually became fun with LLMs again, even with the limitation of free time and mental energy to invest in.
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