You are assuming a crazed uber driver is smart and knowledgeable enough to do that, but 90% of people driving ubers to start with are doing so because they don't have those kind of skills or knowledge.
> Because the tool threatens to put the majority of them out of business and jobs.
Unfortunately technology has done this for centuries now, and everyone may as well quit whining get used to it, because it's not going to change. The market can "stay irrational" longer than they can afford to complain.
> On the creative side, I feel like punk act like this, fighting back against all these throat-shoving and gaslighting, is pretty artistic.
Joining a moral panic mob isn't punk; it's just irrationality. The "AI is evil" crowd is just as idiotic as the "AI will do everything perfectly" crowd. They're married to ideology and are more than willing to bury themselves alive for it.
Making a minor-to-moderate sacrifice of convenience/money so that your actions align with your ideology and beliefs is extremely common human behavior. Organic food. Clothes made in the US instead of a sweatshop. Following a religion's customs e.g. Sabbath.
There are plenty of good reasons to not want to use gen AI (and many stupid ones as well). If someone wants to market their product that way, who cares
The difference is that Bloomberg Terminals were always expensive, and so people expected to pay. LLMs are basically free (subsidized) at this point, and people are very sensitive to large price increases.
Sure and I’m sure there would be a huge shock, but simple economics would dictate that if that’s the true equilibrium of price for LLMs to be economical, then it would have to get to the price eventually
The only thing more insufferable than the "AI do everything and replace everyone" crowd is the "AI is completely useless" crowd. It's useful for some things and useless for others, just like any other tool you'll encounter.
The proposition that AI is completely is trivially nullified. For example, it is provably useful for large-scale cheating on course assignments - a non-trivial task that had previously used human-operated "essay mills" and other services.
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