This is also true for pretty much any other category of search that you do as a layman. Specific, targeted queries for official documentation or research are fine, but if you look up basic information about cars, health, or basic computer troubleshooting a massive portion of the results are AI-generated.
If I'm going to be getting AI-generated results, I'd rather read the output of a model that has all the context of my specific situation than slop generated in bulk with a cheap model from six months ago.
As someone who also menu-3-1'd their way through the SAT, I'm surprised it was ever allowed. Super useful outside of school but knowing that a good portion of my classmates using Ti-84s were doing the same problems on paper felt rather unfair.
I can't help but feel this is backpedaling after the AI hype led to people entering university avoiding computer science or those already in changing their major. Ultimately we might end up with a shortage of developers again, which would be amusing.
The problem is that it genuinely is. One of the appeals of AI is that you can focus on planning instead of actually doing running the commands yourself. If you're educated enough to be able to validate what the commands are doing (which you should be if you're trusting an AI in the first place), then if you have to individually approve pretty much everything the AI does you're not much faster than just doing it yourself. In my experience, not running in YOLO mode negates most advantages of agents in the first place.
AI is either an untrustworthy tool that sometimes wipes your computer for a chance at doing something faster than you would've been able to on your own, or it's no faster than just doing it yourself.
If I'm going to be getting AI-generated results, I'd rather read the output of a model that has all the context of my specific situation than slop generated in bulk with a cheap model from six months ago.