Driving a manual is pretty easy, but it depends on how you handle failure. The learning process requires making a few mistakes while you become familiar with a clutch and shifting gears.
Also, I think it's much easier to learn if you know what the parts are doing. Watch some videos on how it all works and what different RPMs sound like.
I am largely concerned that the development and evolution of generative AI is driven by hype/consumer interests instead of academia. Companies will prioritize opportunities to profit from consumers enjoying the novelty and use the tech to increase vendor lock-in.
I would much rather see the field advanced by scientific and academic interests. Let's focus on solving problems that help everyone instead of temporarily boosting profit margins.
I believe this is similar to how CPU R&D changed course dramatically in the 90s due to the sudden popularity in PCs. We could have enjoyed 64 bit processors and SMT a decade earlier.