Yeah, TFA's point is that the basic/inexpensive camera in the hands of an unskilled user can be higher quality than an equivalent iPhone camera shot. In my opinion from the example shots used this is definitely the case. Camera phone distortion is pretty bad (you have to stand back further from your subject offset this, use a higher res setting, and crop in) and the processing has gotten out of hand in recent years to the point where it starts making photos look worse and worse.
It's going to depend heavily on what you're doing. If you're doing common tasks in popular languages, and not using cutting edge library features, the tools are pretty good at automating a large amount of the code production. Just make sure the context/instruction file (i.e. claude.md) and codebase are set up to properly constrict the bot and you can get away with a lot.
If you're not doing tasks that are statistically common in the training data however you're not going to have a great experience. That being said, very little in software is "novel" anymore so you might be surprised.
AI coding tools aren't equally effective across all software domains or languages. They're going to be the "best" (relative to their own ability distribution) in the "fat middle" of software engineering where they have the most training data. Popular tasks in popular languages and popular libraries (web dev in React, for example). You're probably out of luck if your task is writing netcode for a game engine, for instance.
I am retiring from tech after 20 years and embarking on a new career which requires intensive schooling. As a high school and college drop out, I will need to learn how to study again, and want to be as efficient as possible so that I may still spend ample time with my family. Any tips greatly appreciated!
There are other contributing factors as well, intrinsically linked to the evolving social/economics dynamics in our society. For example, it's now much more common for families to have two working parents, and thus less time to prepare nutritionally complete food from scratch. So people naturally gravitate toward engineered food which is easier to prepare, but less "good" as food. There are many other similar effects that lead to Americans eating more/poorer food like advertising, school lunches, etc, but the deck is definitely stacked against this world to reverse the obesity epidemic.
The type of food we eat has a major impact on the prevalence of overweight individuals. The fast/easy food is the most calorie dense, most affordable, and least satiating compared to the food we used to eat 40+ years ago. Even adjusting for eating habits and lifestyle differences (sedentary people tend to get bored and snack) the food itself is just more efficient at delivering calories than it used to be and our population hasn't adjusted to this fact.
I have been using multipass very successfully the past few weeks. It's a full fat VM and has an experience very similar to that of WSL. https://multipass.run/