I think the GP is alluding to understanding the fundamental way a thing works.
They have some files, synced to OneDrive and do everything else fully online (Canva, etc.)
Most of them have never seen a computer with a drive other than C:
> widespread, cheap AI makes it easier for the average person to learn how things around them work, if they are so inclined.
It looks to me that the far more common use case will be to manipulate technology rather than understand it.The example with the synth is excellent. Today that kind of work demands somebody knowledgeable operate the AI harness. In short order, the AI may very well come up with the solution of looking online for example programs to decompile without the user even understanding what that means.
The Terrestrial Federation is at war with Deneb, and the war is conducted by long-range weapons controlled by computers which are expensive and hard to replace. Myron Aub, a low grade Technician, discovers how to reverse-engineer the principles of pencil-and-paper arithmetic by studying the workings of ancient computers which were programmed by human beings, before bootstrapping became the norm—a development which is later dubbed "Graphitics"." [1]
What's wrong with (screen-, probably) keyboard?
Pen&pencil-> create something from (almost) nothing. Stylus input-> subpar slow interface for computation.
Ipad data storage above par organisational help (no loosing lousy stuffed in bag paper).
I kinda liked the AI to transpose handwritten/drawn notes into digitally orderable artifacts. Seen a couple Show HNs. Are there any advances in the field (preferably OSS or one time purchaseable as alternatively)
(To add on to this: the utter physical imprecision of stylis pens is annoying. I can FEEL where a sharpt tip of a tool that is elongating my hand touches a surface and how it moves on a very fine scale/resolution. Probably not a problem for people who have not developed highly sensitive sensomotor perception because they grew up with a lot of flattness in there surrounding and not much plasticity, but: my god are these things clumsy. I always want to reach for a sharpener when i use an apple pencil lol.
I don't see an AI-as-explainer future where expertise isn't sacrificed en masse.
Capitalism rarely supports a currently economically unproductive alternative for future good reasons.
The recent AI tech layoffs are a warning sign that corporate leaders will happily shoot their company's (and the future's) expertise to pad next quarter's financials and trust in 90% correct, but much cheaper, AI.
No, there isn't. You get things explained in University. Then you build on top of this knowledge.
You are explained things (least important part) and then you invest substantial amounts of time in practicing and exercising those new skills.
Then, in your junior level jobs, the same cycle repeats.
That exercise component isn't going to happen in university with AI in the loop, because AI will be able to shortcut basic practice.
And it isn't going to happen in junior level work, because AI will be able to do those jobs more economically efficiently.
See previous from HN fp for a more eloquent explanation: https://ergosphere.blog/posts/the-machines-are-fine/
I mean: I can only go back so far, but I remember the 1980s well-enough. At that time, most of the new information that came into my brain from outside was sourced from public schools, newspapers, and the evening news on TV.
None of these sources were particularly unfiltered, uncensored, or unbiased. It was always an abbreviated approximation of someone else's idea of the truth.
I started digging a few times, but, I prefer the "magic".
Hopefully, there will never be a time when at least some folks are not reading books such as:
- On startup processing begins at a known address, and you put the bootloader code over there. Hardware engineers can guarantee this for you.
- Every time you execute an assembly instruction, the program counter either explicitly jumps to a new location or else it just increments by 1. Hardware people can also make this happen as easily as implementing an adder.
Don't get me wrong, there are LOTS of layers between the hardware and most "useful" programs any of us will ever write. But all of them are pretty understandable. They're often not very complicated, just tedious.
Doesn't the one explain the other ? It may be turtles all the way down, but at some point there's a fundamental turtle - be it LEA or CMP ?
They will be exposed to this technology throughout childhood as their brains develop and they will develop unique ways to work with it we don't entirely understand just like GenY with cell phones and GenX with home computers. I think you deeply underestimate how adaptable we are as a species, but if you consider that we've been running the same OS and Bios as a species for the past ~40K years, perhaps you might be more optimistic?
Probably a lesson in there somewhere.
I guess tech unsavvy people who are easily amused by LLM tricks will always exist, but they'll be an increasingly smaller minority as time goes on.