I think that engineering progress made while building those machines are maybe more relevant for practical technical development than the discovery they make.

Better superconductors here. Would you like a $20 MRI down at your local drug store to detect cancer at early stage 1?

The problem isn't the cheaper MRI. The problem is the expert that needs to interpret the results. Detecting millions of cancers that don't actually exist doesn't help anybody.

This is a problem domain AI is good at. Have AIs do first-pass, then when they flag something an actual doctor reviews it. Then if they concur it goes to your doctor, who knows you, who can review it.

Moreover, till to this day at an advanced level knowing how to drop at the assembly level or knowing computer architecture is a valuable skill

It's always cited as an example, and it's highly impressive yes, but it's also highly focused, with a very partial feature set, I'm not sure that type of coding is applicable to mass scale software.

I have not tried it yet, but seems nice : https://leetgpu.com/

Isn't the role of a concept artist mainly to do worldbuilding and drawing second? AI does not seem to have a good world model, they make pretty pictures but they lack thought behind them.

Agreed, and I think there are a number of... over-enthusiastic executives with dollar signs in their eyes who are in for a rude awakening about this. It might sound great to replace your artistic staff with an LLM subscription, until you realize that you laid off all the creative vision with them. That isn't to say I think it'll go away though, I wouldn't be surprised if art students in the future are taught how to wrangle LLMs to supplement their own designs.

I really don't know the details.

You can see a concept artist here discovering he stopped getting work after a company splurted out that they switched to AI.

https://twitter.com/_Dofresh_/status/1709519000844083290

My guess is that a lot of people can have ideas, so you don't need an artist to bring them to life anymore.

I don't think the fact that remote work is not possible for other professionals is relevant. If it is about fairness, you could say it is even an advantage for other workers since it means less traffic congestion, better access to restaurant and less land use.

That's the issue with a lot of educational ressource, they don't tell about the problems that are to be solved. For OOP for example, I would an iteratively built ressource that present a problem then a first solution, and the new problems that it introduces, and so on.

Damn, I tried really hard to be good at computers and only achieved mediocrity. It was lonely, made me miss lots of other stuff in life and now I can only try to just be barely competent. I am really happy for you, but it just reminded that I have almost surely missed my shot at life and at getting those kind of memories. Hey at least I get to live in interesting times.

It just lack the GPT powered "prompt engineer".

In my experience, the more someone has deep understanding in tech, the more they are critical of it. Especially true in my field of infosec.

I think as people gain experience, they can start substituting experience and cynicism for actual first principles thinking and curiosity.

> the more someone has deep understanding in tech, the more they are critical of it.

I think the criticism comes mostly from people with just a little knowledge, trying to sound and feel like they know more. Just a few talking points or principles enable you to criticize, but not seriously analyze (much less create).

Everyone is a cynic simply because cynicism is easy. Any infosec professional can go "computers are insecure, never use them". And the advice will be correct, but ultimately useless. The ones worth anything won't just point out problems but also find solutions.

Yes, it's called counter-signaling.