There is no one solution that applies to multiple unspecified problems.

Pick a specific one if you want actual discussions and answers.

The (true) joke at the time was that it was like a swimming pool with a little corner marked “no peeing zone”.

Shapez 2

It will feel mundane and we will be mostly concerned with daily struggles.

Remember that we’re living in our predecessors exciting future.

Yeah I don’t think we actually disagree much here. :)

I think my angle is just slightly different? I see that ease of access (eg cloud) make it possible for a lot more uncurious and clock-out people to enter the field and pass as competent. To be honest, even the modest introduction of auto-formatting editors are easy to see as good and useful, but I also feel that they allowed shoddy work to look passable at first glance. AI will make this a lot worse.

But as for the actual people who have it in them to be competent, people that were always there and still are, cloud is not going to make them worse.

Oh, nice! I had the same question in my head a few times, so going to check out Piefed.

Sometimes it’s the noise of tagalong comments, and sometimes it’s discussing with rude or unhinged people where I really try to be helpful and polite with them but fuck if I want to get upset during my bedtime poop session by getting a notification and reading what they have to say.

Sorry if I missed it, but did he have any thoughts on the 40th anniversary edition?

The Steam trailers don’t make it look good. High-fidelity models with low-fidelity movement kida graphics that feels off-putting and disconnected. Like the HoMM HD remake or the hi-res Minecraft graphics mods.

I understand.

Obviously, “knowing which cloud services to enable” is a lesser skill than knowing how those services work. That is not a parallel or equal skill in any way.

But do you assume people are just going drrrrr brain off when they don’t learn that one skillset you are accustomed to spotting?

Yeah I can see that.

However, you are now arguing a different point than I am getting from your original post. Maybe my fault in interpretation ofc, but the main difference (in my view) is:

You say “incompetent” and “less skilled” as general statements on senior engineers. Those statements are false.

You also say “missing the skills you are looking for” which is obviously true.

And the implication that before cloud, people developed the specific skills you need more naturally - because they had to. This makes sense and I believe it.

That being said, I am genuinely frustrated by how little people know or care about the plumbing these days. :D

I am so fucking tired of seeing someone spin up 3 cloud databases for what could be a 40k in-memory hashtable.

That is technically correct in a way, but I’ll argue very wrong in a meaningful way.

Cloud services are meant to let you focus less on the plumbing, so naturally many skills in that will not be developed, and skills adjacent to it will be less developed.

Buttttt you must assume effort remains constant!

So you get to focus more on other things now. E.g. functional programming, product thinking, rapid prototyping, API stuff, breadth of languages, etc. I bet the seniors you are missing X and Y in have bigger Zs and also some Qs that you may not be used to consider, or have the experience to spot and evaluate.

Yeah, funding is kinda not. I assumed the question was ignoring that, but I may have been mistaken.

Tsetlin machines are the ones I found most interesting. Strict yes/no logic stuff in the actual decision model, while the deeper complexity is in the training.

One interesting science field is “discrete AI” (probably has a few other names) which basically technically means “based on integers instead of floating point numbers”. It has a few more implications on the models being more mathematically clean, but that’s a long paragraph if I get into it.

The expecations are AI that is not based on absurd computing resources and black boxes, but getting the same benefits from low-power low-cost hardware and with outputs that can be more realistically queried to explain why the output became what it was.

E.g. if AI is used to make decisions on when to feed fish, and it feeds slightly too much, you’d want to be able to ask “why” and get a useful answer instead of today’s “yeah idunno magic computer said so i guess training data lol”

Norway is quite literal: The way north.

It used to describe the coastline full of seaside trading towns before someone got the idea to make it a country.

The literalness also shows up in all the names for places in the country. They are 90% old spellings of “The place where people live”, “the field for cows to feed on”, “the settlement at the north of the fjord”, “upper farm”, “valley settlement”, and like 1837 places called “a place you can live”.

Sometimes, the feeling of “how big” a thing is, is extremely attractive. It is easy to fall into a trap of enjoying the bigness so much that it makes absurdly unfounded but attractively dramatic outcomes feel more “correct” than boring but realistic ones.

Keep that in mind when thinking about AI

Muh business model :'(

Whut

I think this doesn’t really make sense for MS as a cost saving measure. It is a signal in order to sell copilot and other snaike oil to other companies hoping to cut costs.

Oh this game is FUCKED

Thanks! I am starting to think a steamdeck is going to be my solution. SteamOS on my tiny nongaming Linux laptop works perfectly for 2D or light 3D games, so I expext it to be fine.