I think in five years — if the tools manage to stick around — finding coders that can work without AI assistance will be like finding skilled assembler developers.
EDIT: Yep I’m definitely a bot because I typed an em dash. You can be a bot too on Ubuntu by hitting control+shift+u and then typing 2014 (the last year of semi-sanity in US politics).
Most of Africa, from what I heard from African developers.
There are still large patches where the internet has outages often, data centers there too suffer from it. Same with energy, depending on the region it is not a guarantee.
(This is of course a consequence of Africa still transforming and putting up infrastructure, and it varies vastly depending on the region).
It’s hard to code with remote LLMs if they can go dark for half a day, and it is pricey to have it running on a local stack (at good token output speed).
To stay with the paint analogy, AI is more like a paint roller that can paint by itself.
Just tell it what color you want the room to be, and walk away. Did it remove the original coat properly? Sand, prime, and double recoat? No idea, it looks good at the moment. But we’ll find out in a couple years when the cracks and bubbles start showing.
…which would be a useful continuation of the analogy if not for the fact that 95% of human house painters rush through jobs, cut costs on materials, and overcharge.
Just like every other new technology before it, those who oppose love to compare the lowest quality output of the new technology to the output of the Top 5% of human craftspeople.
For anything AI can do, there are MILLIONS of lazy humans taking 100 times longer pumping out the same or worse quality work at 10 times the cost.
Eh, not really, and it isn’t really an argument but more of a lighthearted prediction.
I think the big question is whether or not the “frontier” models continue to be available and evolve, because the business model for running them seems very unsound.
I kinda hope the AI bubble busts, and that afterwards some of the efforts turn toward making open source models more performant and powerful.
I think in five years — if the tools manage to stick around — finding coders that can work without AI assistance will be like finding skilled assembler developers.
EDIT: Yep I’m definitely a bot because I typed an em dash. You can be a bot too on Ubuntu by hitting control+shift+u and then typing 2014 (the last year of semi-sanity in US politics).
Sweet. I’m set for life, and I’ll get to be one of those devs that tells the bosses what I’ve decided to work on.
Can I join your dream?
As a senior c/c++ expert I hope it comes true but somehow I doubt it 😔.
And how much you’ve decided to work for.
Or a life of fixing AI slop the AI sloppers generate but can’t fix.
The next question is, who is going to be looking for them?
Most of Africa, from what I heard from African developers.
There are still large patches where the internet has outages often, data centers there too suffer from it. Same with energy, depending on the region it is not a guarantee.
(This is of course a consequence of Africa still transforming and putting up infrastructure, and it varies vastly depending on the region).
It’s hard to code with remote LLMs if they can go dark for half a day, and it is pricey to have it running on a local stack (at good token output speed).
Excellent answer.
Find the bot with the mdash
Said the AI comment.
Isn’t the entire point of computers to achieve a result faster than we could without them?
Your argument seems like bemoaning the invention of the paint roller because people won’t learn how to use brushes or their hands to paint walls.
Work output isn’t inherently more valuable just because the job was harder to do, or took more effort.
To stay with the paint analogy, AI is more like a paint roller that can paint by itself.
Just tell it what color you want the room to be, and walk away. Did it remove the original coat properly? Sand, prime, and double recoat? No idea, it looks good at the moment. But we’ll find out in a couple years when the cracks and bubbles start showing.
…which would be a useful continuation of the analogy if not for the fact that 95% of human house painters rush through jobs, cut costs on materials, and overcharge.
Just like every other new technology before it, those who oppose love to compare the lowest quality output of the new technology to the output of the Top 5% of human craftspeople.
For anything AI can do, there are MILLIONS of lazy humans taking 100 times longer pumping out the same or worse quality work at 10 times the cost.
Eh, not really, and it isn’t really an argument but more of a lighthearted prediction.
I think the big question is whether or not the “frontier” models continue to be available and evolve, because the business model for running them seems very unsound.
I kinda hope the AI bubble busts, and that afterwards some of the efforts turn toward making open source models more performant and powerful.