Beautiful headline, but it’s all going downhill from there. The article is full of AI hype fueled assumptions and misses the point completely. It’s another just another article in the spirit of “You’re just prompting it wrong, bro”
There’s no denying that these new tools have already revolutionized how we create and use software. […] They may have upgraded the average skill set of software teams in a way we have not seen before.
Yeah sure, dream on. If anything, it has encouraged developers to not use their brain. Great skillset you got there.
3 hoursYeah, I’ve already seen how it’s affected SDEs first hand (since I am unfortunately in the same industry). They generally don’t know how to maintain or create code anymore. Management told them to not use their brain and instead use the slop generator, and now that skill has atrophied.
A silver lining is that some preliminary research shows that after a few weeks to months of not relying on the slop generators, skills can come back with a little effort. I hope the bubble pops and everyone is forced to relearn the skills they lost.
Also, to your point, the article claims models are getting better. A better way to frame this is that models are getting more expensive. LLM giants, at least the US-based ones, have been giving the appearance of improving models by using more resources, which one of the primary reasons they had to move to a pay-per-token system for the latest models. They aren’t all that much better for how expensive they are to operate and use.
I’m denying it, at the very least. Those claims do not hold water.
In fact, if you assume that these claims are outright wrong the rest of the questions in the post basically answer themselves.
