When Google's results are garbage I will sometimes ChatGPT or others. This is increasing, but that has more to do with Google producing ever worsening results than any desire to use LLMs to "search".
Google wants to show me products to buy, which I'm almost never searching for, or they're "being super helpful" by removing/modifying my search terms, or they demonstrate that the decision makers simply don't care (or understand) what search is intended to accomplish for the user (ex: ever-present notices that there "aren't many results" for my search).
Recently tried to find a singer and song title based on lyrics. Google wouldn't present either of those, despite giving it the exact lyrics. ChatGPT gave me nonsense until I complained that it was giving me worse results than Google, at which point it gave me the correct singer but the wrong song, and then the correct song after pointing out that it was wrong about that.
Still can't get Google to do it unless my search is for the singer's name and song title, which is a bit late to the party.
I thought my mom decided for reasons lost to me that I should have a computer, and bought one for me in 1982 or so, but according to her it was entirely my idea. No clue what prompted it. Perhaps reading science fiction.
> Packaging and deployment will soon be solved problems ...
I hope so. Every time I engage in a "Why I began using Go aeons ago" conversation, half of the motivation was this. The reason I stopped engaging in them is because most of the participants apparently cannot see that this is even a problem. Performance was always the second problem (with Python); this was always the first.
Give me a break, I read the article, I'm not convinced does anything to further his specific claims about the community. Frankly the whole thing is just a rant about how things were better back when.
"But the tradecraft is slipping. Analysts are skipping the hard parts. They’re trusting GenAI to do the heavy cognitive lifting, and it’s changing how we operate at a foundational level."
Next we're going to be hearing about how participation trophies and DEI are also contributing to this imagined "problem."
I usually click through to the repo, and it isn't in the README for some reason. I don't blame GP for missing it. https://github.com/dropseed/plain
Of course, GP would've noticed it's like Django on the web page. The screenshot containing Django-like example code is above the fold, though - the Django mention is below the fold.
I’m sure that’s a factor, however we need to probably also acknowledge that “younger people” (whether developers or managers or etc) lack exposure to things that were genuinely better previously (and where technology is concerned there are many examples), and thus have no mental model for it. They literally don’t know any better, and they’re operating within that framework.
Crude oversimplification: if all you’ve ever known are slow and bloated web app UIs on mobile phones, you’re simply not going to know how to make good design/development choices outside that environment.
Individuals who have to do work in order to use your content to do work to create their own content is qualitatively different than automation trivially doing whatever.
There is not.