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Its because the comments he made are inconsistent with common conventions in data engineering.
Basically what he said is ~~incoherent~~ inconsistent with typical practices among data engineers ~~to anybody who has worked with larger data.~~
In terms of using SQL, it's basically just a more reliable and better Excel that doesn't come with a default GUI.
If you need to store data, It's almost always best throw it into a SQLite database Because it keeps it structured. It's standardised and it can be used from any programming language.
However, many people use excel because they don't have experience with programming languages.
Get chatGpt to help you write a PyQT GUI for a SQLite database and I think you would develop a high level understanding for how the pieces fit together
Edit: @zalgotext made a good point.
Great explanation, but I have a tiny, tiny, minor nit-pick
I'm being pedantic, but I disagree with your wording. As a backend dev, I work with relational databases a ton, and what Musk said wasn't incomprehensible to me, it just sounded like something a first year engineer fresh out of college would say.
Again, the rest of your explanation is spot on, absolutely no notes, but I do think the distinction between "adult making up incomprehensible bullshit" and "adult cosplaying as a baby engineer who thinks he's hot shit but doesn't know anything beyond surface level stuff" is important.
Fair point, I've edited the answer to be clearer for future readers.
That's a bad example to reference. The ZFS implementation of deduplication is poorly thought out, and I say that even though I like and run ZFS on my own Linux server(s). I understand that the BTRFS implementation of dedupe works well (no first-hand experience), and the Windows one works great (first-hand experience).
I've had a poor experience with btrfs dedupe tbh (and a terrible experience with qgroups), however, this was years ago. Btrfs snapshots I prefer though, much easier not to have that dependence.
What distro are you using for ZFS, void?
Good to know, thanks. I haven't worked with btrfs much yet. I have ZFS on a Debian server.
It was a great answer until the very last sentence. ChatGPT is never a reference for anything ever if you have any fraction of a brain.
I have a fraction of a brain, I think, and use ChatGPT as a guide so that I have something to start with. Even if it's slightly off, my two brain cells can pick it out and go from there. It's not so bad.
And you know, I get it if you don't like AI, but let's be honest about it at the very least.
To be honest it's a shit solution that makes you worse by merely using it.
I mostly ask it things I don't know, though. I'm not exporting my thinking to it.
I ask it difficult translations, how to code something I'm unfamiliar with, help with grammar, i use it as an OCR for other languages, to help me remember things I can't directly search, etc. I have a hard time believing all use is detrimental, especially when you're filling in the gaps of your knowledge and a best guess will do. It's surely better than a web search for things you don't even know how to write in a search box.
You sound like common sense and the other person sounds like they have an axe to grind.
Exhibit A
Which are then obviously confirmed with a web search. Jesus, spare me the cynicism.
And I'm just going to say this as a general observation, but the user base of the fediverse is pretty sophisticated at this time to be assuming shit like this. You make this place hostile by not giving the benefit of the doubt, you know. And even then. How hard is it to not think the worst of everyone you come across online? So ridiculous and petty.
I disagree, it's just a tool. It's a fantastic way to template applications very quickly, particularly for those who are not already familiar with technologies and may not have the time or opportunity to play around with things otherwise.
Llm is not a search engine and it can produce awful code. This is not production code, it's for tinkering. As a sandbox tool, LLMs are fantastic.
On the ethical side of things, yeah openAI sucks, Qwen2.5 would be up to this task, one can run that locally.
It's a disinformation machine which completely lacks all context. If it's about 85% accurate to average internet denizens and 15% halucination, then it's an absolutely atrocious source to learn from. You're literally lying to yourself, that is what the tool does.
Well Ive ad a great time using LLMs to sandbox a dozen implementations and then investigate the shortcoming and advantages of different implementations.
Mistakes happen a lot but they can be managed on a small MWE with a couple of tests.
It's how the tool is used more than any given tool being bad.
I understand your point and you're not wrong. However, I'm not wrong either and you should take a second look at how you might use these tools in a way that makes your life easier and addresses the valid limitations you've described.