I think we should label devs overreliant on AI as "Engineers who dismiss themselves"

Personally I prefer "Artificially Intelligent engineers" or "Engineers who outsource intelligence".

I'll take that, but don't see how it's so different from the intent I've always had of "automating myself out of the job". When I want to do "engineering", I can always spin up Factorio or Turing Complete. But for the rest of the time, I care about the result rather than the process. For example, before starting to implement a tool, I'll always first search online for whether there is already a good tool that would address my need, and if so, I'll generally utilize that.

The nondeterminism is what makes LLMs different.

You download a tool written by a human, you can reasonably expect that it does what the author claims it does. And more, you can reasonably expect that if it fails it will fail in the same way in the same conditions.

Cracktorio! ;) I also love Dyson Sphere Program.

I wrote some Turing Machine programs back in my Philosophy of Computer Science class during the 80's, but since then my Turing Machine programming skills have atrophied, and I let LLMs write them for me now.

Perhaps in that case the critics should bend their ire on the marketing departments, rather than trashing the tech?

Really though, the potential in this tech is unknown at this point. The measures we have suggest there's no slowdown in progress, and it isn't unreasonable for any enthusiast or policy maker to speculate about where it could go, or how we might need to adjust our societies around it.

> it isn't unreasonable for any enthusiast or policy maker to speculate about where it could go

What is posted to HN daily is beyond speculation. I suppose a psychologist has a term for what it is, I don't.

Edit: well, guess what? I asked an "AI":

Psychological Drivers of AI Hype:

  Term                   | Driver                | Resulting Behavior

  -----------------------|-----------------------|------------------------------

  ELIZA Effect           | Symbolic projection   | Treating a script like a person.

  Automation Bias        | Cognitive offloading  | Trusting AI over your own eyes.

  Techno-Optimism        | Confirmation bias     | Ignoring risks for "progress."

  Interface Familiarity  | Fluency heuristic     | Friendly UI = "Smart" system.

By the way, the text formatting is done by the "AI" as well. Asked it to make the table look like a table on HN specifically.

idiocy, delusion, propaganda, lies, and manipulation are a few terms i came up with off the top of my head

At least AI can write grammatically correct sentences and use punctuation and proper capitalization.

As a 0.1x low effort Hacker News user who can't lift a pinky to press a shift or punctuation key, you should consider using AI to improve the quality of your repetitive off-topic hostile vibe postings and performative opinions.

Or put down the phone and step away from the toilet.

while they're definitely overdoing it, i'd say that picking on spelling, grammar etc instead of the content is also low effort

i'm right and he's mad

AI is for idiots

You sound quite mad by both meanings of the term.

And you just unwittingly proved my point, so I'm downgrading you to an 0.01x low effort Hacker News user.

If there are no other effects of AI than driving people like you out of the industry, then it's proven itself quite useful.

Edit: ok I will concede that point to you that I was mistaken about 0.01x, for candidly admitting (and continuously providing incontrovertible proof) that you're only a 0.001x low effort Hacker News user. I shouldn't have overestimated you, given all the evidence.

0.001x

> You want to market to engineers, stick to provable statements.

And that's where the "AI" is lacking.

"AI can write a testcase". Can it write a _correct_ test case (i.e. one that i only have to review, like i review my colleague work) ?

"AI can write requirements". Now, that i'm still waiting to see.

> Can it write a _correct_ test case

And is the test case useful for something? On non textbook code?

spoiler: it is not

AI developers are 0.1x "engineers"

Is it possible you're not the target audience if you are aware that LLMs are impressive and useful? Regardless of the inane hype and bubble around them.

You have to be particularly gullible to fall for these tactics. Especially when the quality of LLM products has declined over the last 18 months.

Allow me to repeat myself: AI is for idiots.

Nah, LLMs have fixed search. For now. I use them daily for that.

Fully expect them to include youtube levels of advertising in 1-2 years though. Just to compensate for the results being somewhat not spammy.

The other option is traditional search engines, which are chock full of spam.

Or perhaps Kagi, but apparently they only give you the tools to exclude the content farms, they don't exclude them themselves.

It does require excluding things yourself, but I've had a lot of success with uBlacklist. Some of the spam sites all have certain common characteristics that you can specifically search for to come up with a full search result of spam domains

Why? I'm happy to spend VC money while they're offering it. If and when they stop giving me an offering that I'm satisfied with, I'll stop using it.

"i'm happy to smoke crack while the dealer is paying for it"