A lot of the hype is very short-term and unrealistic, such as AGI. On the other hand it's easy to underestimate the impact in a million mundane things.

People are scared of the unknown. They are scared that their livelyhoods might be impacted.

My autism flavour, I have a weakness in communication, and AI spits out better writing than I do. Personally I love that it helps me. Autism is a disability and AI helps me through it.

Imagine however if you're an expert in communication; then this is a new competitor that's undefeatable.

With AI humans aim to automate some forms of intelligent work. People that do this kind of work don't necessarily like that, for obvious reasons, and many HN participants are part of that cohort.

I think the hype is the reason. The performance of the tools is nowhere near the level implied by the hype.

Also, HN loves to hate things, remember the welcome dropbox got in 2007?

https://news.ycombinator.com/item?id=8863

Disgust at all the hype. Worry over being made obsolete. Lazy negativity ("merely token predictors") in an attempt to sound knowledgeable. Worry over not understanding the tech. Distress over dehumanising AI use in hiring etc. Herd psychology.

Any result produced by current AI is suspect until proven otherwise.

Any result comes at very high relative cost in terms of computing time and energy consumed.

AI is the polar opposite of traditional logic based computing --- instead of highly accurate and reliable facts at low cost, you get unreliable opinions at high cost.

There are valid uses cases for current AI but it is not a universal replacement for logic based programming that we all know and love --- not even close. Suggesting otherwise smacks of snake oil and hype.

Legal liability for AI pronouncements is another on-going concern that remains to be fully addressed in the courts. One example: An AI chatbot accused a pro basketball player of vandalism due to references found of him "throwing bricks" during play.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4546063

Practical AI vs hype AI is what I see the biggest distinction on.

I haven't seen people negatively comment on simple AI tooling, or cases where AI creates real output.

I do see a lot of hate on hype-trains and, for what it's worth, I wouldn't say it's undeserved. LLMs are currently oversold as this be-all end-all AI, while there's still a lot of "all" to conquer.

Here's why (for me, at least):

https://www.humanetech.com/podcast

The perception that I have of AI is two goals:

1) A keyword to game out investment capital from investors

2) A crutch for developers who should probably the be replaced by AI

I do believe there is some utility and value behind AI, but its still so primitive that its a smarter auto-complete.

AI has (some limited) benefits, and many huge and proven drawbacks (used in the Israel genocide, used to disrupt elections in the US and Europe, used to spy on people)

So yes, there's a healthy criticism of blindly allowing a few multi-billionnaires to own a tech that can rip off the fabric of our societies

Change is uncomfortable and scary, and AI represents a pretty seismic shift. It touches everything from jobs and creativity to ethics and control. There's also fatigue from the hype cycle, especially when some tools overpromise and underdeliver.

> Are people not finding these tools useful, even with the significant investment and hype in the space?

That sounds like there's a flawed assumption buried in there. Hype has very little correlation with usefulness. Investment has perhaps slightly more, but only slightly.

Investment tells you that people invested. Hype tells you that people are trying to sell it. That's all. They tell you nothing about usefulness.

There are a lot of people on HN who will be replaced by AI tools and that's hard to cope with.

Something that I haven't seen in the other comments: whoever controls the AI has a lot of power. Now that people seem to move from Google to LLMs and blindly believe whatever they read, it feels scary to know that those who own the LLMs are often crazy and dangerous billionaires.

just give a go at vibe coding a moderately complex system and you’ll realize that this is only hype, nothing concrete

it’s a shame that this “thing” has now monopolized tech discussions

It's like Ozempic in Hollywood, everyone is using it secretly.

Nobody likes their livelihood becoming a commodity. Especially not one of the most arrogant groups of people on the planet.

I see 2 parts that contribute:

1. Failed expectations - hackers tend to dream big and they felt like we're that close to AGI. Then they faced the reality of a "dumb" (yet very advanced) auto-complete. It's very good, but not as good as they wanted it.

2. Too much posts all over the internet from people who has zero idea about how LLMs work and their actual pros/cons and limitations. Those posts cause natural compensating force.

I don't see a fear of losing job as a serious tendency (only in junior developers and wannabes).

It's the opposite - senior devs secretly waited for something that would off load a big part of the stress and dumb work of their shoulders, but it happened only occasionally and in a limited form (see point 1 above)