Ask HN: Am I the only one here who can't stand HN's AI obsession?
I can't really explain why, but I find the recent AI developments, articles and news stories totally boring and lame. I can understand why people get excited with generative AI that can transform a text into an image etc, but otherwise the benefits of so called AI are completely lost on me, and all those AI articles on HN are just noise to me.
I don't need you to convince me I'm wrong. I just want to know if there are other people here that feel the same way. Thank you for commenting thoughtfully!
125 comments
[ 2.9 ms ] story [ 188 ms ] threadTo op - yes, feel the same, but what can you do...
- To garner VC money - To drive down wages and make employees more fungible
It doesn’t matter if it’s true or not. As long as enough people believe it, that’ll become the new baseline.
We seem to be stuck in a tarpit of reinventing tactics, but there hasn’t been a major strategic shift for over a decade.
I am part of the problem, posting links to the obsessive recreation (not by me) of old arcade machines.
Also, there are startups that failed because the founders decided to ditch Go, Python, or JavaScript for Rust. Now, they can’t hire people, and no one wants to deal with the mess.
"<a well established C/C++ program, existing for many years> written in ruby" (or whatever the language was that week, so replace that with go, rust, etc.)
Besides the exaggeration of the first sentence, I’m actually deadly serious about the rest.
- For competent power users, tiling window managers are better than desktop metaphor WMs
- Is Java finally dead?
- Is my manager a bitchass for not promoting me to the senior role (SF/GOOG/M/24)
- If you don’t use the trackpoint on your Thinkpad your mom’s a hoe
Good morning to all.
With short term flash in the pan hype cycles like that superconductor one, prediction markets astroturfing also seems involved. Basically the more hype you drum up, the more people you can lure into betting on room temperature superconductors, the more money you stand to win when it turns out to be nothing of the sort.
now you may have ignored it and not lost money like 90% who joined the hype... but now you have a president bound by support of that very money and they already made promises to clear the way even further for those people.
likewise with AI, even if you ignore it, there are proxy wars happeing with little more reason than to showcase the viability of autonomous robots in trench warfare for the next round of arms sales. https://www.youtube.com/watch?v=YrrXNZyoc8k
Just like yc, most things will not work out. Some will. You can read about all of them here. The noise around the thing is one of many signals.
There's always has and always will be a "Vulture Culture" on HN that rubs my FSF sensibilities somewhat the wrong way from time to time, but with this latest AI and crypto bubble it really feels like that shared sense of wonderment is being greatly usurped by the vulture crowd to a toxifying degree.
They don't want to grow money in 10 years. They want to make money now. It really hasn't always been this bad.
The leadership then hyped up Devin or whatever, only to find the whole workplace in chaos after a few months. All this was done to attract VC money, and now they're hiring for the same position again.
But since the target audience was always technical (although gullible) people, the incentive to make it useful beyond coin purchases never manifested.
But moreso: scalability.
The blockchains that are worth anything don’t scale to the level of total worldwide transactions per second.
I’ve heard “But Lightning!” — sure, so before I can send any money, I have to find a fellow to relay my transactions against.
> I know a few small companies that have legitimately let people go without even having a proper replacement.
In terms of collateral damage, blockchain nonsense is probably still winning, at least for now, though its victims were often at least somewhat complicit in their own destruction.
One glaring example of the difference - you're making an analogy by saying that people were saying "get on board web3 or you'll be left behind". I'm not sure I heard people say it quite this way, but even if they did - what was the causal mechanism they claimed would "leave you behind" exactly? Why would the average user care? Not at all clear.
Whereas, correct or not, there's a very obvious reason to think adopting AI is critical - in SE, for example, it promises drastic changes to how people work and increases in productivity - it's pretty clear why not adopting it is a bad idea.
While LLMs are still new, ML itself is by no means a new or unproven technology. Recommendation engines built on ML are, for better or worse, the backbone of the average person's online experience. Fraud and spam detection, built on ML, are baked into most of our digital utilities (email, payments, etc.) How many apps do you use that involve ETA predictions? Because those are all built on ML. Image recognition, speech-to-text, even the camera on most smartphones--it all relies on ML.
Even looking purely at LLMs, they've reached a point of adoption that blockchain never did. ChatGPT alone reports over 200 million users per week. Google search, possibly the most ubiquitous product in the history of the internet, uses LLMs as a standard part of search.
You may have criticisms of the technology, you may think it is overhyped or that companies are making a mistake by leaning into it, but it's difficult to rationally dismiss it as a purely speculative hype bubble when its usage is so widespread.
It was also good to teach that if enough people believe cryptocurrency is a way to invest money, it becomes as legitimate a way to invest money than any other. Also informed me of all the nuances and how naive ideology, even if misplaced and bad at forming the future, and money from illegal activities can become a legitimate investment option and become part of the mainstream where all of its past can be mostly ignored by current cryptocurrency owners. Anyway, right or wrong, that is my current view on it and it was informed by what I chose to read about it on HN.
Even the current flood of AI content I find useful to gradually understand how to use it or not, bring attention around ethical dilemmas, what is the useful for and what is not useful for.
And since I can chose what I read very easily on HN, it doesn’t bother me at all the hype-driven subject of HN submissions.
But I guess it’s just like programming languages: either people rant about them or no one uses them.
Examples change as desired:
~-The Best Sausage ASMR Of 2024
Jokes aside, my best guess is that parent is trying to hide prediction posts like "What will cryptocurrency look like in 2026?" or something.
This rule would avoid these articles, and GP probably sees the few false positives as an acceptable tradeoff.
The spammy articles won't make the HN front page (at least not with the original title), but there will be a lot of false positives from the HN style of tagging older articles with the publication year.
What do you expect? Might as well ask an AI to generate that text, same level of information you'll be getting.
Taking the other side, on one hand I can see "AI that can transform a text into an image etc, but otherwise the benefits of so called AI are completely lost on me" but on the other hand AI overtaking biology is kind of an interesting thing.
And you can of course skip the articles.
I'm a freelancer and all of my clients talk is AI. I think, it's cool tech, but also quite overhyped.
But I get it, AI has become the magic box that the masses of "idea guys" can use to realize "the next big thing". No more meddling with devs or designers.
Whelp, guess we have to wait for the valley of disillusionment.
It’s the new “I have an idea for app, can you build it for me for free?” that clueless friends of friends bust out when they find out you work in “tech”
Well, it's the antidote: "If it's so simple and valuable, build it yourself, ChatGPT et al makes it easier and since it's so simple, you can get to keep all the rewards to yourself :)"
I've got a zealot in my company too. The worst thing is that our customers (healthcare providers) really want to hear this, so it actually helps in marketing, which in turn keeps the hype going.
I will embrace the moment we step into that valley of disillusionment, although I fear the slop will remain.
Instead, it was 99% filled with everyone in my region shilling their ChatGPT wrapper like it was going to change EVERYTHING. There were nearly zero interesting tech or business conversations.
Edit: to more directly address your comment, it's interesting to see which businesses and sectors want to ram through AI with no clear reason and which have no interest in it.
If you would've asked experts 6 months before chatgpt when we'd have the current capabilities they would've said we're at least 10 years away.
Even your sibling comment (that is an example of it) reflects almost properly in the end. There’s just nothing to actually do here wrt AI.
I knew this site was notoriously cynical, but the dismissal of such monumental tech advancements is making me reconsider the time I spend here.
For a whole year prior to ChatGPT, "davinci-instruct-002" was at the level of ChatGPT for most purposes, but applications using OpenAIs models had to be approved, and chat apps were disallowed (as were any completions > 300 tokens).
The competitors of that time (GPT-J, GPT-20b-neo) and early BigScience stuff was behind OpenAI, especially on instruction training. So we didn't see applications until OpenAI changed it's application approval process in November 2022. A good reference for where things were is "Machine Learning Street Talks" 4 hour 2020 GPT-3 video - although it expressed doubt about GPT-3, you can see there through many of the examples that the tech was close to ChatGPT relative to the previous iteration (GPT-2, T5, BERT etc).
However, for experts, it was obvious from about Spring 2021 when GPT-3 started taking off in the research zeitgeist with actual research usage, with loads of tweets and recognition of what it meant for the field (both in terms of impact to grant applications, ongoing projects and the future of language models being decoder only for the reasonable short term).
The real gap in prediction disparity was that most experts, possibly due to a bias towards their funding areas researching BERT etc, totally ignored GPT-2 and assumed encoder architectures or other fields (RNNs etc) were still better paths. Established Researchers* would have predicted GPT-3 was 10 years away in 2018 or 2019 which is funny in hindsight. However, even in 2013 (when I was not a researcher but a student), people in computer vision felt that arbitrary tasks/arbitrary recognition was nigh impossible unless using coding schemes etc (which limited to certain image types anyway)
* And I say this because I was researching in 2019, but I was more optimistic after seeing T5 and GPT-2. The field did not ignore CLIP, but there wasn't much obvious apparent research to be done with CLIP initially. Computer vision was all about semantic segmentation and recognition of disease etc in the 10s.
AI-related content is seasonal. This new LLM trend (which is now shifting towards “agentic AI”) will eventually fade and be replaced by another shiny new term. Basically, there’s a lot of noise, but every now and then, some gems pop up. Finding those articles is the fun part and the reason why I visit HN every day.
But at the same time, I don't think Hacker News is that heavily flooded with AI related posts. In the 30 posts I see on the home page, 3 are AI related, with one being this post complaining about it. The next page of posts has even less, with only 1 or so post about an AI related topic.
With big advances, the current wave of AI is finally promising to turn this dream into reality.
Besides, it's already quite useful even with its current shortcomings.
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² here's a short very incomplete list:
The Matrix, 2001 A Space Odyssey, Blade Runner, The Terminator, Robocop, Her, Ex Machina, Ghost in the Shell (1995, 2004, 2017), Data in Star Trek, Star Wars, ...
They’re all great to get you started on a (re)search path provided you take care to validate the information so easily acquired.
I see people here using those LLMs on their machine etc, I have no idea what they're doing with it or how any of that works.
Or writing prompts all day doesn't seem fun.
The paradox is that I work at a AI startup with a real product, with real clients ;)
So I don't think it's a fad and as a developper you have to stay alert on the effects it has on your profession.
AI is not useless NFTs.
Genetics research, especially for more rare conditions with less traditional research funding, is one application where I can’t help but feel excitement.
AI image & song generation in the style of a popular artist is one application where I only feel sadness.
But I don't find its generative capabilities to be all that impressive. It is generic and uninspired at least in text generation. I feel the same way about most new things that are emerging out of the tech scene since Blockchain. I dont even bother with tech news nowadays.
AIs adoption has been quite fast though. Unlike blockchain that never went mainstream AI has captured the casual user segment. It's being used everywhere from recruiting to emails. In offices and in schools. It's hyped alright but real people are using it.