What I found insightful about this article was the framing of another article cited.
> " This pretty negative post topping Hacker News last month sparked these questions, and I decided to find some answers, of course, using AI"
The pretty negative post cited is https://tomrenner.com/posts/llm-inevitabilism/. I went ahead to read it, and found it, imo, fair. It's not making any direct pretty negative claims about AI, although it's clear the author has concerns. But the thrust is inviting the reader to not fall into the trap of the current framing by proponents of AI, rather questioning first if the future being peddled is actually what we want. Seems a fair question to ask if you're unsure?
I got concerned that this is framed as "pretty negative post", and it impacted my read of the rest of this author's article
Weird what counts as "negative" on HN. Question something politely? You're being negative. Criticize something? Negative. Describe it in a way someone might interpret badly? Negative. Sometimes it seems like anything that's not breathless, unconditional praise is considered being negative and curmudgeonly. It's turning into a "positive thoughts only" zone.
> rather questioning first if the future being peddled is actually what we want
The author (tom) tricked you. His article is flame bait. AI is a tool that we can use and discuss about. It's not just a "future being peddled." The article manages to say nothing about AI, casts generic doubt on AI as a whole, and pits people against each other. It's a giant turd for any discussion about AI, a sure-fire curiosity destruction tool.
Maybe negative isn’t exactly the right word here. But I also didn’t enjoy the cited post. One reason is that the article really says nothing at all. You could take the article and replace “LLMs”, mad-lib style, with almost any other hyped piece of technology, and the article would still read cohesively. Bitcoin. Rust. Docker. Whatever. That this particular formulation managed to skyrocket to the top of HN says, in my opinion, that people were substituting in their own assumptions into an article which itself makes no hard claims. That this post was somewhat more of a rorsarch test for the zeitgeist.
It’s certainly not the worst article I’ve read here. But that’s why I didn’t really like it.
Honestly, I read this a just a case of somewhat sloppy terminology choice:
- Positive → AI Boomerist
- Negative → AI Doomerist
Still not great, IMHO, but at the very least the referenced article is certainly not AI Boomerist, so by process of elimination... probably more ambivalent? How does one quickly characterize "not boomerist and not really doomerist either, but somewhat ambivalent on that axis but definitely pushing against boomerism" without belaboring the point? Seems reasonable read that as some degree of negative pressure.
I'm more annoyed at the - clearly - AI based comments than the articles themselves. The articles are easy to ignore, the comments are a lot harder. In light of that I'd still love it if HN created an ignore feature, I think the community is large enough now that that makes complete sense. It would certainly improve my HN experience.
A little unrelated but the biggest feature I want for HN is to be able to search specifically threads and comments I've favorited / upvoted. I've liked hundreds if not thousands of articles / comments. If I could narrow down my searches to all that content I would be able to find gems of the web a lot easier.
> In light of that I'd still love it if HN created an ignore feature
This is why I always think the HN reader apps that people make using the API are some of the stupidest things imaginable. They’re always self-described as “beautifully designed” and “clean” but never have any good features.
I would use one and pay for it if it had an ignore feature and the ability to filter out posts and threads based on specific keywords.
I have 0 interest in building one myself as I find the HN site good enough for me.
Would be fun to do similar analysis for HN front page trends that peaked and then declined, like cryptocurrency, NFTs, Web3, and self-driving cars.
And actually it’s funny: self-driving cars and cryptocurrency are continuing to advance dramatically in real life but there are hardly any front page HN stories about them anymore. Shows the power of AI as a topic that crowds out others. And possibly reveals the trendy nature of the HN attention span.
The last time I was looking for a job, I wrote a little scraper that used naive regex to classify "HN Who's Hiring" postings as "AI," "full time," etc.
I was looking for a full time remote or hybrid non-AI job in New York. I'm not against working on AI, but this being a startup forum I felt like listings were dominated by shiny new thing startups, whereas I was looking for a more "boring" job.
Is cryptocurrency advancing dramatically? Maybe this is an illustration of this effect, but I haven't seen any news about any major changes, other than line-go-up stuff.
What's the status on cryptocurrency tech and ecosystem right now actually? I did some work in that area some years back but found all the tooling tobe in an abysmal state that didn't allow for non-finance applications to be anything but toys so I got out and haven't looked back, but I never stopped being bullish on decentralized software.
But that makes sense, technology makes headlines when it's exciting. Crypto I'd disagree there's been advances, it's mostly scams and pyramid schemes and it got boring and predictable in that sense so once the promise and excitement is gone, HN doesn't talk about it anymore. Self driving cars became a slow advance over many years, with people not claiming it was around the corner and about to revolutionize everything.
AI is now a field where the claims are, in essence, that we're going to build God in 2 years. Make the whole planet unemployed. Create a permanent underclass. AI researches are being hired at $100-300m comp. I mean, it's definitely a very exciting topic and polarizes opinion. If things plateau and the claims dissappear and it becomes a more boring grind over diminishing returns and price adjustments I think we'll see the same thing, less comments over it.
This is cool data but I’d love to see how this AI boom compares to the big data AI boom of 2015-2018 or so. There were a lot of places calling themselves AI for no reason. Lots of anxiety that no one but data scientists would have jobs in the future.
It’s hard to tell how total that was compared to today. Of course the amount of money involved is way higher so I’d expect it to not be as large but expanding the data set a bit could be interesting to see if there’s waves of comments or not.
My personal favorite from that time was a website builder called "The Grid" which really overhyped on its promises.
It never had a public product, but people in the private beta mentioned that they did have a product, just that it wasn't particularly good. It took forever to make websites, they were often overly formulaic, the code was terrible, etc etc.
10 years later and some of those complaints still ring true
I noticed at one point a few days ago that all 10 out of the top 10 articles on the front page were about AI or LLMs. Granted, that doesn't happen often, but wow. This craze is just unrelenting.
This is something I do regularly - count how many of the top 10 articles are AI-related. Generally it is 4-6 articles out of the 10 (currently it is 5). The other day it was 9.
Even 4-6 articles out of the top 10 for a single topic, consistently, seems crazy to me.
I have noticed the same and tbh it’s annoying as hell. But also to be honest, never before have humans been so determined to pour so much money, effort and attention into something you need a complicated soul to not interpret as utterly reckless. In a way, the AI thing is as exciting as going to the Coliseum to watch war prisoners gut each other, with the added thrill of knowing the gladiators will come out of the circle any minute to do the thing to the public, and you watch and fret and listen to the guy behind you gush about those big muscles on the gladiators which one day will be so good for building roads. It’s really hard to pass on it.
This site does pitch to developers. Rightly or wrongly the hype or what I think more accurately is the fear cycle is in LLM's/AI w.r.t SWE's. Given loss aversion in most people fear cycles are way more effective than hype ones in attracting long term interest and engagement.
I think many here, if people are being honest with themselves, are wondering what does this mean for their career, their ability to provide/live, and what this means for their future especially if they aren't financially secure yet. For tech workers the risk/fear that they are not secure in long term employment is a lot higher than it was 2 years ago; even if they can't predict how all of this will play out. For founders/VC's/businesses/capital owners/etc conversely the hype is there that they will be able to do what they wanted to do with less costs.
More than crypto, NFT, or whatever other hype cycle is - I would argue LLM's in the long term could be the first technology where the the tech worker demand may decline as a result despite the amount of software growing. The focus on AI labs in coding as their "killer app" does not help probably. While we've had "hype" cycles in tech its rarer to see fear cycles.
Like a deer looking at incoming headlights (i.e. I think AI is more of a fear cycle than hype cycle for many people) people are looking for any information related to the threat, taking away focus from everything else.
TL;DR While people are fearful/excited (depending on who) of the changes coming, and seeing the rate of change remains at current pace, IMO the craze won't stop.
My subjective impression is that it has become even more prominent in the past few months. I suspect the providers are feeling increased pressure to monetize and are boosting their astroturfing and creative marketing efforts accordingly.
After GPT-5 release I realized it's actually winding down quite significantly. I don't really know if it's actually the normal rate or the hype is really declining.
Wow, look at the crowd of NN doubters in the comments there. I see the quality of foresight in the commentariat hasn’t improved given the state of this thread, either.
This is anecdotal, but the article used ChatGPT to score the sentiment. I’ve noticed that ChatGPT tends to “hallucinate” positive sentiment where there is sufficient nuance but a person would interpret it as overall negative[^1]. I however haven’t tested that bias against more brazen statements.
I thought this was going to be an analysis of articles that are clearly AI-generated.
I feel like that’s an increasing ratio of top posts, and they’re usually an instant skip for me. Would be interested in some data to see if that’s true.
I’ve been wondering about this lately since HN seems inundated with AI topics. I’m over it already and actually click “hide” on almost all AI articles when I load the page.
Wait-- are you claiming that AI is a bigger technological change than the development of computing devices and a networking infrastructure for those devices?
and they don't have to revolutionize the world to be revolutionary in our industry. it might be that the use-cases unlocked by this new technology won't move the needle in an industrial revolution sense but it's nonetheless a huge leap for computer science and the kinds of tasks that can be done with software.
i don't understand people who
seem to have strongly motivated reasoning to dismiss the new tech as just a token predictor or stochastic parrot. it's confusing the means with the result, it's like saying Deep Blue is just search, it's not actually
playing chess, it doesn't understand the game—like
that matters to people playing against it.
I'm starting to learn that AI progress is just really hard to talk about.
On the one hand, I completely agree with you. I've even said before, here on Hacker News, that AI is underhyped compared to the real world impact that it will have.
On the other, I run into people in person that seem to think dabbing a little cursor on a project will suddenly turn everyone into 100x engineers. It just doesn't work that way at all, but good luck dealing with the hypemeisters.
I misread this headline initially to suggest HN was just “bots talking to bots” and a few humans under the false illusion they were interacting with people
AI talk on Hacker News surged w/ GPT-4 (dev unlock), not consumer ChatGPT. The sentiment around AI has remained mostly stable since the 2021 Apple NeuralHash backlash.
It's the theme of the year. Building each year. Going back historically when Social media apps were the craze, or mobile apps were HN reflected what VCs typically were looking to invest in.
ETA: I am only partly joking. It's abundantly clear that the VC energy shifted away from crypto as people who were presenting as professional and serious turned out to be narcissists and crooks. Of course the money shifted to the technology that was being deliberately marketed as hope for humanity. A lot of crypto/NFT influencers became AI influencers at that point.
(The timings kind of line up, too. People can like this or not like this, but I think it's a real factor.)
Im guessing it took over around the time it became more convenient, reliable, accurate, pleasant and consistently present than the average human being, but it could have been later.
> To aggregate overall, of the 2816 posts that were classified as AI-related, 52.13% of them had positive sentiment, 31.46% had negative sentiment, and 16.41% had neutral sentiment.
Reconciled with the reading that the sentiment on HN is negative ?
-> TL;DR: Hacker News didn’t buy into AI with ChatGPT or any consumer product, it spiked when GPT-4 was unlocked as a tool for developers..
> So I get the data back from the Batch API and start playing around with it, and the big thing I find, and this will probably come as no surprise to anyone, is that the AI hype train is currently at its highest point on Hacker News since the start of 2019.
@zachperkel while a train is stimulative of impressions of something growing over time, in perspective, such as the "Trump Train", I'm pretty sure you meant trend? As in the statistical meaning of trend, a pattern in data?
AI hype is driven by financial markets as any other financial craze since the Tulip Mania. Is this an opinion, or a historical fact? Gemini at least tells me via Google Search that Charles Mackay's Extraordinary Popular Delusions and the Madness of Crowds is a historical work examining various forms of collective irrationality and mass hysteria throughout history.
You’re right that “trend” is the statistical term, but “hype train” is the idiom people actually use. I always try to write closer to common and simple vernacular when possible.
No, you didn't see anything. I've been writing like that since very long before LLMs did it, mostly because I'm considerably older than that. I'm sure if you go back to 2008, the first year that I participated in HN you'll find plenty of examples.
I guarantee these trends are no different than Google News or any other news aggregator. AI didn't take over HN specifically; at some point HN fell behind the mainstream rather than rushing in front of it. This was due to extremely heavy moderation explicitly and plainly meant to silence the complaints of black people and women in tech (extremely successfully, I might add.) These discussions were given the euphemism "politics" and hand-modded out of existence.
Discussions about the conflicts between political parties and politicians to pass or defeat legislation, and the specific advocacy or defeat of specific legislation; those were not considered political. When I would ask why discussions of politics were not considered political, but black people not getting callbacks from their resumes was, people here literally couldn't understand the question. James Damore wasn't "political" for months somehow; it was only politics from a particular perspective that made HN uncomfortable enough that they had to immediately mod it away.
At that point, the moderation became just sort of arbitrary in a predictable, almost comforting way, and everything started to conform. HN became "VH1": "MTV" without the black people. The top stories on HN are the same as on Google News, minus any pro-Trump stuff, extremely hysterical anti-Trump stuff, or anything about discrimination in or out of tech.
I'm still plowing along out of habit, annoying everybody and getting downvoted into oblivion, but I came here because of the moderation; a different sort of moderation that decided to make every story on the front page about Erlang one day.
What took over this site back then would spread beyond this site: vivid, current arguments about technology and ethics. It makes sense that after a lot of YC companies turned out to be comically unethical and spread misery, rentseeking, and the destruction of workers rights throughout the US and the world, the site would give up on the pretense of being on the leading edge of anything positive. We don't even talk about YC anymore, other than to notice what horrible people and companies are getting a windfall today.
The mods seem like perfectly nice people, but HN isn't even good for finding out about new hacks and vulnerabilities first anymore. It's not ahead of anybody on anything. It's not even accidentally funny; templeos would have had to find somewhere else to hang out.
Maybe this is interesting just because it's harder to get a history of Google News. You'd have to build it yourself.
I see one of your other comments someone says something reasonable about AI you you reply "keep your head on a swivel". It's not in line with HN guidelines really.
>Be kind. Don't be snarky. Converse curiously; don't cross-examine. Edit out swipes. Comments should get more thoughtful and substantive,...
Just to make sure, which part of HN are you looking at? Because at least what I managed to count at this very moment on the front page (page 1), there are 24 non-AI and non-LLM related topics out of 30. Is that rare?
Not my experience. Whenever I voice my view, which is that ChatGPT is way more engaging and accurate than the average specimen of the homo sapiens class (these are a funny, primitive species of carbon-based turing machine evolved in some galaxy somewhere), I get downvoted
Ironic you think that. Usually saying anything positive about AI gets you downvotes, and critics are upvoted. People even post and upvote articles from Gary Marcus and Ed Newton-Rex without a hint of jest.
It's just a fad. It'll die down eventually like everything else does. Don't see much talk about cryptocurrency lately (not that I care to see more, the technology choices are cool though).
Might take a long while for everyone to get on the same page about where these inference engines really work and don't work. People are still testing stuff out, haven't been in the know for long, and some fear the failure of job markets.
The comments on most of the stories are the same old diatribes as well
most of them are fairly useles it feels like the majority of the sites comments are written by PMs at the FANG companies running everything though the flavor of the month llm
rising-sky|6 months ago
> " This pretty negative post topping Hacker News last month sparked these questions, and I decided to find some answers, of course, using AI"
The pretty negative post cited is https://tomrenner.com/posts/llm-inevitabilism/. I went ahead to read it, and found it, imo, fair. It's not making any direct pretty negative claims about AI, although it's clear the author has concerns. But the thrust is inviting the reader to not fall into the trap of the current framing by proponents of AI, rather questioning first if the future being peddled is actually what we want. Seems a fair question to ask if you're unsure?
I got concerned that this is framed as "pretty negative post", and it impacted my read of the rest of this author's article
ryandrake|6 months ago
joshdavham|6 months ago
epolanski|6 months ago
The only subset where HN gets overly negative is coding, way more than they should.
srcreigh|6 months ago
The author (tom) tricked you. His article is flame bait. AI is a tool that we can use and discuss about. It's not just a "future being peddled." The article manages to say nothing about AI, casts generic doubt on AI as a whole, and pits people against each other. It's a giant turd for any discussion about AI, a sure-fire curiosity destruction tool.
redbell|6 months ago
unknown|6 months ago
[deleted]
johnfn|6 months ago
It’s certainly not the worst article I’ve read here. But that’s why I didn’t really like it.
xelxebar|6 months ago
- Positive → AI Boomerist
- Negative → AI Doomerist
Still not great, IMHO, but at the very least the referenced article is certainly not AI Boomerist, so by process of elimination... probably more ambivalent? How does one quickly characterize "not boomerist and not really doomerist either, but somewhat ambivalent on that axis but definitely pushing against boomerism" without belaboring the point? Seems reasonable read that as some degree of negative pressure.
jacquesm|6 months ago
insin|6 months ago
https://soitis.dev/comments-owl-for-hacker-news
giancarlostoro|6 months ago
paulcole|6 months ago
This is why I always think the HN reader apps that people make using the API are some of the stupidest things imaginable. They’re always self-described as “beautifully designed” and “clean” but never have any good features.
I would use one and pay for it if it had an ignore feature and the ability to filter out posts and threads based on specific keywords.
I have 0 interest in building one myself as I find the HN site good enough for me.
arcane23|6 months ago
nutribueno|6 months ago
[deleted]
snowwrestler|6 months ago
And actually it’s funny: self-driving cars and cryptocurrency are continuing to advance dramatically in real life but there are hardly any front page HN stories about them anymore. Shows the power of AI as a topic that crowds out others. And possibly reveals the trendy nature of the HN attention span.
MathMonkeyMan|6 months ago
I was looking for a full time remote or hybrid non-AI job in New York. I'm not against working on AI, but this being a startup forum I felt like listings were dominated by shiny new thing startups, whereas I was looking for a more "boring" job.
Anyway, here's:
- a graph: https://home.davidgoffredo.com/hn-whos-hiring-stats.html
- the filtered listings: https://home.davidgoffredo.com/hn-whos-hiring.html
- the code: https://github.com/dgoffredo/hn-whos-hiring
pavel_lishin|6 months ago
akk0|6 months ago
lz400|6 months ago
AI is now a field where the claims are, in essence, that we're going to build God in 2 years. Make the whole planet unemployed. Create a permanent underclass. AI researches are being hired at $100-300m comp. I mean, it's definitely a very exciting topic and polarizes opinion. If things plateau and the claims dissappear and it becomes a more boring grind over diminishing returns and price adjustments I think we'll see the same thing, less comments over it.
zachperkel|6 months ago
sitkack|6 months ago
roxolotl|6 months ago
It’s hard to tell how total that was compared to today. Of course the amount of money involved is way higher so I’d expect it to not be as large but expanding the data set a bit could be interesting to see if there’s waves of comments or not.
Bjorkbat|6 months ago
It never had a public product, but people in the private beta mentioned that they did have a product, just that it wasn't particularly good. It took forever to make websites, they were often overly formulaic, the code was terrible, etc etc.
10 years later and some of those complaints still ring true
ryandrake|6 months ago
NoboruWataya|6 months ago
Even 4-6 articles out of the top 10 for a single topic, consistently, seems crazy to me.
dsign|6 months ago
throw234234234|6 months ago
I think many here, if people are being honest with themselves, are wondering what does this mean for their career, their ability to provide/live, and what this means for their future especially if they aren't financially secure yet. For tech workers the risk/fear that they are not secure in long term employment is a lot higher than it was 2 years ago; even if they can't predict how all of this will play out. For founders/VC's/businesses/capital owners/etc conversely the hype is there that they will be able to do what they wanted to do with less costs.
More than crypto, NFT, or whatever other hype cycle is - I would argue LLM's in the long term could be the first technology where the the tech worker demand may decline as a result despite the amount of software growing. The focus on AI labs in coding as their "killer app" does not help probably. While we've had "hype" cycles in tech its rarer to see fear cycles.
Like a deer looking at incoming headlights (i.e. I think AI is more of a fear cycle than hype cycle for many people) people are looking for any information related to the threat, taking away focus from everything else.
TL;DR While people are fearful/excited (depending on who) of the changes coming, and seeing the rate of change remains at current pace, IMO the craze won't stop.
tempodox|6 months ago
mcmoor|6 months ago
Ologn|6 months ago
https://news.ycombinator.com/item?id=4611830
aoeusnth1|6 months ago
mbf1|6 months ago
tempodox|6 months ago
zachperkel|6 months ago
dsign|6 months ago
tallytarik|6 months ago
I feel like that’s an increasing ratio of top posts, and they’re usually an instant skip for me. Would be interested in some data to see if that’s true.
blitzar|6 months ago
rubyfan|6 months ago
hapticmonkey|6 months ago
It’s exhausting.
zaphirplane|6 months ago
Eh eh
puppion|6 months ago
this sums up the subject this article is about.
richardw|6 months ago
My intuition is that we moved through the hype cycle far faster than mainstream. When execs were still peaking, we were at disillusionment.
mikert89|6 months ago
whats so confusing about this, thinking machines have been invented
greesil|6 months ago
mylifeandtimes|6 months ago
zikduruqe|6 months ago
Spivak|6 months ago
i don't understand people who seem to have strongly motivated reasoning to dismiss the new tech as just a token predictor or stochastic parrot. it's confusing the means with the result, it's like saying Deep Blue is just search, it's not actually playing chess, it doesn't understand the game—like that matters to people playing against it.
_ea1k|6 months ago
On the one hand, I completely agree with you. I've even said before, here on Hacker News, that AI is underhyped compared to the real world impact that it will have.
On the other, I run into people in person that seem to think dabbing a little cursor on a project will suddenly turn everyone into 100x engineers. It just doesn't work that way at all, but good luck dealing with the hypemeisters.
lm28469|6 months ago
Some people are terminally online and it really shows...
mvdtnz|6 months ago
[deleted]
unknown|6 months ago
[deleted]
AbstractH24|6 months ago
schappim|6 months ago
j45|6 months ago
georgel|6 months ago
rzzzt|6 months ago
ReflectedImage|6 months ago
signatoremo|6 months ago
fuzzfactor|6 months ago
EGreg|6 months ago
When will people realize that Hacker News DISCUSSIONS have been taken over by AI? 2027?
exasperaited|6 months ago
ETA: I am only partly joking. It's abundantly clear that the VC energy shifted away from crypto as people who were presenting as professional and serious turned out to be narcissists and crooks. Of course the money shifted to the technology that was being deliberately marketed as hope for humanity. A lot of crypto/NFT influencers became AI influencers at that point.
(The timings kind of line up, too. People can like this or not like this, but I think it's a real factor.)
daft_pink|6 months ago
alansammarone|6 months ago
intended|6 months ago
> To aggregate overall, of the 2816 posts that were classified as AI-related, 52.13% of them had positive sentiment, 31.46% had negative sentiment, and 16.41% had neutral sentiment.
Reconciled with the reading that the sentiment on HN is negative ?
-> TL;DR: Hacker News didn’t buy into AI with ChatGPT or any consumer product, it spiked when GPT-4 was unlocked as a tool for developers..
geraldog|6 months ago
@zachperkel while a train is stimulative of impressions of something growing over time, in perspective, such as the "Trump Train", I'm pretty sure you meant trend? As in the statistical meaning of trend, a pattern in data?
AI hype is driven by financial markets as any other financial craze since the Tulip Mania. Is this an opinion, or a historical fact? Gemini at least tells me via Google Search that Charles Mackay's Extraordinary Popular Delusions and the Madness of Crowds is a historical work examining various forms of collective irrationality and mass hysteria throughout history.
zachperkel|6 months ago
jshchnz|6 months ago
unknown|6 months ago
[deleted]
123sereusername|6 months ago
[deleted]
aaron695|6 months ago
[deleted]
unknown|6 months ago
[deleted]
schappim|6 months ago
[deleted]
jacquesm|6 months ago
Dylan16807|6 months ago
pessimizer|6 months ago
Discussions about the conflicts between political parties and politicians to pass or defeat legislation, and the specific advocacy or defeat of specific legislation; those were not considered political. When I would ask why discussions of politics were not considered political, but black people not getting callbacks from their resumes was, people here literally couldn't understand the question. James Damore wasn't "political" for months somehow; it was only politics from a particular perspective that made HN uncomfortable enough that they had to immediately mod it away.
At that point, the moderation became just sort of arbitrary in a predictable, almost comforting way, and everything started to conform. HN became "VH1": "MTV" without the black people. The top stories on HN are the same as on Google News, minus any pro-Trump stuff, extremely hysterical anti-Trump stuff, or anything about discrimination in or out of tech.
I'm still plowing along out of habit, annoying everybody and getting downvoted into oblivion, but I came here because of the moderation; a different sort of moderation that decided to make every story on the front page about Erlang one day.
What took over this site back then would spread beyond this site: vivid, current arguments about technology and ethics. It makes sense that after a lot of YC companies turned out to be comically unethical and spread misery, rentseeking, and the destruction of workers rights throughout the US and the world, the site would give up on the pretense of being on the leading edge of anything positive. We don't even talk about YC anymore, other than to notice what horrible people and companies are getting a windfall today.
The mods seem like perfectly nice people, but HN isn't even good for finding out about new hacks and vulnerabilities first anymore. It's not ahead of anybody on anything. It's not even accidentally funny; templeos would have had to find somewhere else to hang out.
Maybe this is interesting just because it's harder to get a history of Google News. You'd have to build it yourself.
midzer|6 months ago
Sad times...
tim333|6 months ago
>Be kind. Don't be snarky. Converse curiously; don't cross-examine. Edit out swipes. Comments should get more thoughtful and substantive,...
debesyla|6 months ago
alansammarone|6 months ago
jraph|6 months ago
ronsor|6 months ago
SamInTheShell|6 months ago
Might take a long while for everyone to get on the same page about where these inference engines really work and don't work. People are still testing stuff out, haven't been in the know for long, and some fear the failure of job markets.
There is a lot of FUD to sift through.
RickJWagner|6 months ago
rvz|6 months ago
iphone_elegance|6 months ago
most of them are fairly useles it feels like the majority of the sites comments are written by PMs at the FANG companies running everything though the flavor of the month llm
tlogan|6 months ago
But let me say something serious. AI is profoundly reshaping software development and startups in ways we haven’t seen in decades:
1) So many well-paying jobs may soon become obsolete.
2) A startup could be easily run with only three people: developer, marketing, and support.