throwout4110

I could not disagree more but you are far from alone and I respect a lot of the reasons I’ve gathered why you and others have this belief

Yet people imply that because it doesn’t work in their scenario that it’s not good?

Sure but you’re forgetting that competition exists. If anthropic investors suddenly say “enough” and demand positive cash flow it wouldn’t be that hard, everyone is capturing users for flywheels and capex for model improvements because if they don’t they will be guaranteed to lose.

It’s going to definitely be crappy, remember Google in 2003 with relevant results and no endless SEO , or Amazon reviews being reliable, or Uber being simple and cheap, etc. once growth phase ends monetization begins and experience declines but this is guard railed by the fact that there are many players.

> With AI I can... generate slop. Sometimes that is helpful, but it isn't yet at the point where it's replacing anything for me aside from making google searches take a bit less time on things that I don't need a definitive answer for.

I think this is probably the disconnect, this seems so wildly different from my experience. Not only that, I’ll grant that there are a ton of limitations still but surely you’d concede that there has been an incredible amount of progress in a very short time? Like I can’t imagine someone who sits down with Claude like I do and gets up and says “this is crap and a fad and won’t go anywhere”.

As for generated content, I again agree with you and you’d be surprised to learn that _execs_ agree with you but look at models from 1, 2, 3 years ago and tell me you don’t see a frightening progression of quality. If you want to say “I’ll believe it when I see it” that’s fine but my god just look at the trajectory.

For AI slop text, once again agree, once again I think we all have to figure out how to use it, but it is great for e.g. helping me rewrite a wordy message quickly, making a paper or a doc more readable, combining my notes into something polished, etc, and it’s getting better and better and better.

So I disagree it has made everything worse but I definitely agree that it has made a lot of things worse and we have a lot of Pets.com ideas that are totally not viable today, but the point I think people are maybe missing (?) is that it’s not about where we are it’s about the velocity and the future. You may be terrified and nauseated by $1T in capex on AI infra, fine but what that tells you is the scale is going to grow even further _in addition_ to the methodological / algorithmic improvements to tackle things like continual learning, robustness, higher quality multimodal generation with e.g. true narrative consistency, etc etc etc. in 5 years I don’t think many people will think of “slop” so negatively

What would you imagine a plausible scenario would possibly be that your tools would be taken away or “collapse in functionality”? I would say Claude right now has probably made worse code and wasted time than if I had coded things myself, but it’s because this is like the first few hundred days of this. Open weight models are also worse but they will never go away and improve steadily as well. I am all for people doing whatever works for them I just don’t get the negativity or the skepticism when you look at the progress over what has been almost zero time. It’s crappy now in many respects but it’s like saying “my car is slow” in the one millisecond after I floor the gas pedal

Ok sure the bubble/non-bubble stuff, fine, but in terms of “things I’d like to be a part of” it’s hard to imagine a more transformative technology (not to again turn off the anti-hype crowd). But ok, say it’s 1997, you don’t like the valuations you see. But as a tech person you’re not excited by browsers, the internet, the possibilities? You don’t want to be a part of that even if it means a bubble pops? I also hear a lot of people argue “finances don’t make a lick of sense” but i don’t think things are that cut and dried and I don’t see this as obvious. I don’t think really many people know how things will evolve and what size a market correction or bubble would have.

Right this is what I can’t quite understand. A lot of HN folks appear to have been burned by e.g. horrible corporate or business ideas by non technical people that don’t understand AI, that is completely understandable. What I never understand is the population of coders that don’t see any value in coding agents or are aggressively against them, or people that deride LLMs as failing to be able to do X (or hallucinate etc) and are therefore useless and every thing is AI Slop, without recognizing that what we can do today is almost unrecognizeable from the world of 3 years ago. The progress has moved astoundingly fast and the sheer amount of capital and competition and pressure means the train is not slowing down. Predictions of “2025 is the year of coding agents” from a chorus of otherwise unpalatable CEOs was in fact absolutely true…

Yes ok then I definitely agree

> There's a dichotomy in the software world between real products (which have customers and use cases and make money by giving people things they need) and hype products (which exist to get investors excited, so they'll fork over more money).

AI is not both of these things? There are no real AI products that have real customers and make money by giving people what they need?

> LLMs are a more substantive technology than blockchain ever was, but like blockchain, their potential has been greatly overstated.

What do you view as the potential that’s been stated?

Horrifically terrible data and methodology for even suggesting causal claims. Global Mind Data is literally self report online survey data. You may as well have used political surveys from Fox News and MSNBC

No problem at all, if you have some databases or catalogs I’d be interested in learning more

Right yes I do know :)

Awesome thank you!

Sounds actually perfect. I’ll send you an email. Thank you!

Want to collab on a database and some clustering and analysis? I’m a data scientist at FAIR with an interest in antiquarian docs and books