I find the constant critique of punchy style a bit tiring. It would be more productive for the grandparent to think about the content and state an opinion.
The link in the article that is right near the words you're talking about links to a wikipedia page that says the book is from 2005. So I conclude it was 2005 or soon after
Forming a human opinion about slop is like asymmetrical warfare. Or maybe a closer analogy is a Gish Gallop. It can be generated with way less effort than it takes to comprehend it, much less form a coherent opinion on it.
It matters whether something is written using an LLM even if we put aside the ethical aspects. Firstly, if your text is deadly boring to read, your point might not get across optimally and one might not just be interesting reading slop. Secondly, you might just been reading the LLM's opinion, and I'm just not interested neither. Thirdly, even if you are just using the LLM as an assistant, we know that your opinion itself may be influenced by the suggestions and since you are still under the impression you are writing yourself (which you are somewhat, not saying), you may internalize the suggestions as your own opinion. There are recent (probably imperfect) studies about this stuff.
I'm fortunate enough not to have been knowingly exposed to LLM generated code of big enough size yet, and haven't run into studies about this (to be fair, I'm not actively looking for them although I'd be quite interested). I imagine the stakes are quite different for code, it's not really opinions. On the topic of boringness I'm afraid I don't have the required experience to know how LLM generated / assisted code feels when reading it.
In particular, I have never had the curiosity of going to one of those vibe coded weekend projects' repository and peek at the code. Now that I think about it, maybe I should! Thanks for making me reflect on this.
I am concerned that one day I'll run into a PR that superficially looks good but that's badly structured in non immediately obvious ways or that has subtle errors due to the author not knowing well what they are doing. And on the longer term, that a code base with too many such contributions ends up being fragile and difficult to work with.
In any case I suppose I'll be looking for places to work where LLMs are not or little tolerated if they keep being a notable thing in the longer term.
So far i really like what it does for the example articles shown. I want to test it on 1 or 2 articles I know well, and if it passes that test it's a product I'd totally pay for.
I generally agree with the broader point you're making, but I also think there's nothing wrong with pointing out how messed up it is that that's the reality of the choice. The whole point of improving society is to eliminate this kind of dilemma
You’re saying there were no forum boards nor comment sections anywhere? And everyone self hosted every single piece of content they wished to send it into the world?
Maybe. Those could be the case. But ignoring all confounding factors, this phenomenon is possible with numerical experiments alone. One of the meanings of "the Law of Small Numbers".
Sure, could be just lucky. But if there are several successful small studies, and several unsuccessful large ones (no idea if this is the case here), we should probably look for a better explanation.
It does not require more explanation: publication bias means null results aren't in the literature; do enough small low quality trials and you'll find a big effect sooner or later.
Then the supposed big effect attracts attention and ultimately properly designed studies which show no effect.
I agree with most everything you said. The problem has always been the short-term job loss, particularly today where society as a whole has resources for safety nets, but hasnt implemented them.
Anger at companies who hold power in multiple places to prevent and worsen this situation for people is valid anger.
> The problem has always been the short-term job loss
Does anyone have any idea of the new jobs that will be created to replace the ones that are being lost? If it's not possible to at least foresee it, then it's not likely to happen. In which case the job loss will be long-term not short-term.
As much as I like the article, I begrudgingly agree with you, which is why I think the author mentions the physical constraints of energy as the future wall that companies will have to deal with.
The question is do we think that will actually happen?
Personally I would love if it did, then this post would have the last laugh (as would I), but I think companies realize this energy problem already. Just search for the headlines of big tech funding or otherwise supporting nuclear reactors, power grid upgrades, etc.
In my experience in neuroscience it even differs widely across programs/universities. Some good professors care about giving good talks, and if you're lucky it becomes contagious in the program. Others think less of you if it's clear, some are too naive to realize obscurity is not a virtue.
I find the constant critique of punchy style a bit tiring. It would be more productive for the grandparent to think about the content and state an opinion.