Live data from Hacker News

AI is slowing down

wheresyoured.at

151–160 of 820 posts

Re: AI is slowing down

#151
post #76
post #70

Earlier quoted context omitted.

I've posted numbers that indicate that productivity is becoming decoupled from value delivery. If you follow the link in my comment it reviews a pretty robust study of 4000 teams over 2 years. There is no product throughput increase.

Yep. Code acceleration is great, but.... something precedes that. Vision and strategy re. expansion of offerings and businesses. Once a firm reaches maturity in what it offers and is only touching the edges - this code acceleration is literally useless when you factor in all of the trade-offs. This is a good thing - it means fat and slow incumbents are sitting ducks to be out-witted by creative and imaginative founde…

I think its worse than that.

I admit that if a small team or an individual uses an LLM, it's likely they can create value faster.

I think as soon as you don't own the responsibility for the defects you generate with an LLM, their use starts to destroy value. Regardless of product maturity.

This is what I think the data says.

https://unessays.substack.com/p/talk-is-cheap

Re: AI is slowing down

#152
post #9

Zitron is begging for a collapse at this point. Yes, his macro analysis correctly identifies a massive financial risk but his incessant pessimism completely misses the incredible ground-level utility that many of us on HN celebrate every day through undeniable, massive productivity gains. At this point I'm trying to believe there's a middle ground where the level of individual capability this unlocks, leads to major…

> undeniable, massive productivity gains. The jury is still out on that.

Yeah they're very much deniable. Raw LOC/hr is much higher, and putting together a MVP, but I've yet to see any evidence that an LLM is capable of doing anything unsupervised, and if you need a human supervising everything it does... why bother having an LLM in the first place?

Re: AI is slowing down

#154
The way I see it, AI is going to change the world radically. It could be for the worse, the better, or a mix of both, but in my mind there's no doubt.

We are only five or six years into the leap LLMs represent. For reference, radio waves were discovered in 1886, Marconi used them for communications in 1895, and while telephone and radio coexisted for many decades, it wasn't until the 1995 that mobile phones and wireless technologies started picking up. It took so long not because of the physics of radio waves required time to mature and improve, but because everything else needed to profit from it did require time.

To me, LLMs are not so much AI as it is a building block. Radiowaves maybe, or the equivalent of transistors. We are already seeing that it's possible to chain LLMs into agents. Currently, price is a strict limiting factor for coding and agents.It's probably fine-ish if all you want is Claude Code or Codex, but there are many other possible compositions of LLMs that most people don't dare to experiment with. For example, LLMs to drive NPC dialog and world mechanics in games is not a thing due to cost. Were prices of inference hardware go down and inference algorithms keep improving, I'm convinced (and afraid) we would see things very difficult to imagine today.

Re: AI is slowing down

#155
>have to be roughly twice the size they are today, and then double again basically every year until 2029 or 2030.

Anthropic is growing way faster than doubling yearly so don't think this is entirely implausible

Re: AI is slowing down

#156
post #146

Earlier quoted context omitted.

Writing about AI, destroying the planet for data centers, there's a lot of money to be made. That being said, AI seems kind of miraculous sometimes. Similar to cars. So enticing that we make everything else in the world worse in order to maximize the profit, make it indispensable, subsidize it, and make the dependency on it irreversible. And it's not even something to blame individual people for. Driving away from al…

The environmental impact of answering a question on an obscure topic with ai model is less than an the impact of answering the question with an hour-long google search hunting for references or a drive to the public library.

That's true, and I am not anti-AI. I was not only thinking about the environmental effects of some single prompt or a certain amount of tokens.

Neither did I want to say that a car is always more wasteful than some alternative.

But defaulting to the behemoth is inefficient, unless everyone is driven to do it: then it's in some way reasonable.

By adding "corrupt" and "dependent", as well as the economic terms, I wanted to offer a broader critique and create an analogy, not just talk about energy usage on its own.

What I had in mind was: it's easier to go many places that are a mile or less from me, by car. Because everything is obstructed by cars. And I'm atrophied by lack of movement. Best would be to drive somewhere to move/walk.

People already do that in masses.

And doing shopping by car, because everything else seems unbearable, also takes away your time, apart from wasting energy compared to more, smaller shops that would be reachable by foot, bycicle etc.

I guess you know the argument.

Today, people's thinking atrophies because their LLM is probably right in their summarization of some Wikipedia article, plus 2-3 other random sources.

Or so.

Using the Wikipedia search function is not expensive.

But, I mostly had a bigger picture in mind than what is the cost of inference.

Re: AI is slowing down

#158
post #9

Zitron is begging for a collapse at this point. Yes, his macro analysis correctly identifies a massive financial risk but his incessant pessimism completely misses the incredible ground-level utility that many of us on HN celebrate every day through undeniable, massive productivity gains. At this point I'm trying to believe there's a middle ground where the level of individual capability this unlocks, leads to major…

[dead]
Post reply on HN