511–520 of 581 posts
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It seems you're questioning my preference, but I'm simply pointing out that I find the tone and emphasis in the TH article clearer, even though it's less detailed. I'm free to prefer the presentation of one article over another, regardless of complexity.
The personal preference is fine, just trying to make sure I understood correctly the discussion between you and the root poster. As a reader, it was a bit confusing to read something that starts with “Sorry, but I think the original article is more insightful…” and have it turn out that this (being more insightful) was intended as a problem. Both of the first two comments you posted seemed to be positive about the NY…
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I would pay hundreds of dollars per month for the combination of cursor and claude - I could not get my head around it when my beginner lever colleague said "I just coded this whole thing using cursor". It was an entire web app, with search filters, tree based drag and drop GUIs, the backend api server, database migrations, auth and everything else. Not once did he need to ask me a question. When I asked him "how lon…
Current LLMs fail if what you're coding is not the most common of tasks. And a simple web app is about as basic as it gets. I've tried using LLMs for some libraries I'm working on, and they failed miserably. Trying to make an LLM implement a trait with a generic type in Rust is a game of luck with very poor chances. I'm sure LLMs can massively speed up tasks like front-end JavaScript development, simple Python script…
I've used LLMs to generate quite a lot of Rust code. It can definitely run into issues sometimes. But it's not really about complexity determining whether it will succeed or not. It's the stability of features or lack thereof and the number of examples in the training dataset.
It is clear to me that Sam has never set foot inside of a semiconductor manufacturing facility. Or, if he did he definitely wasn't paying attention to what was going on around him. I don't know how you could witness these things and then make glib statements about building 36 of them. It will likely take well over a decade to recoup investment on any new chip fab at this point. Chasing ~4 customers on one narrow use…
It is reasonable from his point of view - you guys sink the capital, I will have more compute. And if it doesn't work out and orders stop coming in then well that's not my problem, is it?
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Again: I’m only made redundant if there is no more work that my employer needs me to do. Why should I be scared of technology that makes me more productive?
This assumes that the bottleneck to profitability is the limit of software engineers they can afford to hire. If they’re happy with current rate of progress (and in many companies that is the case), then a productivity increase of 100% means they need half the current number of engineers.
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Indeed; but laughing at the scale of someone’s ambition (or vision?) might just mean that one’s own is too narrow or limited. After all, there are lots of narrow-minded, un-visionary folks out there. Just because there’s an anti-Altman/-OpenAI sentiment on HN at the moment, it doesn’t mean that he’s wrong about everything, nor the people at TSMC are necessarily right.
SpaceX needed NASA money. Where does Altmann get $7 trillion dollars
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It’s certainly been my experience with the technology.
But if nearly everyone else is saying this has real value to them and it's produced meaningful code way beyond what's in SO, then doesn't that just mean your experience isn't representative of the overall value of LLMs?
The current AI hype wave has really hit a nerd soft spot - that we're steps away from AGI. Surely if a computer can make plausible-looking but incorrect sentences we're days away from those sentences being factually accurate! The winter after this is gonna be harsh.
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I swear I read this exact same thread in nearly every post about OpenAI on HN. It's getting to a point where it almost feels like it's all generated by LLMs
You mean the standard refrain of "we too are stochastic parrots"? Yes, that argument gets trotted out over and over. LLM proponents seem unwilling to accept that we comprehend the words we speak/write in a way that LLMs are not capable of doing.
Maybe their salary depends on them not understanding it.
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Maybe I am, but I'm getting pretty rich doing it, so there is that. :)
The fact that you make money using AI, has nothing to do with its usefulness for society/humanity. There are people who are getting “pretty rich” by trafficking humans, or selling drugs. Would you want to live in a society where such activities are encouraged? In the end, we need to look at technological progress (or any progress for that matter) as where it will bring us to in the future, rather than what it allows…