That’s why I said it’s more expensive, but large companies can make it up in volume. The extra expense only makes sense if you can take advantage of the E.G. increased transport capacity provided.
Isn’t this functionally the same thing? What happens to smaller companies in this hypothetical? Are you not assuming that they get pushed out of the market shortly thereafter?
You’re assuming that LLMs can ever be made accurate. I think you might be able to make them somewhat more accurate, but you’ll never be able to trust their output implicitly.
I am assuming this. I am assuming that we’re at the bottom of this technology’s sigmoid curve, there is going to be a ton of growth in a relatively short amount of time. I guess we’ll have to wait to see which one of us has a better prediction.
As a programmer I am absolutely not worried in the slightest that LLMs are coming for my job. I’ve seen LLM produced programs, they’re an absolute trash fire, most of them won’t even compile let alone produce correct output. LLMs might be coming for really really bad programmers jobs, but anyone with even a shred of talent has nothing to worry about.
You have described the state of LLMs right now. Programming languages seem like a perfect fit for a LLM; they’re extremely structured and meticulously (well, mostly) defined. The concepts and algorithms used not overly complex for a LLM. There doesn’t need to be much in the way of novel creativity create solutions for standard use cases. The biggest difficulty I’ve seen is just getting the prompting clear enough. I think a majority of the software engineering field is on the chopping block, just like the “art for hire” crowd. People pushing the limits of the fields will be safe but that’s a catch 22, isn’t it? If low-level entry is impossible, how does one get to be a high-level professional?
And even if we take your [implied] stance that this is the top of the S-curve and LLMs aren’t going to get much better-- it will still be a useful tool for human programmers to increase productivity and reduce available jobs.
Isn’t this functionally the same thing? What happens to smaller companies in this hypothetical? Are you not assuming that they get pushed out of the market shortly thereafter?
I am assuming this. I am assuming that we’re at the bottom of this technology’s sigmoid curve, there is going to be a ton of growth in a relatively short amount of time. I guess we’ll have to wait to see which one of us has a better prediction.
You have described the state of LLMs right now. Programming languages seem like a perfect fit for a LLM; they’re extremely structured and meticulously (well, mostly) defined. The concepts and algorithms used not overly complex for a LLM. There doesn’t need to be much in the way of novel creativity create solutions for standard use cases. The biggest difficulty I’ve seen is just getting the prompting clear enough. I think a majority of the software engineering field is on the chopping block, just like the “art for hire” crowd. People pushing the limits of the fields will be safe but that’s a catch 22, isn’t it? If low-level entry is impossible, how does one get to be a high-level professional?
And even if we take your [implied] stance that this is the top of the S-curve and LLMs aren’t going to get much better-- it will still be a useful tool for human programmers to increase productivity and reduce available jobs.