Yes, and I think some people forget that the whole point of an application is to make that semiotic infrastructure into a coherent system.
LLMs are a great tool, but their misuse is delusional. We need to make a lot of tiny decisions that cannot be delegated away so easily and carelessly for those applications to work properly.
The push for AI just puts a spotlight on this decades-long power struggle to prioritize which decisions are more important. This isn't a new thing at all. I really wish people would get their heads out of the sand and open their eyes to the crumbling of the institutions they should be defending with a clearer mind. This isn't about human vs machine. This is about quality of results.
In a sense they do care. Anthropic / OpenAI care that your projects are successful because that means more revenue for themselves. Therefore, their models are designed to care that your products work.
It seems to me the incentive, if anything, is to make the codebase so complex and “write-only” that developers become entirely dependent on LLMs to make any change whatever. They care that you keep burning tokens, not that those tokens accomplish anything for you.
Correct. LLMs are technically semiotic infrastructure. Empirically proven with computational semiotics.
You keep commenting this everywhere. Does it mean anything or did a long LLM session tell you that?
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Yes, and I think some people forget that the whole point of an application is to make that semiotic infrastructure into a coherent system.
LLMs are a great tool, but their misuse is delusional. We need to make a lot of tiny decisions that cannot be delegated away so easily and carelessly for those applications to work properly.
The push for AI just puts a spotlight on this decades-long power struggle to prioritize which decisions are more important. This isn't a new thing at all. I really wish people would get their heads out of the sand and open their eyes to the crumbling of the institutions they should be defending with a clearer mind. This isn't about human vs machine. This is about quality of results.
A sight for sore eyes. I could use your help.
https://github.com/space-bacon/SRT
In a sense they do care. Anthropic / OpenAI care that your projects are successful because that means more revenue for themselves. Therefore, their models are designed to care that your products work.
That's fair. The companies do care about building a sustainable business. But so do the companies that sell lawnmowers.
I'm not sure that make either thing being sold (LLMs or machines to cut grass) able to care.
Not yet. Wait ‘til lawnmowers have LLMs installed.
It seems to me the incentive, if anything, is to make the codebase so complex and “write-only” that developers become entirely dependent on LLMs to make any change whatever. They care that you keep burning tokens, not that those tokens accomplish anything for you.