141–150 of 498 posts
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So he's being paid and is sitting there letting an AI tool do his work for him? Insanity.
We didn’t mind when typesetting was automated. Or when compilers were invented. Why is this different?
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I'm currently in repos where the context window required is so large that the output is almost always "wrong" for the problem at hand. Quite a few people at my company burn through tokens this way, and it certainly isn't providing value to the company.
As always, improving accessibility for humans makes automation more effective. If the humans need to remember a PhD's worth of source code/documentation to contribute effectively, your codebase stinks.
The LLM hype train has me reflecting on what a spoiled existence working in a ‘proper’ language provides though…
React devs, JS devs, front-end devs working on large sites and frameworks might be triggering tens of files to be brought into context. What an OCaml dev can bring in through a 5 line union type can look very different in less token-efficient and terse languages.
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“I’m the prompter.”
I take the prompts to the AI so the manager doesn't have to! I have prompting skills!! I just can't make the joke work. There really are people that think they can get paid to press the agent's on button. How long before their checks stop clearing and it "just works itself out naturally"?
I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…
I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…
I dont know about $10,000, but i can see hitting $1,000 pretty easily if you aren't looking at the costs.
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Begs the question if we should move on to minimal microservices so that whole project lives in context of llm. I hardly have to do anything when I'm working with small project with llm.
In my experience, the result is just more crawling across the separate microservices and additional reasoning to confirm how it all fits together. The monolithic codebases are easier to crawl for any problem that can't be conveniently isolated to a single microservice.
I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…
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> Are they just copy/pasting their entire ticket description into Claude Code and having it iterate until they land on something that works? That is exactly what they are doing, yes
And why wouldn't they? Companies are quite literally instructing them to do so. I work at such a company and have heard similar anecdotes from colleagues that work at other companies.
I can do so much more with my spare time now. I throw agents at problems and get way more done.
$1k in tokens every day is easy to hit.
I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…
My current job basically involves trying to improve processes that themselves make heavy use of LLMs. Once you have multiple agents in parallel running multiple experiments on improving the performance of primarily LLM driven tools it's not that hard to get your token usage pretty high.
I take a peak every month or so at spend for my company and notice more and more are consumed $1k in tokens a month and it is bewildering to me how. I use llms daily, and see anywhere from $200-$400 tops. This is using the most expensive models, in deep thinking mode. So I'm not a Luddite against the usage of them. I just can't figure how _how_ to burn that much money a month responsibly. I genuinely challenge someon…