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by amirhirsch1 days ago |
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upvoteby majewsky1 days ago|
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Wasn't most of that caused by that one change in 2022 to how R&D expenses are depreciated, thus making R&D expenses (like retaining dev staff) less financially attractive?

Context: This news story https://news.ycombinator.com/item?id=44180533

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upvoteby Bombthecat21 hours ago|
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Yes! Even though it's only a tax rule for USA, it somehow applied for the whole world! Thats how mighty the US is!

Or could it be, after the growth and build, we are in maintenance mode and we need less people?

Just food for thought

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upvoteby amirhirsch1 days ago|
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Probably also end of ZIRP and some “AI washing” to give the illusion of progress
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upvoteby KetoManx641 days ago|
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Same thing happened to farmers during the industrial revolution, same thing happened to horse drawn carriage drivers, same thing happened to accountants when Excel came along, mathmaticins, and on and on the list goes. Just part of human peogress.
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upvoteby agumonkey1 days ago|
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I keep asking chatgpt when will LLM reach 95% software creation automation, answer is ten years.
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upvoteby Bombthecat21 hours ago|
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I don't think that long, but yeah, I give it five years.

Two years and 3/4 will be not needed anymore

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upvoteby agumonkey20 hours ago|
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I don't have all the variables in (financials of openai debt etc) but a few articles mention that they leverage part of their work to {claude,gemini,chatgpt} code agents internally with good results. it's a first step in a singularity like ramp up.

People think they'll have jobs maintaining AI output but i don't see how maintaining is that harder than creating for a llm able to digest requirements and codebase and iterate until a working source runs.

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upvoteby Bombthecat8 hours ago|
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I don't think either, people forget that agents are also developing.

Back then, we put all the source code into AI to create things, then we manually put files into context, now it looks for needed files on their own. I think we can do even better by letting AI create a file and API documentation and only read the file when really needed. And select the API and documentation it needs and I bet there is more possible, including skills and MCP on top.

So, not only LLMs are getting better, but also the software using it.

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