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Not everyone is using AI for everything

gabrielweinberg.com

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Re: Not everyone is using AI for everything

#4
The numbers given in the article are actually consistent with what is usually meant by “everyone” in such statements. Sure, it’s not literally everyone. But it’s a very significant percentage, especially given how quick the adoption has been.

Re: Not everyone is using AI for everything

#5

I've noticed several companies replacing deterministic systems in their support flows with a LLM version that is slower and worse. Many interfaces simply aren't better with AI added

As a contractor who built a lot of predictive systems and workflows in last three years I can tell you that quite often there is a specific request to put AI into it even when it is not needed and would objectively make the system worse, slower and more expensive.

The AI psychosis is a real thing.

Re: Not everyone is using AI for everything

#8
post #4

The numbers given in the article are actually consistent with what is usually meant by “everyone” in such statements. Sure, it’s not literally everyone. But it’s a very significant percentage, especially given how quick the adoption has been.

Kinda like how quickly cellphones popped up and changed everything.

Re: Not everyone is using AI for everything

#9
Reminds me of this article: https://www.theverge.com/podcast/917029/software-brain-ai-ba...

Software engineers are definitely in a bit of a bubble here. Are we just early adopters who see the value sooner, or does it uniquely benefit software engineering, or do we just like cool automation and we're deluding ourselves that this adds value beyond the cost?

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