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Comment by arthurcolle | Hacker News Reader

If you are getting deskilled using LLMs, it's your usage pattern that's to blame

That’s what they say about communism and anarchism and many other isms: if it’s not working, you aren’t doing it right. Every failed implementation gets the No True Scotsman argument.

What are you trying to say here? That no-one can ever be accountable for using tools wrong? Always blame the tool, or it's "no true scotsman"?

I'm not sure you've quite thought this through. "Holding it wrong" is very, very often the case, especially with technology.

Youre holding it wrong bro, as they say.

I'm not speaking of myself, here...

Some companies are releasing code that nobody on the owning team has ever read or reviewed, or has any inkling exists.

That sounds pretty irresponsible, I can't imagine serious orgs doing that without custom governance / approval software in place

I work for big tech. We don’t have human in the loop anymore. Ai tools handle 99%. It’s not irresponsible if done right. And the next billionaire will show that ai can be tamed, managed, and humans are the problem.

It’s irresponsible.

By what measure?

For one, your company ought to publish its Scope 1, Scope 2, and Scope 3 carbon emissions for all to see. If you understand how the electricity is produced for the AI data centers your company uses, you’ll see that replacing the humans with natural gas guzzling AI workflows is a dramatic rape on the environment and health of species/ecosystems. But what I say doesn’t matter because all tech is in on AI and it’s a race to the bottom for the almighty dollar.

Depends on which data centers. They aren’t all equal. Some use less water and less energy than others. The data centers being more efficient isn’t the company using the service problem.

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