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erutoday at 12:59 PM4 repliesview on HN

On the scale of a company, augmenting is replacing. If a worker plus AI can do the work of two workers without AI (but cheaper), you go for that; and it doesn't matter how good or bad AI is without the human.


Replies

skinfaxitoday at 1:02 PM

The point is if a worker plus AI can do the work of two workers without AI, then why not keep both workers and have them both use AI to have the equivalent of four non-assisted workers?

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hmmokidktoday at 1:16 PM

I think there are risks:

- AI pricing is variable, probably the cheapest it will ever be right now

- AI produces a lot more shit for humans to review, and you will always need humans. If you don’t focus on keeping things simple you will probably play yourself unless you’re good at separating out blast radiuses.

- I see a lot of super low quality work that doesn’t solve the problem but it’s like look that guy solved the problem in one day! Promote him! Everyone is happy except for the end users who for whatever reason are being totally ignored (whose problem it fails to appropriately solve) and I saw this in accounting software so…hello eventual lawsuits?

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nutjob2today at 1:09 PM

When the AI models hallucinate up a catastrophe, managers will reevaluate that calculus.

Humans are accountable and act accordingly, models are not.

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trimethylpurinetoday at 1:07 PM

That's not always the case. Augmenting certainly can mean that, but it can also mean doing something that people couldn't do before.

For example, looking through meta data in a SQL environment that you didn't know existed to troubleshoot an issue. And a million other things. The odds of any employee not knowing everything are very good, even when humanity as a whole had already discovered that thing.