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seventhtiger 9 days ago

When you criticize AI, always remember that the alternative is the average employee. Today's models are pretty good.

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devin 9 days ago | parent | next [-]

A lot of people think they're above average. A lot of them are wrong.

A lot of average people are producing gigantic messes. At least previous to this they were gated by their mediocrity.

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Frieren 9 days ago | parent | prev | next [-]

> the alternative is the average employee. Today's models are pretty good.

I have never seen anywhere in the world people that hates so much the working class as people do in the USA.

In my country the average employee is competent, they do their work and create wealth for the nation.

Again, only in the USA people think that billionaires are the ones creating value. Total non-sense indoctrination.

	▲	seventhtiger 9 days ago \| parent [-]
		I'm not American or ever worked in the USA. It's not a judgement of human value. It's a judgement of work output.

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gamerslexus 9 days ago | parent | prev | next [-]

To adequately validate work you must be at least at the same level, so if you were right (which dunning-kruger suggests unlikely) that would mean your "terrible" average employee is given a tool that will 10x their output which they cannot even check for correctness. And correctness will be low if the average employee is bad like you say, because it means they will give badly specified tasks and even with the best of us it's garbage in, garbage out. I am sure there is no way this can backfire.

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seventhtiger 9 days ago | parent [-]

All enablers also enable mediocrity. That's not new. At least when the non-mediocre engineer has to work with someone, they can have a tireless responsive partner.

I find this varies by individual, but the AI taking care of so much boilerplate and rote work of coding, and taking the role of architect, test designer, and reviewer is a lot more productive for me. Check the code may take the same skill, but it's an order of magnitude less work.

	▲	gamerslexus 9 days ago \| parent [-]
		Perhaps if you need that much boilerplate it's not going to be a well-architected codebase in the first place. Abstract it out, make a lib out of it. Easier to review & test in separation. Loose coupling, high cohesion.

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cyh555 9 days ago | parent | prev | next [-]

and have they totally got rid of the average employees? They can blame the models for the production outages already?

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partyficial 9 days ago | parent | prev [-]

when you criticize the average employee, always remember that the alternative is the average employee with AI.