alt Hacker NewsI usually see the opposite.
Detractors from AI often refuse to learn how to use it or argue that it doesn't do everything perfectly so you shouldn't use it.
Proponents say it's the process and learning that builds depth and you have to learn how to use it well before you can have a sensible opinion about it.
The same disconnect was in place for every major piece of technology, from mechanical weaving, to mechanical computing, to motorized carriages, to synthesized music. You can go back and read the articles written about these technologies and they're nearly identical to what the AI detractors have been saying.
One side always says you're giving away important skills and the new technology produces inferior work. They try to frame it in moral terms. But at heart the objections are about the fear of one's skills becoming economically obsolete.
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> Detractors from AI often refuse to learn how to use it or argue that it doesn't do everything perfectly so you shouldn't use it.
But here is the problem - to effectively learn the tool, you must learn to use. Not learning how to effectively AI and then complaining that the results are bad is building a straw-men and then burning it.
But what I am giving away when using LLM is not skills, it's the ability to learn those skills. Because if the LLM instead of me is solving all easy and intermediate problems I cannot learn how to solve hard problems. The process of digging for an answer through documentation gives me a better understanding of how some technology works.
Those kinds of problems existed before - programming languages robed people of the necessity to learn assembly - high level languages of the necessity to learn low level languages - low code solutions of the necessity to learn how to code. Some of these solutions (like low level and high level programming languages) are robust enough that this trade-off makes sense - some are not (like low code).
I think it's too early to call weather AI agents go one way or the other. Putting eggs in both baskets means learning how to use AI tools and at the same time still maintaining the ability to work without them.
>> Proponents say it's the process and learning that builds depth and you have to learn how to use it well before you can have a sensible opinion about it.
That's like telling a chef they'll improve their cooking skills by adding a can of soup to everything.
> But at heart the objections are about the fear of one's skills becoming economically obsolete.
Unless I can become a millionaire just with those skills, they are in a limbo between economically adequate and economically obsolete.
> But at heart the objections are about the fear of one's skills becoming economically obsolete.
I won't deny that there is some of this in my AI hesitancy
But honestly the bigger barrier for me is that I fear signing my name on subpar work that I would otherwise be embarrassed to claim as my own
If I don't type it into the editor myself, I'm not putting my name on it. It is not my code and I'm not claiming either credit nor responsibility for it