alt Hacker NewsHere's a practical example: I am using AI to help me with my garden. It's been amazing - it helps me identify plants, identify soil issues, what fertilizer to use and what days to apply it, etc.
What exactly did AI take from me? Spending hours of research on Google and Youtube to glean little incomplete bits and pieces? Calling a yard service?
It's also clearly obvious when AI gives bad or incorrect advice - I am still trying different things and watching for the results.
Coding is a outlier example where AI can just do the work semi-competently without anyone checking it. But I think it speaks more to the nature of coding itself - coding is a means to an end and for most people not an actual pursuit in itself.
>What exactly did AI take from me? Spending hours of research on Google and Youtube to glean little incomplete bits and pieces? Calling a yard service?
An opportunity for a deeper understanding of gardening? If you spend hours researching on gardening and come away with an incomplete understanding of what you were attempting to do, I'm not sure that's immediately the fault of the research available. It could be that you just didn't do a good job searching for the necessary information.
In this way, AI can be a boon. It helps figure out what you actually want to know in the moment. But I think it would be a step to far to say that a smattering of specific questions can replace the sturdy foundation povided by a typical education--e.g. through apprenticeship, books, etc.
>It's also clearly obvious when AI gives bad or incorrect advice
Is it? Isn't this a __core__ problem that researchers around the world are trying to solve? Also, __how__ could you make such a statement unless you already possessed the knowledge ahead of time to make such a judgment? I think it's hard to know if something is bad advice by looking at just cause and effect. It could be that you just lack the understanding to put the advice into practice.