Some stuff was already crap and AI just smears it in lipstick.
The silly thing is that the rule that’s always been the rule in data processing hasn’t changed: GIGO, or garbage in, garbage out. AI tempts people who would otherwise provide quality work to skip the quality part for the sake of speed.
Proper use of AI doesn’t really speed anything up; it just changes the scale of how you can leverage the results. And people, being lazy, settle for “good enough” output slop generated from “good enough” inputs.
So in reality, AI throws a spotlight on how crappy many people’s work is.
Come on, you have to admit that “proper use” is doing a lot of heavy lifting here. The GIGO problem is not just a result of "mis"use, but a pervasive and steadily worsening problem.
That was the point; AI encourages slop. It’s still people who are making the choice to leverage it that way. And we’ve seen that it’s virtually irresistible.
Not true.
Some stuff was already crap and AI just smears it in lipstick.
The silly thing is that the rule that’s always been the rule in data processing hasn’t changed: GIGO, or garbage in, garbage out. AI tempts people who would otherwise provide quality work to skip the quality part for the sake of speed.
Proper use of AI doesn’t really speed anything up; it just changes the scale of how you can leverage the results. And people, being lazy, settle for “good enough” output slop generated from “good enough” inputs.
So in reality, AI throws a spotlight on how crappy many people’s work is.
Come on, you have to admit that “proper use” is doing a lot of heavy lifting here. The GIGO problem is not just a result of "mis"use, but a pervasive and steadily worsening problem.
That was the point; AI encourages slop. It’s still people who are making the choice to leverage it that way. And we’ve seen that it’s virtually irresistible.