Comment This is what stochastic parrots do (Score 2) 65
(Reference: On the Dangers of Stochastic Parrots | Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency)
The people/companies behind these models will keep trying to "fix" them by throwing ever-increasing amounts of computing power at them (with all the lovely real-world effects on everyone and everything) and by using ever-more-complex models. And yes, they'll perform better. But they're still just large exercises in statistics and linear algebra, they're still just stochastic parrots, and thus there's an upper bound that they may approach asymptotically -- but can't surpass.
That's not because they're broken -- which is why I put "fix" in quotes in the previous paragraph. It's because that's how they work: it's an intrinsic property of all such models and no amount of computing power and/or model tweaking can change that: all it can do is obfuscate it. And obfuscated problems are far worse than obvious problems.
The people/companies behind these models will keep trying to "fix" them by throwing ever-increasing amounts of computing power at them (with all the lovely real-world effects on everyone and everything) and by using ever-more-complex models. And yes, they'll perform better. But they're still just large exercises in statistics and linear algebra, they're still just stochastic parrots, and thus there's an upper bound that they may approach asymptotically -- but can't surpass.
That's not because they're broken -- which is why I put "fix" in quotes in the previous paragraph. It's because that's how they work: it's an intrinsic property of all such models and no amount of computing power and/or model tweaking can change that: all it can do is obfuscate it. And obfuscated problems are far worse than obvious problems.