4 ms·
People are also quick to aggrandize or anthropomorphize these systems as well because they lack a fundamental understanding of the underlying mathematics or mec
by HybridCurve 4y ago
People are also quick to aggrandize or anthropomorphize these systems as well because they lack a fundamental understanding of the underlying mathematics or mechanisms which allow these models to function as well as they do. There is an inherent danger in how much trust people are willing to grant to something like a language(or image) model simply because it is so adept at synthesis.
This is a great cause of concern to me, especially when it is not particularly difficult to invalidate general credibility of these models. In the near future, it will not be as easy and I anticipate many(even the well educated) will surrender their rationale to these systems easily with little to no scrutiny.
The hype from these companies is contributing to this problem and I consider it to be highly unethical.