1 hour ago · 14 min read2726 words · Tech · 0 comments

As I have discussed in previous posts, “AIs” can make mistakes. In fact, they do make mistakes, and their mistake-making patterns are such that where and how they will make mistakes is both uncertain and constantly changing. Thus, in any scenario where you want to attempt to make “productive” use of “AI”, you must have a system in place for checking every result. Not checking some results; checking every result. If each result might have a consequence for you (and if it didn’t have a consequence, why bother automating it?) and you cannot predict in advance which kinds of results will need verification, then verification is always required. The verification often ends up being just as expensive as doing the work in the first place, which means that if you want your usage of “AI” to be personally profitable, you have to find someone else to externalize the cost of verification onto. This person becomes your adversary, and, if you are successful, your “AI’s” victim. The Ladder-Climber…

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