Indistinguishable from goalpost moving like you said, but also no true Scotsman.
I'm curious what would happen in your eyes if we misattributed general intelligence to an AI model? What are the consequences of a false positive and how would they affect your life?
It's really clear to me how intelligence fits into our reality as part of our social ontology. The attributes and their expression that each of us uses to ground our concept of the intelligent predicate differs wildly.
My personal theory is that we tend to have an exemplar-based dataset of intelligence, and each of us attempts to construct a parsimonious model of intelligence, but like all (mental) models, they can be useful but wrong. These models operate in a space where the trade off is completeness or consistency, and most folks, uncomfortable saying "I don't know" lean toward being complete in their specification rather than consistent. The unfortunate side-effect is that we're able to easily generate test data that highlights our model inconsistency - AI being a case in point.
> I'm curious what would happen in your eyes if we misattributed general intelligence to an AI model? What are the consequences of a false positive and how would they affect your life?
Rich people will think they can use the AI model instead of paying other people to do certain tasks.
The consequences could range from brilliant to utterly catastrophic, depending on the context and precise way in which this is done. But I'd lean toward the catastrophic.
Indistinguishable from goalpost moving like you said, but also no true Scotsman.
I'm curious what would happen in your eyes if we misattributed general intelligence to an AI model? What are the consequences of a false positive and how would they affect your life?
It's really clear to me how intelligence fits into our reality as part of our social ontology. The attributes and their expression that each of us uses to ground our concept of the intelligent predicate differs wildly.
My personal theory is that we tend to have an exemplar-based dataset of intelligence, and each of us attempts to construct a parsimonious model of intelligence, but like all (mental) models, they can be useful but wrong. These models operate in a space where the trade off is completeness or consistency, and most folks, uncomfortable saying "I don't know" lean toward being complete in their specification rather than consistent. The unfortunate side-effect is that we're able to easily generate test data that highlights our model inconsistency - AI being a case in point.