the entire premise of these systems is to create a passably accurate output by using taught biases to both ascertain the request requirements, as well as create an output by applying those same taught biases in such a way that will fulfill the requirement.
a request to draw a banana will, necessarily , bias the results towards slender yellow fruits.
a lot of the taught biases are hopelessly simple , so problems arise. A lot of the problems being witnessed now seem more like problems that arise from the inexperience in dealing with these systems to me.
personally speaking, witnessing the teething issues of the current day AIs raises the question within myself as to whether or not 'thought without bias' can even exist on anything more than the must superficial levels.
a request to draw a banana will, necessarily , bias the results towards slender yellow fruits.
a lot of the taught biases are hopelessly simple , so problems arise. A lot of the problems being witnessed now seem more like problems that arise from the inexperience in dealing with these systems to me.
personally speaking, witnessing the teething issues of the current day AIs raises the question within myself as to whether or not 'thought without bias' can even exist on anything more than the must superficial levels.