Linda Gottfredson is a brilliant intelligence researcher. Her work is based on the premise that, when we ignore the reality of IQ and the profound impact it has on daily life and the workplace, it’s unfair and counterproductive to everyone. The first Gottfredson paper I usually point people to is Why G Matters. Dr. Gottfredson has engaged in a tremendous amount of careful research to test her hypotheses on IQ and its significance to human society. From What Do We Know About Intelligence?:

The first and very lively contest among pioneers in the then young study of intelligence, continuing well past mid-century, concerened wheteher there even exists a general mental ability as distinct from multiple, unrelated abilities. In another heated debate, a large cadre of IQ researchers in the 1960s and 1970s made very concerted efforts to prove mental tests culturally biased. Ironically, it was the every vigor of attempts to disprove the reality and importance of general intelligence that in the end so clearly proved both.

Evolution is lazy. It does as little as possible to get by. Unlike human engineers, it doesn’t perform optimization based on some abstract referent, but based on the inclusive fitness of nearby conspecifics. With all this in mind, it’s remarkable that a general intelligence ability evolved rather than a patchwork of quick-and-dirty cognitive modules with the purpose of excelling in niche tasks, which is usually more than enough to maximize inclusive fitness. Perhaps it was “waiting in the configuration space” for evolution to discover.

The utter speed with which evolution went from complex non-general intelligence to general intelligence is remarkable. Why was general intelligence necessarily accompanied by consciousness? The two should be viewed as distinct. Today, certain AI researchers seek to create optimization engines with general intelligence, but lacking numerous features possessed by human beings – social instincts, self-deception, consciousness (in the Chalmers sense), inconsistency, boredom (and thereby countersphexishness), observer-centered goal systems, and others. In a sense, these researchers are sculptors like Michelangelo, looking at the marble block of the Homo sapiens mind and shaving off large quantities of material to achieve a desired end product, which is supposed to guide us to the other side of dawn. In another sense, these researchers must be mathematicians, building up a very complex theorem from scratch, a theorem which must formally prove its validity with each dynamic step it takes through the cognitive configuration space. This complex bottom-up/top-down dichotomy, and the extreme specificity and security it demands, are challenges that humans traditionally mess up on before they get it right.

Getting it right will require complex tricks. Where researchers sometimes disagree is on how tricky or how complex these tricks will need to be. It is agreed that programming in the “core” of the theorem cannot be directly inspired from the messiness or self-contradictory nature of actual human brains. But because human brains are the only general-intelligence-imbued optimizers on the planet that we know to be consistent with the continued existence of the human race, it is tempting to steal as much as possible of their information content to give to our mind children. The only question is, how much information stealing is appropriate? Like trying to push the water volume of a fire hose through a plastic straw, the normative human psuedo-utility function is not a suitable vessel for the magnitude of optimization power that a recursive self-improver promises to deliver.