“Is unlikely to exist” and “does not exist” are two very different statements, but it really doesn’t matter because GP’s point stands if you replace the exaggerated IQ with something reasonable like 160.

OK. The more precise statement is that when the test was created you would have had about 99.3% to 99.42% chance that such a sample did not exist if you were to test all the population this test was designed for (depending on population statistics of the time that are a bit unclear).

To be clear, I do not endorse the validity of these tests or their interpretation at any level. Learning to be a lifelong learner can take almost anyone a really long way. The analogy to neural nets is that bigger nets dont always make a better model after a point and every human starts at a very priviledged/huge network capacity.