Personability vs Abstractness: How much will the first powerful AI systems take on the traits of humans, versus to what extent will they be idealized, unbiased reasoning algorithms.
If the missing pieces of intelligence come from scaling up ML models trained on human data, we might expect a bias towards humanlike cognition, whereas if the missing pieces of intelligence come from key algorithmic insights, we might expect fewer parallels.
Personability vs Abstractness: How much will the first powerful AI systems take on the traits of humans, versus to what extent will they be idealized, unbiased reasoning algorithms.
If the missing pieces of intelligence come from scaling up ML models trained on human data, we might expect a bias towards humanlike cognition, whereas if the missing pieces of intelligence come from key algorithmic insights, we might expect fewer parallels.