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Also, note that this is why the take "evolutionary innate knowledge is the human equivalent of pretraining in neural networks, see, humans are not data-efficient after all" is so incredibly braindead and ignorant
Humans come into the world with a lot of priors, but they are very specifically scoped, and they're very much unlike pretraining knowledge in neural networks. Most of them are metalearning priors. Babies don't come with pretrained ImageNet weights.
Crucially, our prior knowledge was not evolved in the past 500k years. It is very ancient and shared by many of our distant cousins (pretty much 100% shared by great apes in particular). It isn't what makes us special.
Not talking specifically about visual knowledge here -- this is true of all of our priors, including metalearning priors. These things take time to encode. Anything shorter than 500k years won't make a meaningful difference
This thread is extremely insightful, do you mind sharing the source? Wanted to read about it in more detail!
I found this essay on the topic very interesting:https://www.nature.com/articles/s41467-019-11786-6 …
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