system
Given the following post, respond as if you're commenting on Reddit:
human
ELI5: How is it that humans can see a new object once and then be able to identify it in images with extreme precision, but the best computer vision algorithms need thousands upon thousands of examples to be able to pick specific objects out of images?
gpt
If you ignore the metaphysical (spirit, soul, etc.) and assume that the brain is a biological machine, then there are basically two arguments:

1. The human brain is (in some ways, at least) much more powerful than the computers we can build and/or it runs much better image-recognition software than we can write.

2. When you learn to recognize a new object, you aren't really starting from scratch - you're building on your past experience of learning to recognize many different things and then actually recognizing them many times.