3 ms·

Human features such as faces and fingers are easy for us humans to parse because our attention is instantly drawn to them, and we are highly sensitive to "noise

by fzliu 3y ago

Human features such as faces and fingers are easy for us humans to parse because our attention is instantly drawn to them, and we are highly sensitive to "noise" for that particular domain. AI-generated content of a three-toed animal, for example, that is pictured with four toes might slip a lot of people's minds. I unfortunately don't see how vector database would be able to help with this. The knowledge bases that they provide are meant to enable large-scale retrieval and vector search. One way to fix the problem you mention is perhaps to increase the proportion of features that draw human attention (e.g. faces) in the training dataset.

reaperman 3y ago
> faces and fingers are easy for us humans to parse because... because we have dedicated neural hardware for faces -- the "fusiform face area", a relatively small volume of the brain which is used by non-autistic humans for facial recognition/processing. A lot of our sensitivity to human faces is neural structure that's in our DNA, and yes that does pair with a lifelong obsession over human faces to spend huge amounts of energy learning more about them. But after infant brain development we're not relying on a blank slate for human faces. > One case study of agnosia provided evidence that faces are processed in a special way. A patient known as C. K., who suffered brain damage as a result of a car accident, later developed object agnosia. He experienced great difficulty with basic-level object recognition, also extending to body parts, but performed very well at recognizing faces. A later study showed that C. K. was unable to recognize faces that were inverted or otherwise distorted, even in cases where they could easily be identified by normal subjects. This is taken as evidence that the fusiform face area is specialized for processing faces in a normal orientation.
- 35mm 3y ago
  Is it known what autistic people use it for? Different for each person?
skybrian 3y ago
It seems like generative image generators can’t count very well and we notice whenever the number of something is supposed to be fixed. They also screw up the black keys on a piano.

by fzliu 3y ago

reaperman 3y ago

> faces and fingers are easy for us humans to parse because... because we have dedicated neural hardware for faces -- the "fusiform face area", a relatively small volume of the brain which is used by non-autistic humans for facial recognition/processing. A lot of our sensitivity to human faces is neural structure that's in our DNA, and yes that does pair with a lifelong obsession over human faces to spend huge amounts of energy learning more about them. But after infant brain development we're not relying on a blank slate for human faces. > One case study of agnosia provided evidence that faces are processed in a special way. A patient known as C. K., who suffered brain damage as a result of a car accident, later developed object agnosia. He experienced great difficulty with basic-level object recognition, also extending to body parts, but performed very well at recognizing faces. A later study showed that C. K. was unable to recognize faces that were inverted or otherwise distorted, even in cases where they could easily be identified by normal subjects. This is taken as evidence that the fusiform face area is specialized for processing faces in a normal orientation.

35mm 3y ago
Is it known what autistic people use it for? Different for each person?

skybrian 3y ago

It seems like generative image generators can’t count very well and we notice whenever the number of something is supposed to be fixed. They also screw up the black keys on a piano.