I would not be surprised if the negative stereotype of a “blonde” would be people socially recognising the undesirability of anti-autism. Also a trope about approaching homework to bully or bribe people to make them for you and approach to tests as trying to copy the right answers makes one resistant to extracting knowledge from education. And while it is great to defer to experts on areas you are not an expert in it would be grand if there were something you are yourself an expert on. If an employee only delegates and never does or is capable of doing work that could be a setup with all mortar and no brick.
Treating autism as a degree of emphathy is a little simplistic and might be a error-mode in these kind of analyses.
What I have found that autist have social competence with practising and thinking out social situations. Their models are explicit. Non-autists usually don’t have great theorethical insight to their social competence. its as if they can’t modify or customise it because it is a black box that doesn’t hiccup. So I have come to think that the implicit vs explicit modelling is way more apt for the difference.
With neural networks we have a problem of interpretability that we can have a competent network where we don’t have a good idea how it does its thing. It is intriguing to me to think that some people have models that have like 10 million factors and some that have only 1000. Social interaction might be a field where approaches that weakly update on a lot of different signals can naturally do well. The shortcomings of autistic people often look like being too formulaic, having a heuristic that doesn’t have a lot of caveats or adaptability. Rules that the person is explicitly thinking via auditory memory. The challenges that is typical for non-autistics is murkyness, having to say a thing multiple times before it sinks (say having to say “no” three times. Reading the manual and still calling the helpline to integrate information that actually is in the manual), being confused by mixed signals and having trouble giving priority to some level (if you say “no” calmy it might just induce confusion, verbal level alone being too weak a signal to process)
I would also like to point out that if you live with people that sahre your cognitive makeup means you don’t have to think about psychology but can just get interpersonal interoperability by symmetry or identicalness. If you are a neurominority then you will use signficant resources to try to figure out what is a working way to interface with other people. So I consider autists to be veterans about trying to interface, even if it by neccecity.
I would not be surprised if the negative stereotype of a “blonde” would be people socially recognising the undesirability of anti-autism. Also a trope about approaching homework to bully or bribe people to make them for you and approach to tests as trying to copy the right answers makes one resistant to extracting knowledge from education. And while it is great to defer to experts on areas you are not an expert in it would be grand if there were something you are yourself an expert on. If an employee only delegates and never does or is capable of doing work that could be a setup with all mortar and no brick.
Treating autism as a degree of emphathy is a little simplistic and might be a error-mode in these kind of analyses.
What I have found that autist have social competence with practising and thinking out social situations. Their models are explicit. Non-autists usually don’t have great theorethical insight to their social competence. its as if they can’t modify or customise it because it is a black box that doesn’t hiccup. So I have come to think that the implicit vs explicit modelling is way more apt for the difference.
With neural networks we have a problem of interpretability that we can have a competent network where we don’t have a good idea how it does its thing. It is intriguing to me to think that some people have models that have like 10 million factors and some that have only 1000. Social interaction might be a field where approaches that weakly update on a lot of different signals can naturally do well. The shortcomings of autistic people often look like being too formulaic, having a heuristic that doesn’t have a lot of caveats or adaptability. Rules that the person is explicitly thinking via auditory memory. The challenges that is typical for non-autistics is murkyness, having to say a thing multiple times before it sinks (say having to say “no” three times. Reading the manual and still calling the helpline to integrate information that actually is in the manual), being confused by mixed signals and having trouble giving priority to some level (if you say “no” calmy it might just induce confusion, verbal level alone being too weak a signal to process)
I would also like to point out that if you live with people that sahre your cognitive makeup means you don’t have to think about psychology but can just get interpersonal interoperability by symmetry or identicalness. If you are a neurominority then you will use signficant resources to try to figure out what is a working way to interface with other people. So I consider autists to be veterans about trying to interface, even if it by neccecity.