i.e.
if bad(t) = fraction of bad instances at time t
and
bad(0) = 0
then
d(bad(t))/dt = -0.05 * bad(t) + 0.01 * (1 - bad(t))
so
bad(t) = 0.166667 - 0.166667 e^(-0.06 t)
Which looks a mighty lot like the graph of bad instances in the blog post.
With AI, we’re constantly training different models, which can’t be trained using asics. If we ever get to the point where we no longer need to train new models, then yeah, it will go the way of bitcoin.
This stuff occurs in smart people more than it should, usually with some sort of anxiety disorder or ADHD. Some of the best public info on this is from Dr Jessica Eccles who examines the relationship between cognition, emotions, and the autonomic nervous system. This stuff shows up in a lot of stats, eg a huge portion of people with long Covid have some sort of hypermobility.
There are effective psychopharmacological treatments for dysautonomia which is usually the underlying mechanism.
https://getgoally.com/blog/autism-spectrum-wheel
Along with many comorbidities (adhd, ocd, depression, etc) which are more likely but not requisite
This leads to the saying "if you've met one person with autism, you've met one person with autism"
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