> In real life, a human doesn't do classification tasks with the System One part of their brain, they use System Two.
Huh? I guess that depends on the exact definition of "classification", but I think the bulk of basic classification tasks we make every day to make sense of our surroundings, such as object recognition is definitely done using system 1. So is higher-level "stereotyping" or anything you could described with "I know it when I see it".
Because those responses can be incorrect or even harmful, you would sometimes make use of system 2 to correct them - but that doesn't change that the initial response is from system 1.
Sure, object recognition is System 1, but Jev's own use cases list things like security incident triage, invoice approval, agent escalation, support actions, etc.
Those are generally the kind of tasks that require "System 2" in humans.
To be clear, I think the whole "System 1 vs System 2" framing is a pretty limiting way to think about AI (and thinking in general).
They are "System 2" in humans, because we haven't evolved the necessary wetware circuitry for it to be "System 1".
But with models, we can train them to answer such questions without verbal reasoning.