A computer uses equations to seek verification from data; the human brain uses actions to seek falsification from the unexpected.
Computers, in other words, are passive learners. They amass facts and act only when prompted. Humans, meanwhile, learn dynamically. We take the initiative — and base our behavior not just on what we’ve previously memorized but also on the newness of our current environment. In familiar circumstances, we repeat what worked before. In novel circumstances (i.e. when our neurons sense unknown unknowns), we perceive: I don’t know exactly what to do. So, we improvise, experiment, and venture original behaviors.
That’s why human experts are able to act almost as smart as computers in regular environments — and why human experts are able to act much, much smarter than computers in volatile environments where newness (and therefore, not-knowing) is high.
Excerpt by Angus Fletcher for Big Think
https://bigthink.com/business/why-warren-buffetts-superpower-is-an-achilles-heel-for-ai/
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