It's also a way to make the system more reliable in terms of doing the work!
But I think many people are still missing the point about how AI systems should learn. Arguably, with people we tend to hire and "grow" in-house experts as opposed to outsourcing everything, so why shouldn't we build a system that learns from experience, from its failures?
At first I thought the key was in skills, but skills are static, while you need a continuously learning system
But I think many people are still missing the point about how AI systems should learn. Arguably, with people we tend to hire and "grow" in-house experts as opposed to outsourcing everything, so why shouldn't we build a system that learns from experience, from its failures?
At first I thought the key was in skills, but skills are static, while you need a continuously learning system