> but it goes against ML engineers natural tendency when detecting a wrong answer: Teaching the model the right answer.
Hard to buy.
If a machine makes a mistake, it's because it was configured wrong or because of wear and tear, solar flares or some quake or some manufacturing defect in a part.
If a learning machine makes a mistake, it's because it's learning has not extended it's rule set to cover that matrix/mistake/pattern, yet; and so it includes that mistake/matrix and other mistakes, analyses for patterns and then creates mistakes that fall into that pattern. Later doing that in a rolling release or canine kind of way and even later learning machines will do it all live, synchronous to their concurrent actions.
But yeah, thinking about that, I see why ML engineers wouldn't get there from scratch. It's a rhythm, after all, an epiphany about or realization of how ones dog, ones brain works, learned and then coded step by step. And there is, of course the variety of how people learn and "realize".
Someone has to show us the work of those savant programmers/engineers I still haven't seen a documentary of.
Hard to buy.
If a machine makes a mistake, it's because it was configured wrong or because of wear and tear, solar flares or some quake or some manufacturing defect in a part. If a learning machine makes a mistake, it's because it's learning has not extended it's rule set to cover that matrix/mistake/pattern, yet; and so it includes that mistake/matrix and other mistakes, analyses for patterns and then creates mistakes that fall into that pattern. Later doing that in a rolling release or canine kind of way and even later learning machines will do it all live, synchronous to their concurrent actions.
But yeah, thinking about that, I see why ML engineers wouldn't get there from scratch. It's a rhythm, after all, an epiphany about or realization of how ones dog, ones brain works, learned and then coded step by step. And there is, of course the variety of how people learn and "realize".
Someone has to show us the work of those savant programmers/engineers I still haven't seen a documentary of.