@stavvers

Omg this is awesome!

An IRL example of feedback bias.

Machine learning AI may output great results, but sometimes has a little mistake.

In that case, if it trains with results it outputed, it's possible that what it trained with has a mistake.

But since it doesn't know that it's a mistake, it trains with that faulty information and integrates it partially.

Then it makes another little mistake alongside the mistake it just learned from, and outputs worse and worse results.