AI is getting better at learning from its mistakes. It's like a student who keeps practicing and improving based on feedback. This is happening through something called dynamic feedback loops. These loops let AI systems learn from real-world interactions and get better over time. At the heart of this process is human oversight. People give feedback, like ratings or ...

Imagine a series of events where each one explains the next, and the final event wraps back around to explain the first. Sounds like a tricky concept, right? This idea is known as explanatory circles. Some people believe these circles exist, and let's dive into why. Firstly, think about worlds described by general relativity, where time isn't linear but circular. In...