Waldorf  AI  Nature Network  is Moving           

Over the past decade and a half, the world has moved through multiple phases of artificial intelligence.   

1. Perception AI

Modern AI really came into consciousness about 12 to 14 years ago, when AlexNet came out and computer vision saw its big, giant breakthrough. AlexNet was a computer model unveiled during a 2012 competition that demonstrated the ability of machines to recognize images using deep learning.

2. Generative AI

The AI model has learned how to understand the meaning of the information but [also] translate it into different languages, images, code and more. 

3. Reasoning AI

We're now in this age called 'Reasoning AI'... where you now have AI that can understand, it can generate, [and] solve problems and recognize conditions that we've never seen before. Artificial intelligence, in its current state, can solve problems using reasoning. 

Looking ahead 4. Physical AI

The next wave requires us to understand things like the laws of physics, friction, inertia, cause and effect  

Physical reasoning abilities, such as the concept of object permanence — or the fact that objects continue to exist even if they're out of sight — will be big in this next phase of artificial intelligence.

Applications of physical reasoning include predicting outcomes, such as where a ball will roll, understanding how much force is needed to grip an object without damaging it and inferring the presence of a pedestrian behind a car.