Limited memory AI has the ability to observe and learn from specific situations that are presented to it. Elon Musk's own auto-pilot feature uses information in the world around it, such as what we use in our streets to reduce traffic and accidents, then observes the way other objects in the area are reacting. From there the machine can use what it knows to react to the situation it is in or perform a certain task like parking. Though this is certainly an amazing feat for artificial intelligence, it is still little to what can be achieved. In the article by Hintze, he also goes on to say that the memory of limited AI is well, limited. although the AI is able to gather information and use it, it still does not achieve the same kind of experience learning that humans can (Hintze, 2019). Then what is the next step? How can AI achieve an even greater level of learning?
Limited Memory AI is represented in real life by self-driving cars, chatbots and digital assistants. These machines operate with a specific set of digital information. In self-driving cars, the car is able to understand its surroundings and make appropriate decisions about civilians on the outside, traffic, bad road conditions and weather.