An algorithm is used to predict what your viewers will watch next.
It has to understand the kinds of content you will be watching, the quality of the videos, the amount of time you spend watching them and whether or not you are interested in watching them.
The algorithm will then adjust the amount you spend on each video according to these parameters.
YouTube has been the target of criticism for years, and its algorithms have been criticised for being too complex and overly influenced by algorithms.
The problems are largely due to the fact that algorithms are designed to be imperfect, and as such they cannot always predict everything about what you will watch.
This means that the algorithms that are used to help create these predictions cannot always anticipate the content you are going to watch.
For example, the algorithms used by the advertising giant to help sell ads are notoriously flawed.
When they make predictions based on your past behavior, you will often end up paying more than they predicted, which can be quite embarrassing.
A more comprehensive approach is to use artificial intelligence, or AI, to help your prediction algorithms.
This type of AI uses the information contained in your videos and other data to help it make predictions about what to do next.
In addition, it can use the video to generate recommendations for future videos.
These recommendations can be made by a machine, which will then be able to follow these recommendations and determine what to watch next based on its own experience.
It is very hard to predict exactly what people will watch, but using artificial intelligence to help you make your videos is a promising and useful step.