AI and Social Media: Not the Best Mix Yet

As AI advanced, the use increases, but its delivery still has a lot of work. It's called "the toy problem." Researchers use datasets that have already been cleaned up and are set up to easily agree with certain models. This is great for teaching, but it doesn't go far enough to deal with the problems that come up when AI is used. For example, finding the right "reward" function is the first thing that needs to be done. Machines do EXACTLY what they are told, but they don't understand the subtleties. The "paperclip problem" is a typical example: if you tell an AI model to optimize for making paperclips, it will probably waste resources making more of them without thinking about the bigger picture. Hence the photo in the following article: https://www.linkedin.com/pulse/ai-applications-bridging-gap-between-theory-real-world-solutions-0w3ie/?trackingId=kIehwT5lRf6ichTnI1ioUw%3D%3D

I asked AI "What is snail mail?" This was the result:

Applied AI knowledge is needed to understand and deal with these subtleties for the best business results.