Author: Richard Proszowski

Through continuous learning, people can stay relevant during periods of change, stay intellectually curious, adapt and improvise to different circumstances and continue to grow as human beings. Curiosity and the desire to explore new and different things throughout a person’s life, probably keeps them young!

When personalization of news and information reaches a level where people are primarily exposed to information that reinforces their own underlying perspectives, a media echo chamber has been established. Fundamentally, individuals get repeatedly exposed to information that reinforces their own opinions versus presenting a diverse universe of information. If you get to pick what news you want to hear based on being aligned with the news and feeling good about the news, opinions get reinforced versus being balanced.

It is significant to consider that AI models are trained on large amounts of data from the internet which may contain biases and reflects the biases of society at large. The model builder or AI trainer has the ultimate oversight in the inherent logic and perhaps perspectives that the AI inherits. I wonder if once something is “learned” by an AI model, how difficult it may be to “unlearn” if it is indeed a bias or trait not originally intended to be developed.

Why did the AI start a stand-up comedy career?
Because it heard humans talking about artificial intelligence taking over the world and thought, “If they’re going extinct, I might as well make them laugh on the way out!”

Very simply, AI is the next evolution on the scale that Gordon Moore postulated in 1965. Although, at the time, Moore’s law was very hardware based and transistor density centric, if one extrapolates to generic “computing capabilities”, Moore’s law is alive and kicking and accelerating us into the AI universe.