At this point, ChatGPT has firmly established itself into the cultural zeitgeist. People are using it to perform tasks like writing research papers, completing math equations, and crafting code. It is at least a part (if not a frontrunner) of a recent wave of AI generators that can make whatever your heart desires when you input phrases and parameters into the prompt box provided by the app. But all of that may be put on pause as a research paper out of Stanford University and UC Berkeley is claiming that ChatGPT is degrading in accuracy.

It strikes me as paradoxical that businesses feel very secure in using artificial intelligence to let people know, for example, when it is safe to make a lane change at 100 kilometres per hour, yet they are reticent to use the same technology to classify and manage information through its lifecycle. Artificial Intelligence is used almost every minute of every day, in nearly every smart device we own. 

There’s been much ado about the pros and cons of artificial intelligence over the last few months since the start of the ChatGPT era. Generative AI has hit the mainstream; new vendor solutions are cropping up daily and professionals from many different industries are giving it a test drive.