GPT-3’s API paradigm radically lowers the barrier to entry for interacting with extremely complex machine learning models.
While GPT-3 has incredible transformative use cases that can streamline a variety of complex tasks. It also has potentially dangerous use cases, such as spreading coordinated misinformation.
GPT-3 is making it easier and more natural for the average person to understand what it can do and create different applications and use cases
As Open AI was scaling their models, more research was released concluding that we should actually be more aware and more careful about how we are using this computing power because of the economic and ecological impact. One research paper that compared the carbon footprint of GPT-3 with that of average cars showed that just the initial training phase was comparable to the lifetime of five passenger cars.
So language models like GP are changing the way perceive the world and opened the imagination of what is possible. For example, models like GPT-3 have the potential to replace the way people find information on internet. I can enable access to customized and concrete information that is aligned with search intent. Consider how people use search engines like Google today. They input a search, they get an overwhelming number of results, and then we have to sift through those results to find what we need. This process can take anywhere from minutes to hours, depending on what is being searched. However, GPT-3 can potentially find the exact information needed in only a matter of seconds, converting what could be hours of research and note-taking into only a few minutes.