I see the GPT family of models as infrastructure, not a finished product. As the blog post describes, they can be a piece of a pipeline. For example, GPTs don't

I see the GPT family of models as infrastructure, not a finished product. As the blog post describes, they can be a piece of a pipeline. For example, GPTs don't know about the high school football game that just ended, and you're not going to send a reporter to cover it. But you can apply a traditional data pipeline to feed game information into the model to generate an article about it. Every article will be written in a slightly different way, and the 100 people who read them will cover the cost of production.