To teach AI how to understand and generate humanlike writing, it is trained on a massive amount of text from various sources, such as websites, books, and other digital documents. This is called pretraining, and unlike earlier forms of AI, it is unsupervised, which means the AI doesn’t need carefully labeled data. Instead, by analyzing these

To make the most of this relationship, you must establish a clear and specific AI persona, defining who the AI is and what problems it should tackle.

At the level of tasks, we need to think about what AI does well and what it does badly. But we also need to consider what we do well and what tasks we need to remain human. Those we can call Just Me Tasks. They are tasks in which the AI is not useful and only gets in the way, at least for now.

You realize the world has changed in fundamental ways and that nobody can really tell you what the future will look like.

Given a machine that can make anything, we still default to what we know well.

Because of the variety of data sources used, learning is not always a good thing. AI can also learn biases, errors, and falsehoods from the data it sees.

this particular AI is the first machine to become as smart, capable, creative, and flexible as a human, making it what is called an Artificial General Intelligence (AGI).

No one really knows where this is all heading, including me.

AI could catalyze interest in the humanities as a sought-after field of study, since the knowledge of the humanities makes AI users uniquely qualified to work with the AI.