Will AI Replace Writers?

The robots are indeed taking over.

I’m going to write a few posts on AI (artificial intelligence) writing. With the arrival of GPT-3, authors of all kinds (bloggers, writers, social media authors) have the opportunity to use AI not to just recommend text but completely write text. It doesn’t matter how you feel about this; it will happen anyway. In fact it is already happening.

If you know me, you know I’m going to argue for the craft and importance of writers—human writers. But to give you an example of what this technology can do, I asked ChatGPT to write three hundred words on GPT. This is what it produced in about two seconds:

GPT, or Generative Pretrained Transformer, is a type of language model developed by OpenAI. It is a neural network-based model that uses machine learning techniques to generate natural language text that is similar to human writing. GPT was trained on a large corpus of human-generated text, such as books and articles, which allowed it to learn the patterns and structure of human language.

One of the key features of GPT is its ability to generate text in a variety of styles and formats. For example, it can generate news articles, poetry, or even code. This makes it a versatile tool for a range of applications, including natural language processing and content creation.

GPT uses a transformer architecture, which allows it to process large amounts of text efficiently. This makes it particularly useful for tasks such as machine translation and text summarization, where the model needs to quickly analyze and understand a large amount of input text.

One of the challenges with GPT is that it is a "black box" model, which means that it is difficult to interpret how it arrives at its output. This can be a problem for some applications, such as when the model is used for decision-making or other tasks where interpretability is important.

Despite this limitation, GPT has shown impressive performance on a range of natural language processing tasks. It has achieved state-of-the-art results on benchmarks such as the GLUE benchmark, which evaluates the performance of natural language processing models on a variety of tasks.

In conclusion, GPT is a powerful and versatile language model that has shown impressive performance on a range of natural language processing tasks. Its ability to generate text in a variety of styles and formats makes it a valuable tool for a range of applications. However, its black box nature can be a limitation in some cases.

Think through some implications while I work up the next post.

• Is this plagiarism?

• Is this an ethical way to write?

• I used Grammarly to edit this post. Where do we draw the line?

• Is this an ethical way to produce rough drafts?

• What do we lose the more computers are involved in writing?

Photo by Rock'n Roll Monkey on Unsplash