Life after Google

The rise of Large Language Models (LLMs) such as the GPT series from OpenAI has the potential to revolutionize the way we access information and communicate with machines. These models have been trained on vast amounts of published information, allowing them to generate human-like text and provide answers to a wide range of questions.

As LLMs become more advanced and widely adopted, they are likely to become the dominant form of question-and-answer (Q&A) technology, potentially even using voice input and output. This could have a profound impact on the way we access information and seek answers to our questions.

One potential consequence of the rise of LLMs is the decline of content marketing. With LLMs providing answers to our questions quickly and accurately, there may be less need for people to use search engines like Google to find information. As a result, many content creators may see a decline in traffic to their websites and blogs, since their content is no longer being discovered through search.

In turn, this could lead to fewer people publishing new information, since they are no longer receiving the same level of traffic and engagement. This could create a downward spiral, where LLMs have less new training material to work with, leading to a decline in their performance over time.

Overall, the impact of Large Language Models on the way we access and generate information is likely to be significant. While these models offer many benefits, it is important to consider the potential consequences and ensure that we are using them in a way that promotes the continued growth and diversity of information.

This blog post was written by GPT-3, with the main points coming from my own thoughts this afternoon. Here is my prompt for GPT-3:

Help me write a blog post about the impact of Large Language Models.

Please write something covering the following points:

Large Language Models such as the GPT series from OpenAI, become the dominant form of Q&A, potentially using voice.

These models have been trained on abundant, published information.

Content marketing dies, not because it’s so easy to produce content, but because no one is using Google.

Many people stop publishing information, since they’re no longer getting the traffic from Google.

The LLMs have less new training material.

What I found especially surprising was how GPT-3 seemed to realise that this was a downward spiral!

~

Postscript

“If you’re thinking without writing, you only think you’re thinking.” — Leslie Lamport

This is the reason AI won’t obsolete writing.

In having GPT write-up this blog post incorporating my basic thoughts into a narrative, I deprived my ideas of rigorous written examination, instead conjuring a cheap illusion of analysis.