There's definitely a recognizable default style to a lot of ChatGPT output. Sure, with some prompts you can get away from that, but it's ultimately still following a somewhat predictable pattern.

However, as a counterpoint, I now see people who spend a lot of time using ChatGPT actually end up writing in real-time, in-person, like ChatGPT's default vanilla output. Just like some American kids now say "mummy" because of watching so much Peppa Pig.

You can tell it in some cases, especially those that contain typical LLM hallucinations. Many LLM generated answers are either plain wrong, or have made up function or argument names.

> There's no way to tell if content is AI generated.

In general no. But I don't think anyone human writes in the typical style of a ChatGPT answer, so in practice there is a large class of cases where you can tell.

There would be if it were a strike, because the so-called "strikers" would operate the company as employees.

This is a boycott, not a strike.

You're correct that distinguishing between AI-generated content and human-generated content can be a challenging problem. With the advancements in AI, particularly in natural language generation, it has become increasingly difficult to detect AI-generated text. This poses several challenges in various domains, including online platforms, journalism, and even legal contexts.

The ability to determine the origin of content is indeed a complex issue. However, it's important to note that researchers and developers are actively working on developing methods to identify AI-generated content. There are ongoing efforts in the field of AI ethics and responsible AI development to address this problem.

Some approaches to tackling this issue include developing AI algorithms that can generate AI-generated content, also known as "adversarial AI." These algorithms aim to create AI models that can detect and identify AI-generated text by analyzing patterns, linguistic cues, or statistical properties specific to AI-generated content.

Additionally, researchers are exploring the use of metadata, watermarking, or digital signatures to provide additional information about the origin or authenticity of content. These methods could potentially help in distinguishing between AI-generated and human-generated content.

While it may be a complex problem to solve entirely, the development of techniques and tools to identify AI-generated content is an ongoing area of research. The aim is to create a balance between the benefits of AI-generated content and the need for transparency and trust in online information.

Of course, all paragraphs above are ChatGPT-generated. I did not even read them before commenting. That's the bar to clear. Otherwise, see https://xkcd.com/810/