TikToker claims ChatGPT can make anyone a millionaire

ChatGPT is of interest to many looking to earn easy money. As such, TikTok user IshTheCeo proposes to charge companies up to $1000 for copy produced by ChatGPT instead of a real writer.

The AI-powered program, which saw the light of day around two months ago, can produce any piece of writing – from poems to code. And according to IshTheCeo's idea, it can effectively replace copywriters, as now anyone can use ChatGPT to write stories and sell them on to businesses.

“If you haven’t been living under a rock you would know what ChatGPT is. You can become a millionaire just by using ChatGPT, I guarantee it,” he said in a short video, according to Bristol Live.

The proposal to task ChatGPT with creating copy and charging companies up to $1000 for AI-produced writing sparked much debate about the nature of such a suggestion. Some argued that ChatGPT cannot replace the creativity of humans, while others said that this “lifehack” is useless as companies can simply use ChatGPT themselves.

Although TikToker’s proposal might seem bizarre, users have already been exploiting ChatGPT, tasking it to do their work for them.

As such, students and teachers in New York City’s education system can no longer access ChatGPT amid cheating concerns. The New York City education department, which runs the largest school system in the US, expressed concerns over the integrity and accuracy of responses provided by the program.

OpenAI, which stands behind ChatGPT, released a new feature called AI text classifier, allowing users to check whether a human or artificial intelligence (AI) created the text. However, OpenAI itself admitted that the tool is not entirely accurate.

"While it is impossible to reliably detect all AI-written text, we believe good classifiers can inform mitigations for false claims that AI-generated text was written by a human: for example, running automated misinformation campaigns, using AI tools for academic dishonesty, and positioning an AI chatbot as a human.”

According to the company’s trials, their tool can correctly identify 26% of AI-written text (true positives) as "likely AI-written" while incorrectly labeling the human-written text as AI-written 9% of the time (false positives).

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