The internet has become a garage of recycled clothes, and let’s be honest, we are not going to stop using AI anytime soon.
The problem is not that we are using AI to write; rather, it is the lack of original contributions. We have outsourced our thinking to chatbots, and that is a major problem.An AI is like a librarian that has access to the “human repository of knowledge” or Google. It scans the best articles based on authority (this must be already established) and suggests the most helpful content to you based on your query.Now consider this scenario: If every article is built on the previous one, uses tools like Quillbot to shuffle words to avoid plagiarism detection, ranks on the first page of Google, and the AI assumes it has authority because authority can be manipulated (For example, writing fake bios), what new information are you gaining?What new information is being added to this human repository? How can you be assured that the information you are getting is trustworthy?How to Identify AI Slops?
The only way to identify AI slops is by using AI! Ironically, the more you use AI, the more you become familiar with how an AI writes. Chatbots have a signature style just like humans.
Humans are trained on human data. We take information from the external world and then use it in our writing. Whether we are consciously aware of it or not, much of our writing is heavily influenced by our knowledge, experience, emotions, and personal research. This is used to build our individual style.This is why the best writers are also the best readers.What I have noticed is that just like a human, an AI also has its “signature style”. Once you catch this, you don’t need a “plagiarism checker” to tell you if the content is original or not. You just know it.
Plagiarism checkers are heavily unreliable as well. It will detect a human as a bot, and a bot as a human if its metrics say so.
Hence, the only plagiarism checkers in at least the area of research should be humans who use chatbots heavily and can detect “em dash” and words like “profound” in their sleep. We can no longer rely on a tool.I am not denying the importance of plagiarism checking tools. I am saying that, along with plagiarism-detecting tools, we need to use our own minds.An Alternative Path
There is an alternative.
The alternative is to create a tool using Chatbots that will allow chatbots to detect their own words.
For example, Gemini can be used to highlight words by Gemini. ChatGPT can be used to highlight words from ChatGPT. Similarly, each bot can provide how likely the text is to be generated from that model. A percentage of how likely the outcome is from that bot.Thereafter, the tool can calculate how likely each bot has been used in the given research-based text.The only problem here would be to constantly stay up-to-date with model updates.Googling History
AI thrives on new data. The only new data available to plagiarize is the new data you are providing to algorithms. Other than that, in my opinion, the internet is filled with saturated content.
This means the internet is starving for original thoughts.
Therefore, research and opinion-based works have a high chance of working in the new information age. The time when we used to rely on an article on “how to cook rice” is over because an AI overview has taken center stage.There would be no clicks. There would be no need for SEO writers.In time, Google would start to fully function as a repository like “vixra.org”, and models like Gemini would become the new search tool.
Content on Google would become optional.
Yes, we are already relying on them. But the reliance will get heavier than ever, and the only thing we will need is Chatbot answers. Google, as a search engine, would fade from human minds. News agencies will become far more important than ever.This shift won’t happen overnight. Slowly, Google will stop becoming our go-to place for information and will become a legacy research tool used to back up AI. It will no longer be a search tool.
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