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How AI-generated content could change the Internet for ever

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If you’re a Gen Z or a millennial who spends a lot of time online, you’ve probably come across some content that was created by artificial intelligence (AI). Maybe the AI-generated content was a catchy headline, a funny meme, or a convincing product description. But did you know that AI can also generate entire articles, blog posts, or even books?

AI-generated content is any content that is produced by an AI system, such as a large language or image model. These models are trained on massive amounts of data and can learn to generate new content based on the input they receive. For example, GPT-3 is one of the most advanced language models in the world. And it can write anything from essays to poems to tweets, given a few words or sentences as a prompt.

AI-generated content has many benefits for both creators and consumers. It can save time and money, improve quality and variety, and personalise content to individual preferences. However, it also poses some serious challenges and risks for the future of the internet and society.

The problem with AI-Generated Content

A recent study by researchers from the UK and Canada explored what happens when AI-generated content proliferates around the internet. And when AI models begin to train on it, instead of on primarily human-generated content. What they found is worrisome for current generative AI technology and its future.

The researchers used GPT-3 to generate fake news articles on various topics, such as politics, sports, and entertainment. They then mixed these articles with real news articles from reputable sources and fed them back to GPT-3 as training data. They repeated this process several times and measured how the quality and accuracy of the generated content changed over time.

The results showed that GPT-3’s performance deteriorated significantly as it trained on more fake news articles. The model became more biased, inconsistent, and incoherent. It also started to generate more false or misleading information, such as fake quotes, facts, or sources. The researchers concluded that AI-generated content can have a negative impact on the quality and reliability of information on the internet. And hence potentially influence public opinion and behaviour.

How to deal with AI-Generated Content

As AI-generated content becomes more prevalent and sophisticated, it is important for Gen Z and millennials to be aware of its implications and how to deal with it. Here are some tips to help you navigate the online world of AI-generated content:

  • Be critical and skeptical: Don’t believe everything you read or see online. Always check the source, date, author, and credibility of the content you consume. Look for evidence, references, or citations that support the claims or arguments made in the content. If something sounds too good or too bad to be true, it probably is.
  • Use tools and resources: There are some tools and resources that can help you detect or verify AI-generated content. For example, you can use reverse image search engines like Google Images or TinEye. In order to find out where an image came from or if it has been manipulated. You can also use fact-checking websites like Snopes or PolitiFact to verify the accuracy of news stories or claims.
  • Report and flag: If you encounter AI-generated content that is harmful, offensive, or misleading, you can report or flag it to the platform or website where you found it. This can help prevent other users from being exposed to or influenced by such content. You can also contact the original creator or source of the content if you have any questions or concerns about it.
  • Be creative and ethical: If you decide to use AI-generated content for your own purposes, such as for entertainment, education, or marketing, make sure you do so in a creative and ethical way. Don’t use AI-generated content to deceive, manipulate, or harm others. Don’t plagiarize or claim credit for content that was not created by you. Don’t violate any laws or regulations regarding intellectual property rights or data privacy.

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