Most college students have long admitted to cheating in some form, and the top reason for cheating is "there was an opportunity to do so". It’s no surprise that cheating with AI has become a top concern for faculty. Short answer – Yes because if we can do it with publically available tools, so can Google who have invested more in AI than any other tech company. The team behind it have been working hard on it and have developed a simple-to-use tool that does a decent job detecting at now detecting GPT3. It’s simple and fun to use but takes a lot of time if you want to produce anything decent. ChatGPT is currently free to use which is why it has gone viral all over the internet but it failed all of our detection testing.

TextCortex – the powerful paraphrasing tool engineered to reshape your text while preserving its original meaning. Designed for writers needing to paraphrase text for academic papers, blog posts, and website content, TextCortex ensures your text remains plagiarism-free. The threat of AI-driven fraud necessitates a dynamic and proactive approach to security. Financial institutions and digital platforms must continually evolve their verification methods to counter the advancing capabilities of AI technology.

Moreover, it has a built-in AI detector linked to several popular AI checkers like GPTZero, ZeroGPT, and others. This enables you to get multiple AI detection results in one place rather than check them all individually. AI tools like chatgpt prompts to avoid ai detection, GPT-4, and Jasper.ai offer content creators unprecedented speed and efficiency.

That's where our revolutionary AI detection bypass tool comes in. Our cutting-edge technology empowers you to transform AI-generated content into authentic, human-like masterpieces that engage and captivate your audience. The most popular and reliable plagiarism detection tool is Copyscape.

To add to that, the platform has an AI summarizer that you can use to condense lengthy text quickly. It also has a built-in AI detector that enables you to instantly scan your content for any apparent signs of AI generation. Plus, you can use it to make any AI text undetectable in at least 36 different languages. Besides that, the undetectable AI platform has an extremely minimalistic interface that enables anyone to use of the platform without any complications. It even has a few AI bypass mode options that you can use to humanize AI text differently. Its advanced algorithms work to analyse the text and understand the context.

prompt for chatgpt to bypass ai detection example, instead of saying, "The precipitation was abundant," you could say, "It rained a lot." It's straightforward and to the point. AI detectors are looking for writing that seems too perfect or formal. This variety makes writing sound more natural like a real person wrote it.

The accuracy of our model also increases for text similar in nature to our dataset. While we train on a highly diverse set of human and AI-generated text, the majority of our dataset is in English prose, written by adults. No, GPTZero works robustly across a range of AI language models, including but not limited to ChatGPT, GPT-4, GPT-3, GPT-2, LLaMA, and AI services based on those models. Our users have seen the use of AI-generated text proliferate into education, certification, hiring and recruitment, social writing platforms, disinformation, and beyond.

There is a cyber-race to create AI detectors, but determining their accuracy is complex. As both tools and usage change (rapidly), tests need to be redone, and AI detectors are already having to revise claims. Turnitin initially claimed a 1 per cent false-positive rate but revised that to 4 per cent later in 2023. That was enough for many institutions, including Vanderbilt, Michigan State and others, to turn off Turnitin’s AI detection software, but not everyone followed their lead. OpenAI's GPT-2 Output Detector characterizes itself as "an open-source plagiarism detection tool for AI-generated text" to "quickly identify whether text was written by a human or a bot" based on tokens. The language model relies onthe Hugging Face/transformers implementation of RoBERTa (robustly optimized BERT pretraining approach).