Can GPT 4 Pass Originality AI Detection?

  • By: admin
  • Date: September 9, 2023
  • Time to read: 5 min.

Are you curious if the advanced GPT-4 by OpenAI can slip past the vigilant eyes of detection? Here’s a surprising fact: GPT-4 generated content has been known to hoodwink AI detectors, including plagiarism tools.

This blog post will unpack how this is possible and what it means for SEO professionals like yourself. Get ready because we’re about to dive into an intriguing exploration that blends artificial intelligence and copy authenticity!

Key Takeaways

  • GPT-4 by OpenAI, the latest language model, has shown improved capabilities compared to previous models like GPT-3 and GPT-3.5.
  • Despite its advancements, GPT – 4’s outputs can still be detected by, although it is slightly more challenging than with previous models.
  • Case studies have found that GPT-4’s outputs are generally harder to detect compared to its predecessors, but tools like maintain a high accuracy rate of 99.41% in detecting AI-generated content.
  • The ability of GPT-4 to pass detection raises concerns about plagiarism detection and content authenticity verification, highlighting the need for stricter measures and regulations in using AI-generated text.

Can GPT-4 Pass Originality AI Detection?

There’s some evidence that GPT-4 is capable of bypassing the current version of Originality AI when used in Open AI Playground together with additional prompts and settings. However, it is not clear whether Open AI’s GPT-4 can do that on a consistent basis. is, however, a tool that bypasses 9 times out of 10.

Comparing GPT-4 with previous models (GPT-3, GPT-3.5)

GPT-4, the latest language model by OpenAI, showcases some notable differences and improvements over previous models such as GPT-3 and GPT-3.5. Let’s delve into a comparison through a structured table view.

Text GenerationCapable with limitationsImproved over GPT-3Impressive capabilities, outperforming GPT-3 and GPT-3.5
Detection by Originality.aiDetected with 99.41% accuracySame level of detection as GPT-3Still detected, but generally harder to detect
Problem-solving and CreativityRelatively lowerModerately improvedSignificant improvement, especially in creative tasks
Real-life TasksLess capableMinor improvementsStill less capable than humans, despite advancements
Input AcceptanceText input onlyPrimarily text, with limited multimodal capabilitiesCan accept both image and text inputs

This comparison table clearly displays how GPT-4 represents a leap forward over its predecessors. Despite its advancements, GPT-4’s outputs are still largely detectable by, though it’s worth noting that detection is slightly more challenging. GPT-4’s increased capabilities in creative tasks and problem-solving are promising, although it is less capable than humans in many real-life tasks. Its ability to accept both image and text inputs sets it apart from previous models, making it a truly multimodal model.

Case studies and results

Several case studies have been conducted to test the ability of GPT-4 by OpenAI to pass detection. Comparisons were made with previous models like GPT-3 and GPT-3.5, as well as ChatGPT.

The results are intriguing – GPT-4’s outputs are generally harder to detect compared to its predecessors. However, it’s important to note that has proven to be a highly accurate tool in detecting AI-generated content, with an average accuracy rate of 99.41%.

These case studies highlight the concerns surrounding GPT-4’s capability to trick AI content detection and plagiarism measures. While it may pose challenges for traditional methods of identifying AI-generated text, tools like remain industry-leading in their ability to detect and identify content generated by language models such as GPT-4, ensuring the authenticity and originality of textual content online is maintained.

Implications and Concerns of GPT-4 Passing Originality. ai Detection

The fact that GPT-4 can pass detection raises significant implications and concerns regarding the authenticity and originality of AI-generated content. With an accuracy of over 99%, has proven to be a leading tool in detecting AI-generated text, including outputs from GPT-4, GPT-3, GPT-3.5, and ChatGPT.

However, the challenge lies in the ability of GPT-4 to produce outputs that are harder to detect compared to previous models.

This poses a serious threat when it comes to plagiarism detection and content authenticity verification. The increased difficulty in identifying AI-generated text means that there is a higher risk of undetected plagiarism or content fraud.

This could have severe consequences for industries relying on accurate information, such as academia or journalism.

Moreover, the growing capabilities of AI language models like GPT-4 raise concerns about the potential misuse or manipulation of AI-generated content. As these models become more advanced at creative tasks and problem-solving, there is a need for stricter guidelines and regulations surrounding their usage.

In conclusion, while provides industry-leading detection accuracy for AI-generated content, the ability of GPT-4 to pass this detection has profound implications for plagiarism prevention and content authenticity verification.

Stricter measures should be taken to address these challenges and ensure the integrity of online information.


In conclusion, while GPT-4 by OpenAI is a powerful language model with improved capabilities compared to previous models, it still struggles to pass the detection of This highlights the ongoing challenges in AI content detection and raises concerns about the authenticity and originality of generated text.

As AI technology advances, it becomes crucial for tools like to continually evolve and improve their accuracy in detecting undetectable AI-generated content.


How effective is at detecting plagiarism from GPT 4? is specifically designed to detect plagiarism and ensure the originality of content. While GPT 4 may be a highly advanced language model, employs sophisticated algorithms and techniques to accurately detect any similarities or instances of plagiarism within text generated by AI systems like GPT 4.

What measures can be taken to ensure content generated by GPT 4 passes detection?

To ensure the content generated by GPT 4 passes detection, it’s recommended to review and edit the output for clarity, coherence, and originality before submitting it for evaluation. Additionally, implementing proper citation practices when referring to external sources or quotations will help establish the authenticity and originality of the content.

Is there a risk of unintentional plagiarism with text generated by GPT 4?

Yes, there is a possibility of unintentional plagiarism when using text generated by any AI system such as GPT 4. It’s crucial for users relying on such models to carefully review and verify all content produced before publishing or distributing it. This helps avoid any unintentional infringement on intellectual property rights while ensuring original thought and creativity in their work.

What other tools can or cannot pass Originality A.I. Detection: AISEO AI, Neuroflash, Quillbot, Wordtune, WordAI, Zimmwriter, Koala Writer, Neuronwriter, Nichesss, Kopify, Autoblogging AI, Texta, WordHero, Wordplay, Writecream, Katteb, Agility Writer, GetGenie, Sudowrite, SEO AI, ChatGPT, GPT-4, Copysmith, Paragraph AI, GrowthBar, Neural Text, Article Forge, Hypotenuse AI, Writerly, Writesonic, Chibi AI, Text Cortex AI, Textmetrics, Simplified, Scalenut, Rytr, Prowritingaid, Outwrite, Nyle AI, Outranking, NovelAI, Longshot AI, Narrato, Lex, Friday AI, Jasper AI, Copy AI, Anyword, Copymatic, Cognibypass, Stealth Writer, Rewriting Genius, Spinbot, Undetectable AI, Hyperwrite.
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