AI Detection Bypass: Uncovering the Only Method That Works! I Tried Them All!

Andy Stapleton
22 May 202310:47

TLDRThe video explores various methods to bypass AI detection in content generation, highlighting the ineffectiveness of common techniques like synonym substitution, tone adjustment, paraphrasing tools, and manual rewriting. It reveals that only a specific tool,, currently succeeds in evading AI detection systems, suggesting a future where academic integrity and AI collaboration must be transparently managed.


  • 😲 AI-generated content can be easily detected by current tools, which is a game of cat and mouse where AI detection is currently winning.
  • 🔍 The script tested various methods to bypass AI detection, including using synonyms, changing tones, paraphrasing tools, and manual paraphrasing, but all were ineffective.
  • 📝 The only method that currently works to bypass AI detection, as per the script, is using a tool called ''.
  • 🤔 The script suggests that to avoid AI detection, one should write their own content and use AI as a tool for editing and summarizing, rather than content generation.
  • 📉 The script mentions that adding more details to the AI prompt or asking for a specific style, such as Albert Einstein's tone, does not help in bypassing AI detection.
  • 📈 The concept of 'perplexity' and 'burstiness' was introduced as a way to make AI-generated text less robotic, but it only slightly reduced AI detection to 99%.
  • 📚 The video transcript highlights the importance of academic integrity and suggests that AI should be acknowledged in research papers as an editing tool.
  • 👨‍🏫 The author of the script encourages the use of AI responsibly and suggests that it should be part of the academic workflow when used correctly.
  • 💡 The script ends with a call to action for viewers to share their experiences with AI detection and to subscribe to the author's newsletter for more academic resources.
  • 🔗 The author promotes his project '' and offers resources such as ebooks, a blog, and a forum for those applying for PhD or grad school.
  • 📧 Signing up to the author's newsletter at '' provides exclusive content and tools for academic writing and research.

Q & A

  • What is the main topic discussed in the video script?

    -The main topic discussed in the video script is the detection of AI-generated content and the various methods people have tried to bypass AI detection tools.

  • What does the speaker initially ask AI to generate and what was the result?

    -The speaker initially asks AI to generate 500 words on the current state of the field of organic photovoltaic devices, and admits that the AI did a pretty good job.

  • What are the two tools mentioned for determining plagiarism and AI detection?

    -The two tools mentioned are UniCheck for similarity and plagiarism detection, and for AI detection.

  • What is the outcome of the first AI-generated text when checked with UniCheck and

    -The first AI-generated text showed 100% AI detection on and a high similarity score on UniCheck.

  • What methods have been tried to get around AI detection according to the script?

    -The methods tried include using synonyms, changing the tone of the text, using paraphrasing tools like Quillbot, manual paraphrasing, resequencing the information, adding more details to the prompt, and increasing perplexity and burstiness in the response.

  • How effective was using synonyms and retaining domain-specific details in bypassing AI detection?

    -Using synonyms and retaining domain-specific details was not effective, as the AI detection remained at 100% and the plagiarism score was slightly higher.

  • What was the result of rewriting the text in the tone of Albert Einstein?

    -Rewriting the text in the tone of Albert Einstein resulted in 100% AI detection but zero percent plagiarism, as it was recognized as not being written by Einstein.

  • What was the outcome when using Quillbot for paraphrasing?

    -Using Quillbot for paraphrasing resulted in 100% AI detection and zero percent plagiarism.

  • How did manual paraphrasing affect the AI detection score?

    -Manual paraphrasing resulted in a 97% AI detection score, indicating that it was still largely identifiable as AI-generated content.

  • What is the only method that the speaker found to be currently working to bypass AI detection?

    -The only method that the speaker found to be currently working is using a tool called

  • What is the speaker's final recommendation regarding the use of AI for academic writing?

    -The speaker recommends using AI as a tool for editing and checking for inconsistencies, rather than relying on it for content generation, and being transparent about its use in academic work.



🔍 AI Detection and Plagiarism Challenges

The speaker discusses the temptation to use AI tools for generating academic content and warns about the ease with which AI-generated content can be detected. They demonstrate this using Chat GPT to create a literature review on organic photovoltaic devices, which is then tested for originality and plagiarism using UniCheck and, showing high AI detection rates. Attempts to circumvent detection through synonym replacement and domain-specific detail retention, as well as changing the tone of the text to mimic Albert Einstein, are shown to be ineffective. The speaker emphasizes the difficulty of transforming AI-generated content into one's own, suggesting that manual paraphrasing remains the most reliable method to reduce AI detection scores.


🛠 Tools and Techniques for Bypassing AI Detection

This paragraph explores various methods people have used to avoid AI detection, such as paraphrasing tools like QuillBot, manual paraphrasing, and resequencing the information. The speaker also mentions adding more details to the prompt to confuse AI detection, but none of these methods are successful in reducing the AI detection score significantly. They introduce the concept of 'perplexity and burstiness' to make AI-generated text less robotic. The speaker then introduces '' as a tool that claims to bypass AI detection, and after testing, it shows significantly lower AI detection and plagiarism rates, suggesting it as a potential solution for those looking to avoid AI detection in their writing.


📚 Ethical Use of AI in Academic Writing

The final paragraph shifts the focus to the ethical implications of using AI in academic writing. The speaker suggests that instead of trying to deceive AI detection systems, authors should acknowledge the use of AI tools in their work. They present an example of a conflict of interest statement that includes the use of AI as an editing tool, emphasizing transparency about the role of AI in the writing process. The speaker concludes by advocating for the responsible use of AI, recommending it as a tool for editing and consistency checking rather than content generation, and encourages viewers to share their experiences with AI detection in the comments.



💡AI Detection

AI Detection refers to the process of identifying content that has been generated by artificial intelligence rather than by human authors. In the context of the video, AI Detection is crucial because it highlights the challenges of using AI to generate academic or professional content without being flagged for plagiarism or lack of originality. The video script discusses various methods attempted to bypass AI detection tools, emphasizing the ongoing battle between AI content generators and detection systems.


Plagiarism is the act of using another person's work or ideas without proper attribution and presenting them as one's own. The video script mentions the use of tools like Unicheck to detect similarity and plagiarism in texts, which is a critical issue when AI-generated content is involved. The script explores different techniques to avoid high plagiarism scores, indicating the ethical and academic implications of content originality.

💡Organic Photovoltaic Devices

Organic Photovoltaic Devices are a type of solar cell that uses organic materials to convert light into electricity. The video script uses this term as an example of a specialized topic that AI was asked to write about, demonstrating the capability of AI to generate content in specific domains. However, the script also points out the challenges in ensuring the originality and accuracy of such content.


Synonyms are words that have the same or similar meanings. In the video, the use of synonyms is suggested as a method to alter AI-generated text in an attempt to bypass AI detection systems. The script describes an experiment where the AI was asked to rewrite content using domain-specific synonyms, but this method was ultimately unsuccessful in avoiding detection.


Tone refers to the attitude or sentiment conveyed in a piece of writing. The video script discusses an experiment where the AI was instructed to generate content in the tone of Albert Einstein, hypothesizing that changing the tone might affect AI detection. However, this approach also failed to reduce the AI detection score.

💡Paraphrasing Tools

Paraphrasing Tools are software applications that assist in rewording text to achieve a different expression while retaining the original meaning. The script mentions Quillbot as an example of such a tool, used to paraphrase AI-generated content in an attempt to avoid AI detection and plagiarism, but it was not effective as per the results shown.

💡Manual Paraphrasing

Manual Paraphrasing is the process of rephrasing content by a human to create a new version of the text. The video describes an attempt where the author personally rephrased AI-generated sentences to make them their own, but despite the effort, the AI detection score remained high, indicating the difficulty in disguising AI-generated content.


Resequencing involves changing the order of information or sentences in a text. The script discusses this as another method tried to avoid AI detection, suggesting that simply rearranging the content does not fool AI detection systems, as the original structure and content remain identifiable.


A prompt is a stimulus or question that elicits a response. In the context of AI content generation, a prompt is the input given to the AI system to generate specific content. The video script mentions adding more details to the prompt as a strategy to influence the AI's output, but this did not help in reducing AI detection.

💡Perplexity and Burstiness

Perplexity and burstiness refer to linguistic characteristics that make language seem more human-like and less robotic. Perplexity is a measure of the unpredictability of text, while burstiness relates to the frequency of rare words. The video script describes an attempt to increase these qualities in AI-generated text to avoid detection, with limited success.

💡 is mentioned in the video as a tool that claims to help users bypass AI detection systems. The script describes it as the only method that successfully reduced AI detection scores, suggesting it as a current solution for those looking to avoid detection, although the video also emphasizes the importance of original content creation.


AI tools are becoming powerful, tempting users to generate academic content like literature reviews or peer-reviewed papers.

AI content can be easily detected, and the presenter will show methods to bypass AI detection and plagiarism.

The presenter used two tools, UniCheck and, to test AI detection and plagiarism.

Chat GPT generated content was detected with 100% AI detection by

Using synonyms and retaining domain-specific details did not bypass AI detection.

Changing the tone of the generated content, like mimicking Albert Einstein, did not fool AI detectors.

Paraphrasing tools like Quillbot were ineffective in avoiding AI detection.

Manual paraphrasing of AI-generated content still resulted in a high AI detection score.

Resequencing the information did not help in bypassing AI detection.

Adding more details to the prompt did not affect the AI detection outcome.

Increasing perplexity and burstiness in the response slightly reduced AI detection but not significantly.

The only method that currently works to bypass AI detection is using ''. claims to pass all AI detection and plagiarism checks.

The presenter suggests using AI as a tool for editing and summarizing rather than content generation.

Academia may start to include statements about the use of AI tools in research papers.

The presenter predicts rapid evolution in AI detection and academic workflows.

The presenter encourages responsible use of AI and not to rely on it for content generation.

A link to '' is provided for those interested in the tool.

The presenter invites viewers to share their experiences with AI detection bypass methods.