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

Andy Stapleton
22 May 202310:47

TLDRThe video transcript discusses the challenges of using AI-generated content in academic writing and the limitations of various methods to bypass AI detection tools. The speaker tests different strategies, including using synonyms, changing the tone, paraphrasing with tools like Quillbot, manual paraphrasing, and increasing perplexity and burstiness in the text. However, all attempts except for using a tool called '' result in high AI detection scores. The speaker emphasizes the importance of original writing and suggests that AI should be used as an editing tool rather than for content generation. They also mention the increasing trend of authors disclosing the use of AI models in their work, which they believe will become more common in academic publications.


  • ๐Ÿšซ **AI Detection Awareness**: The use of AI to generate academic content can be easily detected, and it's crucial to be aware of the risks involved.
  • ๐Ÿ” **Detection Tools**: Tools like Unicheck and are effective in detecting AI-generated content, even when the text is paraphrased or altered.
  • ๐Ÿ“‰ **Synonyms Fail**: Using synonyms and retaining domain-specific details does not fool AI detection systems; the detection rates remain high.
  • ๐ŸŽญ **Tone Adjustment**: Changing the tone of the text, even to mimic famous individuals like Albert Einstein, does not help in bypassing AI detection.
  • ๐Ÿ”ง **Paraphrasing Tools**: Using tools like Quillbot for paraphrasing also fails to reduce AI detection rates significantly.
  • โœ๏ธ **Manual Paraphrasing**: Manually rephrasing the text to make it one's own can reduce, but not eliminate, the AI detection score.
  • ๐Ÿ”„ **Resequencing**: Simply changing the order of paragraphs or sentences does not help in avoiding AI detection.
  • ๐Ÿ“ **Detailed Prompts**: Including more details in the AI prompt does not prevent the content from being flagged by plagiarism and AI detection tools.
  • ๐Ÿ’ก **Human-like Language**: Increasing perplexity and burstiness in the text can slightly reduce AI detection rates but is not a foolproof method.
  • ๐Ÿ› ๏ธ ****: The use of specific tools like can help in reducing AI detection to a certain extent, but it's not a guaranteed solution.
  • โœ… **Transparent Use of AI**: Being transparent about the use of AI tools in academic work, such as including a statement about the use of AI for editing, is becoming more accepted.

Q & A

  • What is the main concern discussed in the transcript regarding the use of AI in generating academic content?

    -The main concern is the ease with which AI-generated content can be detected by plagiarism and AI detection tools, which poses a challenge for those who might be tempted to use AI to generate academic texts.

  • What is the first method the speaker tried to bypass AI detection and what was the result?

    -The first method was using synonyms and retaining domain-specific details. However, when tested with Unicheck and Originality, the result was still a 100% AI detection rate.

  • How effective was changing the tone of the AI-generated text to that of Albert Einstein in avoiding AI detection?

    -Changing the tone to Albert Einstein resulted in 100% AI detection and zero percent plagiarism. The method was ineffective for bypassing AI detection.

  • What was the outcome when the speaker used a paraphrasing tool like Quillbot on the AI-generated text?

    -Even after using Quillbot and adjusting the text paragraph by paragraph, the AI detection rate remained at 100% and plagiarism was zero percent, indicating that paraphrasing tools were not effective in bypassing AI detection.

  • What was the speaker's experience with manual paraphrasing of the AI-generated text?

    -After manually paraphrasing the text to reflect the speaker's own writing style while retaining the original meaning, the AI score was still high at 97%, showing that manual paraphrasing did not significantly help in avoiding AI detection.

  • What was the result when the speaker tried resequencing the information in the AI-generated text?

    -Resequencing the paragraphs and sentences did not work in reducing the AI detection rate, which remained at 100%.

  • How did including more details in the prompt affect the AI detection rate?

    -Adding more details and specific references in the prompt did not help in reducing the AI detection rate, which remained at 100%.

  • What is the one method that the speaker found to be effective in bypassing AI detection?

    -The only method that worked was using a tool called '', which significantly reduced the AI detection rate to 29% and plagiarism to 2.19%.

  • What is the speaker's stance on using AI tools for academic writing?


  • What is the 'LLM statement' mentioned in the transcript and why is it significant?

    -The 'LLM statement' is a disclosure at the end of academic papers acknowledging the use of AI tools like GPT4 for editing purposes. It is significant because it promotes transparency and honesty about the use of AI in academic writing.

  • What are the speaker's final thoughts on the rapid evolution of AI detection tools?

    -The speaker acknowledges that the field is evolving quickly and that current methods for bypassing AI detection, like '', may not be effective in the future. They encourage using AI responsibly and focusing on original content creation.

  • What additional resources does the speaker provide for those interested in academic writing and research?

    -The speaker provides resources such as two e-books ('The Ultimate Academic Writing Toolkit' and 'The PhD Survival Guide'), a blog, a forum, and a resource pack for those applying for a PhD or grad school, all accessible via and



๐Ÿšซ Avoiding AI-Generated Plagiarism

The paragraph discusses the temptation to use AI tools for generating text for academic papers and the risks of AI-generated content being easily detected. The speaker demonstrates various methods people have used to evade AI detection, such as using synonyms, changing the tone, and manual paraphrasing, but finds these methods ineffective. The only successful method presented is using a tool called 'undetectable dot AI,' which claims to bypass AI detection systems. The paragraph emphasizes the importance of original writing and using AI as an editing tool rather than a content generator.


๐Ÿ” AI Detection Tools and Their Effectiveness

This paragraph explores the effectiveness of AI detection tools and the futility of trying to deceive them with more detailed prompts or increased perplexity and burstiness in language. The speaker tests various techniques, including using a tool called 'undetectable dot AI,' which shows promise with a significantly lower AI detection score. The paragraph also touches on the ethical considerations of AI use in academic writing and the potential for transparency about AI tool usage in publications.


๐Ÿ“š Additional Resources for Academic Writing

The final paragraph shifts focus to the speaker's project, ',' where they offer resources such as eBooks, a blog, a forum, and a resource pack for those applying for a PhD or grad school. The speaker also encourages signing up for their newsletter at '' for exclusive content, including tools, podcast appearances, and writing tips.



๐Ÿ’กAI Detection

AI Detection refers to the process of identifying content generated by artificial intelligence (AI) tools. In the video, the speaker discusses various methods to bypass AI detection systems, which are crucial for maintaining the integrity of academic and professional writing. The theme revolves around the challenges and ethics of using AI to generate content and the effectiveness of different strategies to avoid detection.


Plagiarism is the act of using someone else's work or ideas without giving proper credit, which is considered unethical and can lead to serious consequences in academic and professional settings. The video script mentions the use of tools to check for plagiarism, emphasizing the importance of originality in writing and the problems that arise when AI-generated content is used without proper attribution.

๐Ÿ’กOrganic Photovoltaic Devices

Organic Photovoltaic (OPV) Devices are a type of solar cell that uses organic molecules to convert light into electricity. The video script uses this as an example topic for which AI was asked to generate content, highlighting the potential for AI to produce seemingly knowledgeable text on complex subjects.


Synonyms are words that have the same or nearly the same meaning as another word in the same language. In the context of the video, the speaker explores the use of synonyms as a method to alter AI-generated text in an attempt to evade AI detection, suggesting that simply swapping words may not be sufficient to make the content appear original.


Tone refers to the author's attitude towards the subject or audience, which can be conveyed through the style and wording of the text. The video discusses the idea of changing the tone of AI-generated text, such as mimicking the tone of Albert Einstein, as a strategy to potentially confuse AI detection systems.

๐Ÿ’กParaphrasing Tools

Paraphrasing Tools are software applications that rephrase or reword text to achieve a different expression while retaining the original meaning. The script mentions Quill Bot as an example of such a tool, which was used to alter AI-generated text but still resulted in high AI detection rates, indicating the limitations of this method.

๐Ÿ’กManual Paraphrasing

Manual Paraphrasing involves a person going through the text and rewording it to make it unique while keeping the original meaning. The speaker in the video tried this method by adjusting the sentences to their own writing style, yet the AI detection score remained high, demonstrating the difficulty of making AI-generated content undetectable.


Resequencing is the process of changing the order of information in a text without altering the content itself. The video script discusses this technique as a potential way to avoid AI detection, but the results showed that simply changing the order of paragraphs or sentences was not effective.


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

๐Ÿ’กPerplexity and Burstiness

Perplexity and burstiness refer to characteristics of human language that make it less robotic and more natural. Perplexity is a measure of how much a language model is uncertain about the next word in a sequence, while burstiness is related to the frequency of repeated words or phrases. The video explores the idea of increasing these qualities in AI-generated text to make it appear more human-like and potentially avoid detection.

๐Ÿ’ก is mentioned in the video as a tool that claims to help users bypass AI detection systems. The speaker discusses its use and the results of testing it, finding it to be the only method that currently works to some extent, although it is not recommended to rely on such tools for ethical and academic integrity reasons.


AI tools are becoming more powerful, tempting users to generate academic content, but caution is advised due to the risk of AI detection.

Current AI detection tools are effective at identifying AI-generated content, with older methods no longer effective.

The use of synonyms and domain-specific details does not successfully bypass AI detection, as shown by high detection rates.

Changing the tone of AI-generated text, even to mimic Albert Einstein, does not reduce AI detection rates.

Paraphrasing tools like Quillbot, when used on AI-generated text, still result in high AI detection rates.

Manual paraphrasing of AI-generated content can reduce, but not eliminate, AI detection, as evidenced by a 97% AI score.

Resequencing the information in AI-generated content does not help in avoiding detection by AI detection tools.

Adding more details to the AI prompt does not assist in reducing AI detection rates, contrary to some suggestions.

Increasing perplexity and burstiness in AI-generated text slightly reduces AI detection but is not a foolproof method. is presented as the only tool that currently works to bypass AI detection, with a significantly lower AI detection rate.

The use of AI as an editing tool is becoming more accepted in academic workflows, with transparency about its use.

Author suggests that AI should be used as a tool for editing and summarizing, rather than content generation.

The importance of original content creation is emphasized, with AI tools serving as aids rather than replacements for human writing.

The rapid evolution of AI tools is expected to continue, with potential changes to how they are used and detected in the future.

The author provides resources for academic writing and survival guides, suggesting the use of AI in a supportive, non-generative role.

The video concludes with a reminder of the ethical considerations and the importance of using AI responsibly in academic work.