🔥 Newest Originality AI Update Thinks My 2005 Essays Are A.I. Generated

WordsAtScale
21 Feb 202404:25

TLDRIn this video, the host discusses the latest update of Originality AI, which claims to have improved its accuracy from 90% to 98%. To test this, the host scans various historical and personal documents, including the Declaration of Independence, Martin Luther King's 'I Have a Dream' speech, a radio script from 2005, and an essay from the same year. Surprisingly, the AI suggests that these documents are only partially original, implying that they might have been AI-generated. The host expresses skepticism about the AI's accuracy and recommends using Winston as a more reliable AI detector. The video ends with a call for viewers to form their own opinions on the matter.

Takeaways

  • 🔥 The speaker introduces the launch of Originality AI version 3, claiming it has been enhanced with AI and machine learning to improve its detection capabilities.
  • 📈 Originality AI's accuracy has improved from 90% to 98% according to the company's own tests, which involved analyzing hundreds of documents.
  • 🤔 The speaker expresses skepticism about the accuracy of Originality AI, suggesting that the industry might not find it as meaningful as the company claims.
  • 📜 The speaker tests the AI by scanning historical documents like the Declaration of Independence and Martin Luther King's 'I Have a Dream' speech, with surprising results.
  • 😮 The AI suggests that 47% of the Declaration of Independence could have been AI-generated, and Martin Luther King's speech had only a 50% originality score.
  • 🎓 The speaker's own work from 2005, a radio script, is also tested and scored at 53% originality, leading to further doubt about the AI's accuracy.
  • 📝 Another essay from the same period is tested and receives a similar score of 54% originality, raising questions about the reliability of the AI's assessments.
  • 🚫 The speaker advises against using Originality AI and recommends using Winston instead, based on their testing and perceived inaccuracy.
  • 🤔 The speaker finds the results preposterous and challenges the AI's ability to differentiate between human and AI-generated text.
  • 📈 Despite the improvements, the speaker's experience suggests that Originality AI may still have significant room for improvement in its detection algorithms.
  • 📢 The speaker ends with a call for feedback from the audience, inviting discussion on the validity and implications of the AI's findings.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the discussion of the newly launched Originality AI version 3.0 and its claims of improved accuracy in detecting AI-generated content.

  • What is the purpose of the new Originality AI version 3.0?

    -The purpose of the new Originality AI version 3.0 is to enhance the AI and machine learning technology to better detect AI-generated content and keep up with the evolving language models.

  • How much more accurate is the new version compared to the previous one?

    -The new version is reported to be 98% accurate, which is an improvement from the previous version's 90% accuracy.

  • What historical documents were tested with the new Originality AI version 3.0?

    -The Declaration of Independence from 1776 and Martin Luther King's 'I Have a Dream' speech from 1963 were tested.

  • What was the result of the test on the Declaration of Independence?

    -The test result showed that 47% of the content was not original, suggesting that it might have been AI-generated.

  • What was the result of the test on Martin Luther King's speech?

    -The test result indicated that only 50% of the speech was original, implying that King might have used AI-assistance tools.

  • What was the speaker's personal experience with the AI detector?

    -The speaker's 2005 radio script and essay were tested, with results showing only 53% and 54% originality, respectively.

  • What is the speaker's recommendation for an AI detector?

    -The speaker recommends using Winston instead of Originality, as they found it to be the most accurate and reliable AI detector in their testing.

  • What is the speaker's opinion on the results from Originality AI?

    -The speaker finds the results preposterous and questions the credibility of Originality AI's ability to differentiate between human and AI-generated text.

  • What is the significance of the AI detector's accuracy?

    -The significance of the AI detector's accuracy is that it can impact the credibility and trustworthiness of historical and contemporary works, as well as the reputation of their authors.

  • What is the potential impact of AI-generated content on the academic and professional world?

    -The potential impact includes the possibility of misattributing authorship, undermining the value of original human work, and creating a need for more sophisticated tools to detect AI involvement.

  • How does the video challenge the viewer's perception of AI-generated content?

    -The video challenges the viewer's perception by testing well-known historical documents and personal works, suggesting that AI-generated content might be more prevalent and sophisticated than commonly believed.

Outlines

00:00

🤖 Introduction to AI and Originality AI Version 3 Launch

The speaker begins by welcoming the audience to 'Words of Scale' and introduces a surprising claim about the existence of artificial intelligence dating back to the 1700s, which they've confirmed through testing. They then segue into an update about the launch of Originality AI version 3, emphasizing the hard work of the AI and machine learning teams to improve the technology. The speaker expresses excitement about the advancements and the importance of keeping their language model current. They compare version 2 with version 3, noting an increase in accuracy from 90% to 98%, and decide to test the new version with historical documents.

Mindmap

Keywords

💡Artificial Intelligence

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, the host discusses the evolution of AI, suggesting it has been a topic of interest since the 1700s, and uses it to analyze documents with Originality AI.

💡Originality AI

Originality AI is a tool designed to detect plagiarism and assess the originality of written works. The video highlights the launch of its version 3.0, which claims to have improved accuracy in detecting AI-generated content versus human-written content.

💡Machine Learning

Machine learning is a subset of AI that involves the use of data and algorithms to enable machines to learn from and make predictions or decisions without being explicitly programmed. The video mentions the role of machine learning in enhancing the capabilities of Originality AI.

💡Declaration of Independence

The Declaration of Independence is a historic document from the United States, declaring its independence from British rule in 1776. In the video, it is humorously suggested that 47% of the content might have been AI-generated according to Originality AI's assessment.

💡I Have a Dream Speech

The 'I Have a Dream' speech was delivered by Martin Luther King Jr. in 1963, advocating for civil and economic rights and an end to racism. The video playfully explores the idea that the speech might have been AI-assisted, which the host finds amusing and unlikely.

💡Accuracy

Accuracy in the context of the video refers to the ability of Originality AI to correctly identify whether a document is AI-generated or human-written. The host is skeptical about the 98% accuracy claim of the new version of the tool.

💡Radio Script

A radio script is a written document that serves as the text for a radio program or advertisement. The host's 2005 radio script is used as an example to test the Originality AI's ability to assess the originality of older works.

💡Plagiarism

Plagiarism is the act of using another person's work or ideas without giving proper credit. The video discusses the importance of Originality AI in detecting plagiarism, especially in academic and professional settings.

💡Language Model

A language model is a system in AI that is used to predict the probability of the occurrence of words or phrases in a language. The video suggests that Originality AI's new language model is crucial for its ability to assess document originality.

💡Winston

Winston is mentioned as an alternative tool to Originality AI for detecting AI-generated content. The host recommends it based on their testing, suggesting it is more accurate and reliable.

💡Perplexity

In the context of the video, perplexity refers to a measure used in computational linguistics to determine how well a probability distribution or model predicts a sample. The host uses a 'free prompt' within a tool called 'perplexity' to test the originality of a document.

Highlights

Artificial intelligence has been claimed to exist as early as the 1700s, 1960s, and 2000s.

The launch of Originality AI version 3 is announced, with enhancements in AI and machine learning technologies.

Originality AI's version 3 is said to have improved accuracy from 90% to 98%.

The Declaration of Independence from 1776 is analyzed and found to be 47% AI-generated.

Martin Luther King's 'I Have a Dream' speech is tested and found to be only 50% original.

A personal 2005 radio script is revealed to be only 53% original.

Another work from 2005, an essay, is found to be 54% original.

A free prompt used with perplexity is tested and found to be 42% regional.

The speaker advises against using Originality and suggests using Winston instead for AI detection.

Winston is claimed to be the most accurate AI detector differentiating between AI and human texts.

The speaker expresses skepticism about Originality AI's ability to accurately detect AI-generated content.

The video aims to provide a critical perspective on the reliability of Originality AI's latest version.

The test results of historical and personal documents are used to question the validity of Originality AI's findings.

The speaker humorously suggests that they should have been expelled in 2005 for their work being not original enough.

The video includes a direct address to Originality, expressing the hope that the feedback is found helpful.

The transcript highlights the importance of keeping AI models and testing up to date for accurate results.

The speaker shares their personal experience with Originality AI, adding a relatable aspect to the critique.

The video concludes with an invitation for viewers to share their thoughts on the matter.