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Mr. Incredible Becoming Uncanny

The Mr. Incredible Uncanny meme started with the character Mr. Incredible from the Pixar movie in multiple phases, progressing from a normal smiling face to different levels of distorted and darkened versions of his face. The meme originated on YouTube in 2021, when creators started to use it to reference worsening stages of a situation. The meme connects with the social media trends of surreal or horror effects with humor. A lot of people liked the idea of this meme, with some of them making extended phases and remakes of the original meme.

Meme analytics

  • Image: The image of the meme consists of Mr. Incredible cartoon character smiling.
  • Distorted Progression: The image of Mr. Incredible starts to distort progressively ranking situations, depending on a positive or negative progression. In the first picture on the right side, you can identify the multiple variations of the progression. The first two lines rank situations from smiling to worsening, showing Mr. Incredible darkening progressively. The last two lines rank the smiling face neutral image as the best possibility using colorful positive images.
  • Sound Effects: The meme varies its sound for each stage of the progression. Originally, the first stages included good-vibing songs showing highlighting humor and positivity. After the picture starts to distort, the rhythm of the music varies, escalating the severity of the darkness using eerie or disturbing sounds.
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    Appropriate use of Large Language Model (LLM)

    Large Language Models (LLM) are machines designed to generate texts using programmed systems. Electracy is linked with these machines due to the involvement of the digital world in assisting with human needs. LLMs like Chatgpt are often used as tools to facilitate information, generate ideas, and make human life "easier." LLMs' responsibly is essential for maximizing their potential while avoiding misuse or overreliance. These tools are incredibly helpful for tasks like research, writing assistance, and problem-solving, but they should complement, not replace, critical thinking and creativity.

    Studies show that while 85% of users report increased productivity when using AI tools, over-reliance can lead to skill stagnation in areas like writing and analytical thinking. It’s also important to verify the information provided by LLMs since they occasionally produce errors or outdated facts. In addition, other considerations come into play that using LLMs for cheating on assignments or spreading misinformation can have serious consequences. By leveraging LLMs as supportive tools and combining their outputs with personal effort and judgment, users can achieve better results while still developing their own skills.

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