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Published 2026-05-29

1 Minute of AI-Generated Thumbnail Editing Can Alter the Perception of a 2-Hour Movie

Paramount+ recently made headlines by using AI to edit a thumbnail for "Star Trek II: The Wrath of Khan", giving William Shatner a more sensible haircut in a closeup shot. This minor edit has sparked a discussion about the role of AI in media and how it can impact our perception of classic films. The edit, which took approximately 1 minute to generate, has been viewed by thousands of people, and it raises questions about the potential consequences of using AI in media editing.

Overview

The use of AI in media editing is not new, but the ease and accessibility of AI-generated content have increased significantly in recent years. The Paramount+ thumbnail edit is just one example of how AI can be used to alter the perception of a movie. The edit was made using a generative AI model, which can fill in missing details or alter existing ones to create a new image. This technology has the potential to be used in a variety of applications, from movie marketing to social media advertising.

Why It Matters

The use of AI in media editing matters because it can change the way we perceive and interact with movies. A thumbnail edit may seem like a minor change, but it can impact how people view a movie and what they expect from it. For example, if a thumbnail edit gives a character a different haircut or outfit, it can alter the viewer's perception of that character and their role in the movie. This can be particularly significant for classic films like "Star Trek II: The Wrath of Khan", which have a dedicated fan base and a established cultural significance.

How to Start

If you're interested in exploring the use of AI in media editing, there are several ways to get started. One approach is to use online tools and software that offer AI-generated content, such as image and video editors. These tools can be used to create a variety of content, from social media ads to movie trailers. Another approach is to learn about the different types of AI models that can be used for media editing, such as generative adversarial networks (GANs) and variational autoencoders (VAEs).

Common Pitfalls

When using AI in media editing, there are several common pitfalls to avoid. One of the most significant is the potential for over-reliance on AI-generated content. While AI can be a powerful tool for creating and editing content, it's essential to remember that it's not a replacement for human creativity and judgment. Another pitfall is the potential for AI-generated content to be misused or manipulated, such as creating deepfakes or spreading misinformation.

Recommendations

If you're looking to get started with AI-generated content, there are several product categories that can be helpful. These include:

By using these tools and being aware of the potential pitfalls, you can start exploring the use of AI in media editing and create your own AI-generated content.

Next step: Try using an AI-powered image editor to create your own AI-generated thumbnail for a movie or TV show. Experiment with different AI models and techniques to see what kind of results you can achieve.

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Sources & Context

Reporting and discussion this guide draws on:

> Todd Vaziri: "As spotted by Ryan Estrada on Bluesky, HOLY SHIT …" - Mastodon > Todd Vaziri: "As spotted by Ryan Estrada on Bluesky, HOLY SHIT …" - Mastodon

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