video-rating-party

Main takeaways from this article:

  • Midjourney is hosting a video rating party to gather user feedback on AI-generated videos, which are intentionally low-quality to aid learning.
  • Participants compare two videos at a time, focusing on quality and realism rather than humor or flaws.
  • This community-driven approach aims to improve AI video generation by incorporating user preferences into the development process.
Good morning. This is Haru. Today is June 18, 2025—on this day in history, the first American woman ventured into space, a quiet reminder of how exploration often begins with small steps; now, let’s take a look at how Midjourney is inviting users into its next frontier.

Introduction to Midjourney

If you’ve ever played around with AI-generated images, chances are you’ve heard of Midjourney. Known for its visually stunning image outputs, Midjourney has become a go-to tool for artists, designers, and curious tech enthusiasts alike. Recently, the company made headlines again—not for releasing a new version of its model just yet, but for inviting users to participate in what they call a “video rating party.” It might sound like a casual event, but there’s actually some serious development work happening behind the scenes.

What is the Video Rating Party?

So what exactly is this video rating party? In short, Midjourney has been experimenting with generating videos using AI. These aren’t polished final products—in fact, many of them are intentionally low-quality or broken. The goal here isn’t to impress viewers right away but to gather valuable feedback from real people. By asking users to compare two videos at a time and choose which one looks better or more accurate, Midjourney is training its algorithm to better understand human preferences. Interestingly, the company even encourages people not to pick videos that are simply funny or bizarre if they’re clearly flawed. This helps ensure that the feedback focuses on improving quality and realism over time.

The Unique Approach of Community Engagement

What makes this approach unique is how open the process is. Instead of quietly refining their model behind closed doors, Midjourney is involving its community in shaping what comes next. They’ve even acknowledged that these early-stage videos are far from perfect—and that’s by design. Giving the AI more freedom to make mistakes actually helps it learn a wider range of visual styles and user expectations. It’s a bit like letting a child explore different ways of drawing before teaching them how to color inside the lines.

Building on Past Experiences

This isn’t the first time Midjourney has leaned on community input. Back in 2023, they held similar events when testing updates to their image generation models. That strategy seemed to pay off: each new version showed noticeable improvements in both creativity and accuracy. The current video project feels like a natural extension of that same philosophy—building better tools by listening closely to how people respond to them. While moving from still images to moving visuals is a big leap technically, the underlying idea remains consistent: learning through collaboration.

The Future of AI-Generated Videos

At the same time, this shift toward video also hints at where Midjourney might be heading next. As more companies explore AI-generated video content—from short clips to full animations—it’s clear that this area holds exciting potential but also complex challenges. For Midjourney, starting with rough drafts and honest feedback may be their way of laying a strong foundation before launching anything officially.

Conclusion: A Step Forward in AI Development

In the end, while these experimental videos may not look impressive yet, they represent an important step in AI development—one that values user experience as much as technical progress. For those of us watching from the sidelines (or maybe even participating in the rating), it’s interesting to see how companies like Midjourney are navigating this evolving space. Whether you’re an artist curious about new tools or just someone fascinated by where AI is going next, keeping an eye on these early experiments can offer some useful insights into what might be coming down the road.

As these early steps unfold, it’s a quiet reminder that even in tech, progress often begins with listening and a bit of patience.

Term Explanations

Algorithm: An algorithm is a set of rules or instructions that a computer follows to solve a problem or complete a task. In the context of AI, it helps the system learn from data and make decisions based on that learning.

Community Engagement: Community engagement refers to the process of involving people in discussions and activities that affect them. In this case, it means getting users to participate in rating videos to help improve the AI’s performance.

NSFW: NSFW stands for “Not Safe For Work.” It is used to label content that may be inappropriate for a work environment, such as explicit or adult material.

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