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AI Technology
May 27, 2025
11 min read

The Current Challenges in AI and Text-to-Video Technology: Why We're Starting with ShortReel

Artificial intelligence is revolutionizing every industry, and the text-to-video segment is no exception. But as exciting as this frontier is, there are still significant challenges that limit its immediate scalability.

AI Text-to-Video Technology

Artificial intelligence (AI) is revolutionizing every industry, and the text-to-video segment is no exception. The idea of transforming written prompts into vivid, dynamic videos holds immense promise for creatives and businesses alike. But as exciting as this frontier is, there are still significant challenges—both technological and regulatory—that limit its immediate scalability. At MYREELDREAM, we recognize these hurdles, which is why we are launching ShortReel first, with plans to expand into documentaries, films, and series when the ecosystem is ready.

Current Technological Challenges in Text-to-Video

Character Consistency Challenge
01

Consistency in Character Representation

One of the biggest hurdles in text-to-video generation is maintaining consistency in characters. For instance:

  • A character generated in Scene 1 might look slightly different in Scene 3 due to variations in AI models interpreting the prompt.
  • Facial expressions, clothing, and even character proportions can shift between scenes, breaking the immersion in longer videos.

This is a crucial issue for narrative-driven content like films or series, where consistent characters are vital for storytelling. While ShortReel videos are shorter in duration and focus on limited scenes, longer formats like documentaries and films require seamless character consistency.

02

Limited Video Duration

Current text-to-video tools, such as RunwayML or Luma Dream Machine, are excellent at generating short clips but struggle with longer durations. Creating a cohesive 10-minute documentary, let alone a full-length feature film, often exceeds the capabilities of these tools:

  • Memory and computational constraints often result in fragmented outputs for longer videos.
  • Scene transitions can often appear abrupt and disjointed, lacking the seamless flow needed for cohesive storytelling.

ShortReel capitalizes on these limitations by focusing on shorter, polished videos (20–50 seconds), which are well within the current capabilities of text-to-video technologies.

Limited Video Duration Challenge
Scene Dynamics Challenge
03

Lack of Scene Dynamics

Most AI-generated videos are still limited in their ability to produce complex, dynamic scenes. For example:

  • Action sequences or group interactions often appear stiff or unnatural.
  • Environmental interactions, such as characters walking into a forest or interacting with props, require advanced AI capabilities and often manual intervention.

ShortReel keeps the scope manageable by focusing on straightforward use cases like seasonal greetings or birthday messages. These involve simpler scenes that are well-suited to today's AI tools.

04

Matching Music, Tone, and Theme

While AI tools can generate or curate music, aligning it perfectly with video tone and transitions is still a challenge. Current text-to-video tools lack built-in capabilities to dynamically adjust music for different video sections (e.g., intro, climax, resolution).

At MYREELDREAM, we solve this through partnerships with curated music platforms like Audiosocket. For ShortReel, this ensures that the music complements the video length, tone, and theme.

Music Matching Challenge

Regulatory Challenges

Intellectual Property and Copyright Issues

Intellectual Property and Copyright Issues

AI-generated content raises complex questions about ownership. For example:

  • If an AI generates a character or scene, who owns the rights—the user, the developer, or the AI itself?
  • The use of copyrighted materials in AI training datasets can lead to legal disputes.

At MYREELDREAM, we address these issues by integrating blockchain technology. Each ShortReel video can be minted as a non-fungible token (NFT), providing verifiable proof of ownership to users, and preventing anyone from modifying your videos.

Data Privacy and Security Concerns

Data Privacy and Security Concerns

Large datasets required for AI training may contain sensitive personal data, leading to potential breaches or misuse.

  • How can we ensure user data is protected during AI model training?
  • Secure storage and ethical data handling policies are vital to gaining public trust.

Our platform uses encrypted data pipelines and decentralized networks to ensure user privacy at every step.

Ethical Concerns in AI Generated Content

Ethical Concerns in AI Generated Content

AI-generated media could be misused to create deepfakes or misleading content, raising ethical concerns.

  • What measures can prevent the malicious use of AI in content generation?
  • Transparent algorithms and AI moderation systems are essential to avoid misuse.

By embedding content moderation and ethics review tools, MYREELDREAM ensures responsible AI use in all video creations.

Why Start with ShortReel First?

Given these challenges, starting with ShortReel is a strategic decision. ShortReel allows us to:

1

Work Within Current Technological Capabilities

Short, personalized videos are achievable today with existing tools. They don't require the level of consistency or complexity needed for feature films or documentaries.

2

Build a Strong Foundation

ShortReel acts as a "prototype rocket," enabling us to test and refine our AI and blockchain integrations on a manageable scale. This foundation will support our future ventures into longer formats.

3

Mitigate Regulatory Risks

By starting small, we can ensure full compliance with data protection and copyright regulations before scaling to more complex projects.

4

Provide Immediate Value to Users

ShortReel offers users an innovative way to create personalized videos for birthdays, celebrations, or seasonal greetings. It's a practical use case that meets real-world needs today.

The Path Ahead: Documentaries, Films, and Series

Future Roadmap

As AI technology matures, we plan to expand beyond ShortReel

As AI technology matures, we plan to expand beyond ShortReel into documentaries, films, and series. Key milestones include:

Character Consistency

Leveraging advanced AI models to maintain character fidelity across scenes.

Dynamic Scene Generation

Enhancing tools to create complex, multi-character interactions and environments.

Script Automation

Integrating AI frameworks like "Save the Cat" to automate scriptwriting for various genres.

In parallel, we'll address regulatory developments, such as proposed legislation by Cynthia Lummis in the U.S., to ensure compliance with evolving standards.

Conclusion

The future of text-to-video is bright, but challenges remain. By starting with ShortReel, MYREELDREAM is strategically positioning itself to lead the next wave of AI-driven content creation. As technology and regulations catch up, we'll expand into ambitious projects like documentaries, movies, and series, bringing user stories to life on a grander scale.

Stay tuned—this is just the beginning of the MYREELDREAM journey.

Let's shape the future of filmmaking together!

Author

Written by

Dr. Elena Voss

Chief Technology Officer at MYREELDREAM

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