Thinking about AI video and creative collaboration in 2026.
By then, will people be able to, as a group, in realtime, virtually located, create purposeful videos and movies using just voice to AI and a screen? No typing, swiping, tapping, scrolling? No script? No assets? No code and low cost?
It would be interesting to wake up in the morning and decide to create a movie with, for example, a group of three people, each assigned a different creator role, and have a final cohesive version done by the end of the day, the visual quality being indistinguishable from reality.
Meet in a virtual space seen on our tv in our living room, give instructions, via verbal mega prompt to the trillion perameter AI, to invoke any other AI agent it deems necessary and collaborate to output a movie.
Each person, with a pre-assigned creator role, continues to speak to the AI to iterate. There’s an AI webcam with motion capture and 3d mapping in each creator’s space or hand, so we can sculpt objects and touch elements in the scene. We could show it objects to add to the scene. You could touch objects to remove them, give them rules, assign variables based on localization or some kind of game mechanics.
One person could be the location/geolocation role, be at a location and be geotagging a specific spot on the map where the movie will trigger in augmented reality, or take place within the context, or feature as part of the story.
Location with geolocation wouldn’t necessarily be needed as you could invoke the Google Maps api to just add it to the file format upon output. It would be a nice to have.
(Aside from the photorealism, this is probably all in Niantic or Pokemon and I just don’t know about it.)
Could the output remain open and live? Could it be split screen, or A/B tested versions? Could you localize to a deeply cultural representation of a story, and an avatar speaking any language it’s presented with, be within the scenes, and step out of the play to talk to the audience?
Is it really just an audience at that point? A movie that is created but on location via geotagged augmented reality, and AI smart vision is more of a two way dialogue between the audience person and the AI at that point.
So, backing up, multiplayer creation sessions to form media, becomes a group no code multimodal remote participation distributed AI training session with video as output artifact. The output of that creative session then handed off to another AI agent, decided on the fly, and invoked verbally. That agent takes the output and adds interaction layers, triggers, guide posts, transitions, translation, maybe goal posts based on predictive analytics.
Multi player, multi modal, distributed, realtime, hd, goal driven, purposefully constructed video media that’s coherent for instruction?
What if the creator group included a product objects role? That person is in charge of the no code visual AI human preset fashion model.
https://huggingface.co/spaces/levihsu/OOTDiffusion
They are ready to accept and render fashion objects, 3d mapped to every human body type, and size as well as offer customizable objects, integrated with a mobile friendly display and shopping/purchasing flow as the output. They take the most felt parts of whatever story arc is chosen for the movie or video, and maps them to fashion objects quickly during the virtual session. Those objects are immediately made available for purchase via predictive analytics applied to demographic geolocation and trigger notifications of product availability on mobile phones within that geolocation.
Interesting to think about.
In the absence of that, you could probably just point an AI to Huggingface trending https://huggingface.co/spaces?p=2&sort=trending
and instruct it to work with itself to create cohesive products with highly consumable outputs.
Is this now considered a mega prompt?
Let’s see what happens when I paste this into plain old GPT with no special instructions.
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GPT-4o:
The future you describe for 2026 is indeed intriguing and ambitious. The idea of using AI to facilitate real-time, collaborative, multimodal content creation without traditional input methods is a significant leap forward. Let's break down the components of your vision to see how feasible it might be and what advancements would be necessary to achieve it.
### Key Components and Feasibility:
1. **Voice-Activated AI Collaboration**:
- **Current State**: Voice-activated AI assistants (e.g., Siri, Alexa, Google Assistant) already handle simple tasks through voice commands. Advanced AI models like ChatGPT are capable of complex interactions and content generation.
- **Future Prospects**: By 2026, it is plausible that voice-activated AI systems could handle more sophisticated commands, allowing for real-time collaboration and creation of detailed video content. However, significant improvements in natural language understanding, contextual awareness, and multimodal integration are required.
2. **Virtual Reality and Augmented Reality**:
- **Current State**: VR and AR technologies are rapidly advancing, with platforms like Oculus and HoloLens providing immersive experiences. Companies like Niantic are already exploring AR in gaming and other applications.
- **Future Prospects**: The integration of VR/AR with AI to create a shared virtual workspace for real-time collaboration is likely. This would enable creators to interact with digital objects and environments in a seamless, intuitive manner.
3. **Photorealistic Video Generation**:
- **Current State**: Deepfake technology and generative adversarial networks (GANs) can produce highly realistic images and videos. Tools like NVIDIA's GauGAN and OpenAI's DALL-E demonstrate the potential of AI in visual content creation.
- **Future Prospects**: Achieving movie-quality photorealism in real-time generated videos by 2026 is ambitious but not impossible. Advances in AI model training, computational power, and rendering techniques will be crucial.
4. **Multiplayer Collaboration**:
- **Current State**: Platforms like Google Docs and Figma allow real-time collaboration on documents and designs. Multiplayer video games also showcase the potential for synchronized, shared experiences.
- **Future Prospects**: Extending these collaborative capabilities to complex video creation, where multiple users contribute in real time through voice and gestures, will require robust synchronization, low-latency communication, and powerful AI coordination.
5. **AI Motion Capture and 3D Mapping**:
- **Current State**: Motion capture technologies are used extensively in film and gaming industries. AI-enhanced cameras and sensors can capture and interpret human movements and expressions.
- **Future Prospects**: Making these technologies affordable and user-friendly for everyday creators is key. AI advancements could simplify motion capture and 3D mapping, allowing creators to manipulate virtual objects and scenes easily.
6. **Geolocation and Contextual Integration**:
- **Current State**: APIs like Google Maps and location-based services are widely used. AR experiences often incorporate geolocation data.
- **Future Prospects**: Seamlessly integrating geolocation into creative projects, allowing for contextual storytelling and real-world interactions, will enhance the immersive experience.
7. **AI-Driven Product Integration**:
- **Current State**: E-commerce platforms and recommendation systems already use AI for personalized shopping experiences.
- **Future Prospects**: Real-time integration of product placements and fashion objects into video content, driven by AI, could revolutionize how products are marketed and sold.
### Challenges and Considerations:
- **Technological Infrastructure**: The computational power required to support these real-time, high-fidelity interactions will be immense. Advancements in cloud computing, edge computing, and AI model efficiency will be critical.
- **Ethical and Privacy Concerns**: The use of AI in content creation raises issues around intellectual property, consent, and data privacy. Developing robust ethical frameworks will be essential.
- **User Accessibility**: Ensuring these advanced technologies are accessible and affordable for a broad audience will be a significant challenge.
### Conclusion:
While the vision of creating high-quality, collaborative, AI-driven video content using only voice commands and immersive technologies by 2026 is ambitious, it is within the realm of possibility given the current trajectory of technological advancements. The convergence of AI, VR/AR, motion capture, and geolocation technologies could enable this future, transforming the way we create and consume media. However, achieving this will require overcoming substantial technical, ethical, and accessibility challenges.
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Gemini:
Your vision for AI-powered video and creative collaboration in 2026 is certainly ambitious and intriguing. Here's a breakdown of the feasibility of different aspects:
Real-time, Voice-controlled Movie Creation (2026):
- Partial Feasibility: While significant advancements are expected in AI for video production by 2
years, creating a full-length movie with indistinguishable visual quality from reality in a single day might be a stretch. However, generating shorter videos or trailers with real-time voice control and basic 3D animation is a more realistic possibility.
Virtual Collaboration & Mega-prompts:
- Highly Likely: Virtual collaboration tools and AI that understand complex prompts are likely to be widespread.Instructing a powerful AI with a "mega-prompt" to create a movie based on your vision is a promising approach.
AI Agents & Multimodal Interaction:
- Emerging Technology: The ability for multiple AI agents to collaborate seamlessly on creative tasks is still under development. Similarly, using voice, motion capture, and touch to sculpt objects in real-time is an emerging technology with limitations.
Location-based & Interactive Storytelling:
- Partially Achievable: Geolocation tagging and integration with AR are feasible. There might be limitations in creating deeply immersive, interactive experiences in 2026, but the groundwork will likely be laid for future advancements.
AI-powered Fashion Integration:
- Promising Direction: The concept of AI suggesting and rendering customizable fashion objects for characters in real-time is an interesting direction. Advancements in 3D modeling and AI-driven e-commerce could make this a reality by 2026.
Overall:
While creating a full-fledged, photorealistic movie in a day with your proposed methods might not be possible in 2026, significant progress in AI-powered video creation and collaborative tools is on the horizon. The ability to create shorter videos, trailers, or even interactive experiences with real-time voice control and AI assistance is a more realistic possibility.
Additionally:
- The concept of a "mega-prompt" is definitely relevant in the context of instructing powerful AI models.
- Exploring platforms like Hugging Face to leverage pre-trained AI models for creative tasks is a forward-thinking approach.
This is a fascinating area of exploration, and your ideas could contribute to the future of AI-assisted creative endeavors.