Livepeer Re-poster
The World’s Open Video Infrastructure.
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For a large number of people, artificial intelligence models operate like an opaque machine where you simply provide an input and wait for a generated result. In reality, you have the ability to educate these systems using your personal images so they can grasp your specific artistic style. Having spent years exploring the generative AI space, @diegovchavez delivered one of the clearest breakdowns of this exact training process during the Scope workshop hosted by @DaydreamLiveAI:
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Someone brought an AI avatar to the Zoom call at the last watercooler.
You'll have to show up tomorrow 3pm ET to see what happens next.
See you there 👀
You'll have to show up tomorrow 3pm ET to see what happens next.
See you there 👀
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We can confirm that taking a break from centralized video infrastructure is highly recommended.
Have a break. Use Livepeer.
Have a break. Use Livepeer.
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Artificial intelligence operating in real time is the technology bringing the animated avatars of your favorite streamers to life. It is also the engine behind style-transferred concert visuals and digital characters that can interact and respond right in the middle of a broadcast. The creative entertainment sector is undergoing a complete reconstruction, yet this evolution relies heavily on underlying infrastructure capable of keeping pace. If these experiences do not happen instantaneously, they simply will not work.
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A circle moving on a screen → an AI cat looking around in real time.
It even caught its own reflection on the floor.
This is Scope + TouchDesigner running on Livepeer's network.
It even caught its own reflection on the floor.
This is Scope + TouchDesigner running on Livepeer's network.
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A more effective approach is available.
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I fully support this exact sentiment. Moving away from the traditional concept of simply watching content and towards the idea of actively inhabiting it completely shatters all of our established expectations regarding video infrastructure. I really appreciate this excellent observation made by @stuffyokodraws in the Big Ideas 2026 article published by @a16z.
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User Prompt:
Please develop a live broadcasting platform that integrates artificial intelligence visual enhancements on the fly. The application needs to apply real time modifications including digital avatars, customizable backgrounds, and artistic style transfers. It is crucial that everyday individuals can operate this system using a standard webcam, completely eliminating any requirement for costly, high end equipment.
Please develop a live broadcasting platform that integrates artificial intelligence visual enhancements on the fly. The application needs to apply real time modifications including digital avatars, customizable backgrounds, and artistic style transfers. It is crucial that everyday individuals can operate this system using a standard webcam, completely eliminating any requirement for costly, high end equipment.
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Video generation used to be offline.
Prompt → wait → get a clip
Now it's real-time.
🟢 DeepMind's Genie 3 generates navigable 3D worlds at 24 fps.
🟢 Runway's Gen-4.5 simulates physics.
🟢 NVIDIA's Cosmos hit 3M+ downloads because robotics companies need synthetic training environments that understand gravity.
Just so we’re on the same page about scale here, world models applications include
• Near-miss collision scenarios
• Pedestrian behaviors
• Construction zone configurations
• Emergency vehicle interactions
• Physical law modeling in physics
• Climate and weather predictions
• Medical procedure training
At some point the conversation stops being about who has the best model and switches to he who builds infrastructure that makes real-time AI video economically viable at scale.
Infra matters more than ever now
🫳
🎤
Prompt → wait → get a clip
Now it's real-time.
🟢 DeepMind's Genie 3 generates navigable 3D worlds at 24 fps.
🟢 Runway's Gen-4.5 simulates physics.
🟢 NVIDIA's Cosmos hit 3M+ downloads because robotics companies need synthetic training environments that understand gravity.
Just so we’re on the same page about scale here, world models applications include
• Near-miss collision scenarios
• Pedestrian behaviors
• Construction zone configurations
• Emergency vehicle interactions
• Physical law modeling in physics
• Climate and weather predictions
• Medical procedure training
At some point the conversation stops being about who has the best model and switches to he who builds infrastructure that makes real-time AI video economically viable at scale.
Infra matters more than ever now
🫳
🎤
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The technology behind real-time AI video is advancing at an incredible pace. If you are looking to join the conversation about these latest developments, the Watercooler is exactly where we gather to share our thoughts. Make sure to tune in and connect with us tomorrow at 3pm ET.
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Those who actively create and develop are already well aware of what is unfolding.
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When your GPU remains inactive, you are essentially passing up a great opportunity to generate additional income.
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When forecasting the landscape of AI in 2026, we can expect the primary operational bottleneck to transition away from the caliber of the models and toward the financial realities of the underlying infrastructure. Because always-on agents require uninterrupted inference capabilities, they inherently rely on continuous 24/7 GPU compute resources. Moving forward, the most successful infrastructure solutions will be those that accommodate spikes in demand by seamlessly expanding their supply, rather than simply driving up their prices.
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From the very beginning, the architecture of 6G networks has been explicitly designed to support real-time AI video. To make this a reality, developers are constructing a completely new wireless infrastructure focused on achieving sub-100ms latency. As our communication technology takes these massive leaps forward, it is absolutely essential that the compute layer advances at the same speed to meet these new performance demands.
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Here is your friendly weekly notice that the brightest minds specializing in real-time AI video gather at the Watercooler.
We invite you to join the discussion every Monday at 3 pm ET. Simply click below to enter the session.
We invite you to join the discussion every Monday at 3 pm ET. Simply click below to enter the session.
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Living the life of an Orchestrator offers a uniquely rewarding and refreshing experience.
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A recent insight from .@iab identifies the year 2026 as a pivotal milestone for AI-powered video functioning in real time. Delivering results instantaneously is the truly critical component of this evolution, which means moving entirely away from delayed methods like render queues or batch processing. Consequently, the competitive edge will inevitably belong to infrastructure foundations that are specially adapted to handle sustained, low-latency video workloads.
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You now have the ability to execute real-time AI workflows directly from your own laptop because Scope has officially made the use of GPUs completely optional. Alongside this fantastic update, we are thrilled to share that Cohort 3 is currently underway. Our team is already incredibly excited to witness the brilliant creations that will emerge from this new group.
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An impressive variety of organizations are currently managing enormous video pipelines. This extensive roster features major platforms and service providers including TikTok, YouTube, Instagram, Linkedin, Twitch, Netflix, Disney+, Hulu, Kick, ESPN, Amazon Live, Shopify Live, Runway, ElevenLabs, HeyGen, Adobe, and Descript.
The foundational architecture supporting these digital experiences is undergoing a significant transformation. Rather than being primarily limited by network bandwidth, video infrastructure is rapidly transitioning to become constrained by computational power.
As this industry shift towards compute bound operations continues, you are likely already aware of the provider equipped with the exact technology needed to handle the demand.
The foundational architecture supporting these digital experiences is undergoing a significant transformation. Rather than being primarily limited by network bandwidth, video infrastructure is rapidly transitioning to become constrained by computational power.
As this industry shift towards compute bound operations continues, you are likely already aware of the provider equipped with the exact technology needed to handle the demand.
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It is amazing to realize that we managed to construct the precise technology stack required for real-time AI video, achieving this feat well before the field was even established as a distinct category.
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