Technical Proposal: Reducing YouTube Storage/Bandwidth via Hybrid AI Reconstruction (HAIVS)

Current streaming paradigms are bottlenecked by the "Pre-Rendered Storage" model. YouTube currently stores 10+ transcoded versions of every video to accommodate varied network conditions, leading to exabyte-scale storage bloat and massive server-side compute costs.
HAIVS (Hybrid AI-Driven Video Streaming) proposes a paradigm shift: moving from Pixel-Streaming to Neural-Reconstruction. By leveraging the Gemini Nano runtime on Android devices and a "Capacitor-Based" delivery model, we can reduce server-side storage by approximately 70% and user data consumption by 80%, while maintaining 4K fidelity.
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Видео Technical Proposal: Reducing YouTube Storage/Bandwidth via Hybrid AI Reconstruction (HAIVS) канала DecodeviaAI