GIBO Holdings Ltd. announced a significant technological breakthrough in its proprietary AIGC (AI-Generated Content) multimodal engine, marking the transition into a next-generation intelligent content production architecture. The upgrade delivers structural improvements in generation efficiency, narrative consistency, large-scale batch production, and compute optimization, reinforcing GIBO’s position as a scalable AI content infrastructure provider.

This advancement represents more than a feature enhancement—it reflects a foundational redesign of the engine’s computational framework and algorithm orchestration layer, transforming the AIGC system from a creative tool into an industrial-grade production engine.

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Core Breakthrough: From Content Generation to Controlled Intelligence

The latest upgrade introduces three major technical innovations:

1. Unified Multimodal Computational Architecture

GIBO has restructured its orchestration logic across video, image, text, and audio generation modules, enabling a unified inference framework. This integration significantly enhances cross-modal coherence—improving logical alignment between scripts, characters, dialogue, and visual scenes while reducing generation drift.

2. Intelligent Compute Scheduling and Inference Optimization

Through proprietary inference compression algorithms and dynamic compute allocation models, the upgraded engine increases throughput under the same hardware conditions. In large-scale content production scenarios, this optimization substantially improves efficiency while lowering per-unit generation costs.

3. Structured Narrative Control Layer

A newly introduced structural narrative control system enables adjustable parameters such as pacing, emotional curve, tension density, and scene sequencing. This capability is particularly valuable for short dramas, advertising materials, and high-frequency performance-driven content formats.

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From Creative Tool to Industrial-Scale Production Engine

As the global short-form video and short-drama market shifts toward high-volume, rapid-iteration production cycles, traditional workflows face scalability limitations. GIBO’s enhanced AIGC engine is engineered to support industrial-level production requirements, including:

• Simultaneous generation of multi-version content for performance testing
• Automated structural optimization tailored to platform-specific distribution
• Parallelized, high-density content output
• Rapid multilingual localization and market adaptation

This transition establishes a more predictable, scalable, and controllable content creation infrastructure for platform partners and enterprise clients.

Strengthening Platform-Level Infrastructure

The upgraded AIGC engine will be fully integrated into GIBO Create and aligned with the broader GIBO Click ecosystem, creating a closed-loop system connecting content generation, analytics, and monetization frameworks.

By reinforcing the technological backbone of its content engine, GIBO continues building a durable AI-driven production infrastructure where creative output, performance metrics, and economic value are intelligently interconnected.

Long-Term R&D Commitment

GIBO stated that it will continue investing in multimodal model optimization, inference efficiency enhancement, and domain-specific AI model development to further improve controllability, precision, and production scalability.

This breakthrough not only elevates current product capabilities but also lays the foundation for large-scale deployment across short dramas, digital advertising, e-commerce content, and cross-media storytelling applications.