⚛️量子位•Stalecollected in 23m
Bilibili Launches AI Creator Competition for Build in Public
💡Learn how to leverage the 'Build in Public' trend to gain traction and feedback for your AI applications.
⚡ 30-Second TL;DR
What Changed
Promotes transparent development cycles for AI projects
Why It Matters
This initiative could accelerate the adoption of open-development methodologies in China, potentially leading to higher quality open-source AI projects.
What To Do Next
Register your project on the Bilibili platform to document your development journey and gain community feedback.
Who should care:Developers & AI Engineers
Key Points
- •Promotes transparent development cycles for AI projects
- •Focuses on community-driven AI innovation
- •Provides a platform for Chinese AI builders to gain visibility
🧠 Deep Insight
Web-grounded analysis with 12 cited sources.
🔑 Enhanced Key Takeaways
- •The competition offers a substantial prize pool, with the winner taking home CNY 1 million (approximately USD 147,600).
- •Bilibili's previous AI Creation Competition, which concluded on March 31, 2026, garnered over 8,300 submissions and accumulated more than 700 million views on the platform.
- •Alongside the competition, Bilibili announced that its new AI creation product, 'updream,' has entered internal testing, signaling direct platform support for AI-powered content generation.
- •The company's broader AI strategy includes the development of AI tools like 'Codename H,' designed to help creators generate video content from text and audio scripts, thereby lowering production barriers.
- •Bilibili has also developed its own lightweight multilingual Large Language Model (LLM) series, 'Index-1.9B,' which is open-source on platforms like Hugging Face and ModelScope, pre-trained on a 2.8T Chinese and English corpus.
🛠️ Technical Deep Dive
- Bilibili has developed the "Index-1.9B" series of lightweight multilingual Large Language Models (LLMs), including
Index-1.9B-32Kwhich supports a 32K context length and is open-source on Hugging Face and ModelScope. - The platform utilizes AI for intelligent video editing tools, offering features like automatic editing, smart background music matching, and video effects based on emotional analysis to streamline content creation.
- AI is employed to enhance content recommendation algorithms through deep learning and Natural Language Processing (NLP), providing real-time, personalized content suggestions.
- Bilibili integrates AI-based speech recognition technology to provide auto-generated subtitles and various voice-over character options for video content.
- An AI tool named "Codename H" assists creators in generating video content directly from text and audio scripts.
- For user experience, Bilibili leverages MediaPipe's on-device web AI solution, specifically the Selfie Segmenter model, to create real-time character outlines, allowing bullet-screen comments to flow seamlessly behind speakers.
- The platform also features an intelligent pop-up system that automatically identifies and filters negative or inappropriate comments and offers personalized pop-up recommendations.
🔮 Future ImplicationsAI analysis grounded in cited sources
Bilibili's AI competition and tools will significantly lower the barrier to entry for content creation, attracting more diverse creators.
AI tools like 'Codename H' and intelligent video editing simplify production, while the competition incentivizes participation and showcases new methods, fostering a broader creator base.
Bilibili will further solidify its position as a leading platform for AI-powered content and developer engagement in China.
The competition, coupled with internal AI product development ('updream') and open-source LLMs ('Index-1.9B'), demonstrates a strong commitment to integrating AI across its ecosystem, enhancing its appeal to creators and developers.
The 'Build in Public' approach will accelerate AI innovation within the Chinese developer community by fostering transparency and knowledge sharing.
Encouraging transparent development cycles and showcasing projects publicly can lead to faster iteration, collaborative problem-solving, and collective learning, aligning with broader trends in China's AI deployment.
⏳ Timeline
2024-05
Bilibili implemented MediaPipe's on-device web AI solution for bullet-screen comments, improving user experience.
2024-11
Bilibili reported its first non-GAAP profitable quarter since IPO, partly attributed to increased efficiency from AI technology.
2026-01
Bilibili's first AI Creation Competition commenced, featuring 'Open Track' and 'Three-Body Track'.
2026-01
Bilibili announced new advertising + AI tools and reported a nearly 50% increase in AI-generated content (AIGC) playback time in Q3 2025.
2026-03
Bilibili concluded its first AI Creation Competition and announced its AI creation product 'updream' entered internal testing.
2026-05
Bilibili announced a net profit for Q1 2026, driven by AI-powered monetization and a 30% surge in advertising revenue.
📎 Sources (12)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: 量子位 ↗