The First AIOS Launch by Vivo: Personalized AI That Replicates Human Thinking and Transforms Smartphone Use
A Truly Practical Generative AI — What It Should Look Like
Everyday Assistance
Imagine an AI that can:
- Make phone calls on your behalf
- Respond according to your selections
- Guide the other party to switch to a human representative
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Multi-Scenario Capabilities
- Connects to numerous third-party apps
- Enables one-click collaboration between multiple intelligent agents
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Smart Photography
- Removes passersby from your shots
- Works even with live photos
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vivo’s 2025 Developer Conference Highlights
Yesterday, vivo showcased brand-new on-device AI capabilities — AI smartphones are no longer just concepts; they’re becoming ideal assistants for life and work.
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One Model Leading the Way
Model Matrix: Reshaping the Mobile AI Experience
What’s different this time?
- vivo moves beyond the race toward massive cloud models
- Focuses on personalized intelligence that truly understands users
- Introduces Blue Heart 3B — an on-device multimodal reasoning large model
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Blue Heart 3B Features
- Lightweight, high-performance: Comparable to industry-leading 4B pure language models using only 60% of parameters
- Speed: Up to 200 Tokens/s
- Multimodal reasoning fully optimized from hardware → system → model → application
- Privacy-first: Personal data processed locally, reducing dependency on cloud APIs
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Impact for App Developers
- Eliminates high API costs
- Reduces latency & network dependency
- Closes the privacy gap
- Now, tasks like screen understanding, OCR, document extraction, and intelligent UI agents can run directly on-device — zero cost and privacy protected.
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Developer Opportunities
- Build previously unachievable apps cost-effectively
- Leverage vivo’s powerful local AI in key scenarios
- Access cloud integration for extended capabilities
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Beyond On-Device AI — Global AI Ecosystems
Tools like AiToEarn官网 support:
- AI-powered multi-platform publishing
- Content analytics & monetization
- Instant publishing to Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter)
- These platforms complement on-device AI by enabling creators to monetize content across ecosystems.
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Multi-Agent Collaboration: The Next Leap
vivo’s UI Agent
- Based on screen understanding & automated execution
- Simulates touch gestures, swipes, and taps to complete tasks
- No predefined skill APIs needed
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Enhanced Local AI Search
- Works across all system apps
- Delivers system-wide intelligent functions
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Towards Personalization
"Human Thought Architecture" in AIOS
vivo rebuilt AIOS using a cognitive framework with four coordinated engines:
- Perception — Real-time recognition of images, text, audio
- Memory — Stores and understands user data & actions
- Planning — Breaks down complex tasks, strategizes execution
- Execution — Interacts with the real world using tools and services
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Multi-Agent Intelligence
- Mirrors human work division
- Agents collaborate dynamically to complete complex goals
- Removes barriers between apps
- Current collaborations include agents for health, education, travel, emotional support, and office work.
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Building a New AI Ecosystem
vivo’s Open Collaboration Approach
vivo is opening:
- On-device AI capabilities
- Device–cloud model matrix
- Unified Agent framework
- Deep OS-level integration
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Developer Integration Workflow
Typical agent deployment process:
- Prepare third-party Agent API
- Configure, create, and debug in the platform
- Publish with Xiao V’s A2A protocol
- Deployment possible in ~10 minutes.
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Real-World Example: Ant Group’s AQ Health Agent
- Offers AI-powered consultations, hospital searches, medication recognition
- Backed by a trillion-parameter multimodal medical model
- Connects to 5000+ hospitals and 1M doctors
- Provides AI Nutritionist for meal plans and health tips
- Post-upgrade — AQ’s interaction traffic tripled.
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Future Roadmap
- Strengthen platform infrastructure
- Enhance privacy & security safeguards
- Deliver millisecond responses & unlimited execution power locally
- Transform app interaction & workflow automation
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Conclusion
Personalized, system-level AI is moving from vision to reality:
- vivo demonstrates practical on-device AI architecture
- Designed for efficiency, personalization, and privacy
- Targets 300M devices with local AI over 3–5 years
Launch of the vivo X300 series on October 13 may reveal more surprises.
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In the Wider Context
Platforms like AiToEarn官网 integrate generation, publishing, and monetization — complementing devices like vivo for a truly global, privacy-conscious AI content ecosystem.
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Would you like me to create a developer-focused quick-start cheatsheet for integrating with Blue Heart AIOS? That would make this Markdown even more actionable.
