# **Intelligence Report — Co-Sight 2.0 Leads Global AI Rankings**
**Shanghai, 2025-10-14 23:04**
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## **Overview**
At the **Hangzhou Olympic Sports Center** concert, an AI system called **Co-Sight 2.0** maintained stable network performance — entirely autonomously.
Developed by **ZTE Corporation**, this super-intelligent agent has recently ranked **No.1** on the **Hugging Face GAIA global authority leaderboard**.
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## **Concert Deployment**
- Venue: Tens of thousands of smartphone screens generated intense network load.
- Operation: No team of stressed engineers — only AI orchestrating the system.
- Automation:
- **Traffic surge prediction**
- **Pre-planned network rerouting**
- **Action Agent** executes changes
- **Verification Agent** ensures correctness
This was not science fiction — it happened in **real life**.
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## **Global Achievement: Hugging Face GAIA**
### **Why Co-Sight 2.0 Is No.1**
- Scored **87.04%** on GAIA benchmark (by Meta & Hugging Face)
- Benchmarked on **12 core abilities**: complex task planning, cross-tool invocation, and multimodal understanding
- Solved **three core pain points** of traditional intelligent agents
**Real-world impact:**
- Hangzhou concert: **30% fewer monitoring staff** needed
- Xi’an Datang Everbright City: **20% higher traffic capacity**
- Won **2025 GSMA Network Efficiency & Optimization Award**
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## **From Pain Points to Breakthrough**
### **Industry Challenges**
- **Private domain gaps** hinder deployment in vertical industries
- **Low information utilization** due to inefficient data retrieval
- **Flat memory structures** cause "cognitive shortsightedness"
- **AI black-box decisions** erode trust
### **Co-Sight 2.0 Solutions**
- Deployable and verifiable architectures
- Fully addresses core shortcomings of legacy AI
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## **End-to-End Trusted Computing Framework**
In telecom operations, Co-Sight 2.0 establishes a **Five-Level Trusted Information Pyramid**, stamping each data-handling step with confidence.
### **Architecture Layers**
1. **Multi-source heterogeneous perception**: Integrates SNMP, Syslog, video, code data sources.
2. **Atomic fact extraction**: Converts unstructured logs into structured, mappable events.
3. **Authoritative knowledge verification**: Cross-checks with CMDB and vendor docs.
4. **Logical consistency reasoning**: Builds event correlation graphs and validates them.
5. **Trusted decision generation**: Filters high-confidence data to avoid “garbage in, garbage out.”
**Breakthrough:** Transforms implicit knowledge into machine-usable facts, breaks data silos, and enables cross-domain tracing for reliable decisions.
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## **Twin Reasoning Engine**
Addresses flaws in traditional AI reasoning — **recklessness**, **inefficiency**, and **lack of expertise**.
### **Key Solutions**
1. **Deep Thinking Prediction**: Multi-path simulations to find low-risk plans before execution.
2. **DAG Parallel Thinking**: Breaks complex workflows into parallel subtasks for speed and robustness.
3. **Multi-Agent Subspaces**: Divides work between Planning and Action Agents for higher precision.
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## **AI Tool Evolution Engine**
### **Capabilities**
- **Breaking barriers**: Automatically builds dynamic bridges for siloed data.
- **Self-iteration**: Refactors tools and learns human expertise safely.
- **Trust framework**: Evolves tools only within verified boundaries.
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## **Intelligent Agent Factory & Open Standards**
### **Factory**
- User-friendly platform to build intelligent agents via **drag-and-drop** or **natural language**.
- Comes with industry-specific templates (e.g., “VIP customer network assurance”).
### **Open Standards: Co-TAP**
1. **Human-Agent Interaction (HAI)** — standardizes human-agent communication.
2. **Unified Multi-Agent Collaboration (UAP)** — standardizes agent-to-agent workflows.
3. **Mutual Experience & Knowledge Sharing (MEK)** — standardizes tool and knowledge sharing.
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## **Open Source Access**
- **Co-Sight Repository**: [https://github.com/ZTE-AICloud/Co-Sight](https://github.com/ZTE-AICloud/Co-Sight)
- **Co-TAP Protocols**: [https://github.com/ZTE-AICloud/Co-TAP）](https://github.com/ZTE-AICloud/Co-TAP）)
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## **Market Outlook**
2025 marks the **application breakout** for intelligent agents:
- Capital investment is strong, but tech deployment challenges remain.
- Co-Sight 2.0’s success proves that precise pain-point targeting, open ecosystems, and business alignment yield competitive advantage.
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## **Interoperability for All**
Standards like HAI, UAP, and MEK enable not just industry giants but **small teams** and **independent developers** to participate.
Platforms like [AiToEarn官网](https://aitoearn.ai/) integrate:
- AI content creation
- Multi-platform publishing (Douyin, Bilibili, LinkedIn, YouTube, etc.)
- Analytics and model ranking ([AI模型排名](https://rank.aitoearn.ai))
This convergence of **trusted reasoning engines** and **open publishing frameworks** may define the future of **intelligent, monetized digital operations**.
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