The Emerging Open-Source Chinese AI and Pangea Human-to-Human Approach

Read more >

PANGEA SUMMITEXPERT PERSPECTIVE

Eric Prevost

1/30/20254 min read

Top image : Pangea Summit envisions AI as an Enriched Human Twin Helper, facilitating seamless interactions across diverse industry landscapes.

📖 Once Upon a Time: A Marketing Manager’s Global Campaign Challenge

Once upon a time, a marketing manager was tasked with developing a global campaign for a new sovereign cloud and database solution designed for manufacturing customers. The challenge? Crafting a message that resonated with diverse markets while maintaining trust, accuracy, and cultural alignment.

With AI-powered tools at his disposal, he needed to navigate different linguistic nuances, industry trends, and regulatory landscapes. Yet, he also knew that AI alone was not enough, human expertise was essential to ensuring authenticity, emotional intelligence, and ethical integrity in his messaging.

🚀 The Emerging Open-Source Chinese AI and Pangea Human-to-Human Approach

The AI technology and capability landscape is evolving at an unprecedented pace, driven by multiple players across the globe. Open-source models such as Deepseek and Qwen are bringing China into the race alongside US-based LLMs like GPT and Claude. Meanwhile, Europe, the Middle East, Japan, and Korea are also developing their own large language models (LLMs), such as Mistral, Falcon, RakutenAI, and HyperCLOVA X, each influenced by regional priorities, regulations, and cultural perspectives.

At Pangea Summit, we recognize that technology will continue to evolve rapidly, but our mission remains constant: integrating human values and capabilities with the latest and best AI solutions available. This is particularly relevant as AI-generated knowledge increasingly shapes decision-making, customer engagement, and industry insights. The challenge is ensuring that AI-driven platforms maintain trust, accuracy, and cultural balance while mitigating global bias.

The Challenges of Bias in LLMs

Despite efforts to eliminate biases in LLMs, certain biases remain inherent due to cultural, political, legal, and linguistic factors, as well as the metaphors and representations within different languages. Additionally, LLMs are not human, they lack physiological sensations, a concept of mortality, personal risk awareness, friendship bonds, and individuality. Instead, they function as collective intelligence integration systems.

These factors are crucial for human relationships, decision-making, and moral considerations at both individual and collective levels. Everyday decisions, such as choosing between an electric, hybrid, or gasoline-powered car, redefining an employee’s role, restructuring teams, or positioning a solution for a particular use case are all influenced by human biases, emotions, and ethical considerations.

💡 Key Characteristics for Innovation and Competitiveness

In the context of our PangeaGTM GenAI, we foresee four critical touchpoints where AI and human expertise must work in harmony:

  • The Target Person: The individual receiving the content, whose preferences, emotions, industry background, and cultural nuances must be respected.

  • The Source Person: The human originator of the communication (e.g., marketing or sales professionals), who ensures contextual accuracy and intent alignment.

  • The Human Experts: Specialists providing industry knowledge, market trend analysis, competitive insights, ethical considerations, and cultural context to refine AI outputs and ensure alignment with emerging business needs and economic shifts.

  • The Human Values Controller: A layer ensuring ethical integrity, sustainability, emotional intelligence, risk awareness, and respect for human values.

These human elements are complemented by AI layers that support various aspects of the communication process:

  • The AI Knowledge Target: The persona (role), company details, vision, mission, structure, results, competitiveness, and internal data if required and shared, along with industry peer use cases, comparisons, and similarities.

  • The AI Source: The best and most innovative communication practices for the message sender (e.g., emails, voice messages, POVs, white papers, videos).

  • The AI Expert: The computational reasoning engine encompassing industry knowledge, best practices, cross-domain expertise, business strategy, trends insight from statistics, and more.

  • The AI Controller: The governance layer enforcing corporate guidelines, regulations, and best practices.


🌍 Addressing LLM Bias Through Multi-Source AI Strategies

One of the fundamental challenges with LLMs is bias an inevitable byproduct of the datasets on which they are trained. This is not a matter of political or corporate control per se, but rather a reflection of human-defined perspectives on morality, politics, religion, and history. The definition of "good" or "bad" information varies widely across different cultures and societies. Some information is absent or embedded with strong cultural and societal biases in all available LLMs, whether Chinese, European, or American.

This necessitates a two-pronged approach:

  1. Distinguishing AI Technology from Its Implementation: The core technology of any LLM is neutral; it is the training data, fine-tuning, and access policies that shape its biases. Open-source models offer a unique advantage, allowing users to enrich the LLM with their own datasets.

    • For example, Deepseek, like Llama, Mistral, or Qwen, allows users to fine-tune the model with their own data. The true test of AI’s neutrality is whether platforms permit users to introduce diverse datasets without restriction.

  2. Multiplying LLM Sources to Balance Bias: No single AI model can provide a truly unbiased perspective. By integrating multiple LLMs from different regions, companies can create a more balanced AI-driven knowledge system.

    • At Pangea Summit, we do not enforce the use of any single LLM. Instead, we offer not only the choice but also the opportunity to compare and mix across LLM platforms. This approach helps users obtain the most aligned results, ensuring that AI remains a tool for human interaction rather than an automated decision-maker.

🤝 Pangea and the Role of Human Trust in AI Knowledge

In a world where AI-generated content influences business decisions, policies, and customer engagement, trust becomes the cornerstone of effective AI integration. Pangea Summit's value proposition lies in ensuring that AI remains a tool for human empowerment rather than a mechanism of unchecked automation.

By embedding multiple LLMs, reinforcing human-led validation, and maintaining ethical oversight, we create a communication ecosystem where AI-driven insights remain credible, context-aware, and aligned with human values.

The future of AI is not about choosing between Chinese, US, European, Middle Eastern, or Japanese LLMs, it is about leveraging the best of all while keeping human trust and integrity at the center of AI-powered communication.

At Pangea Summit, we invite companies to take control of their AI experience, balancing technological power with human trust. By embracing a multi-source approach that respects human expertise, cultural perspectives, and ethical considerations, organizations can ensure that AI is a truly collaborative tool rather than a black-box solution.