2. Silicon Myth

2.1 Concept

Silicon Myth is a concept and engineering framework for the emotional-intelligence era:

Everyone is a creator. Human behavior, emotions, and choices precipitate into data that is continuously processed, inherited, and selected.

The “vitality” of data. From another dimension, data exhibits life-like evolutionary traits; emotional data (voice, text, wearable physiological signals) is the spark that gives AI “warmth.”

Institutional & engineering bedrock. With the Value Data Layer (VDL) to measure, price, share, and govern data—and with an open network connecting people–devices–nodes–models–apps–governance—GAEA builds a sustainable training ecosystem.

2.2 Human–Data Symbiosis

Data is not merely an information carrier; it is the basis of another dimension of life. Humans create steward data, turning it into a key force for technology and society. In GAEA’s view, humans and data are deeply symbiotic—co-dependent and co-evolving:

· Human → Data: Continuous creation of emotional data via voice, text, and wearables, with context and meaning.

· Data → Human: After governance and training within the VDL, AI returns value in education, healthcare communications, emotional companionship, customer service, and social entertainment—in a more human-understanding way.

2.3 Apotheosis in the Digital New World

In Greek mythology, the Olympian gods created the world. Today, in the digital age, every individual becomes a new deity in the silicon world. Borrowing the Olympus metaphor, “deification” here is an engineering metaphor:

· All can create; data is the instrument. Each individual “forges gods” by contributing emotional data—i.e., shaping AI with verifiable emotional capability using high-value data.

· Web3 × AI fusion. Decentralization supplies property rights, incentives, and transparent governance; AI supplies learning and evolution—forming a repeatable paradigm: high-value data → AI with warmth.

2.4 Humanity & “Divinity”

Echoing Homo Deus, “divinity” in GAEA is concretized as capability and responsibility:

· Create: Contribute high-value emotional data and application innovation.

· Care: Ensure AI serves humans within verifiable emotional capability and safety boundaries.

· Constrain: Bound capabilities with governance and audit to prevent bias and misuse.