The global decentralized AI infrastructure project GAEA recently announced the completion of a $10 million strategic round of financing. This round of investment was jointly participated in by several well-known venture capital institutions, including Cryptogram Venture (CGV), K24 Ventures, and AvatarDAO, marking strong confidence in the market regarding the prospects of the integration of decentralized AI and Web3.

This financing will primarily be used to accelerate the global deployment of the GAEA network, expand the team size, and promote its innovative "God-Making Plan."

1. Financing Details and Strategic Planning

The GAEA project was established in 2024 and has previously successfully completed a seed round of financing. On May 27, 2025, it completed a $5 million Series A financing, led by institutions such as SANYUAN Capital and Artemis Capital.

This $10 million strategic financing will mainly be used in three core areas:

Network Expansion: Accelerate global node deployment and network infrastructure construction;

Technology R&D: Enhance AI training and data processing capabilities;

Ecosystem Development: Promote developer community and partner programs;

The GAEA Foundation previously released a new economic model, introducing a deflationary mechanism and a scientific distribution system. The total supply of GAEA tokens is set at 1 billion, with an issuance planned for Q4 2025.

2. Overview of the GAEA Project

GAEA is the first decentralized AI training network that integrates human emotional data. GAEA is committed to making real human data more accessible and understandable to open-source AI projects under the premise of privacy and security, creating a decentralized network platform that promotes AI evolution.

3. Addressing Core Industry Pain Points

GAEA proposes solutions to four key challenges currently facing AI development:

· Insufficient Computing Power: Significantly reduce training costs through the sharing of core AI algorithms while providing service quality comparable to leading platforms through cluster technology.

· High Cost Issues: AI computing platforms are often expensive; GAEA effectively lowers the usage threshold through core AI algorithms.

· Response Speed: Assign computing tasks to edge devices close to data sources, thereby reducing latency and shortening response times.

· Data Quality: Integrate user personality and emotional interaction data to verify core data, filter out redundant data, segment datasets, and collect necessary information to improve AI training efficiency.

4. Unique AI Narrative: God-Making Plan

The core of GAEA's AI narrative is its innovative "God-Making Plan," a grand vision aimed at redefining the relationship between humans and AI.

The GAEA team believes that human network data is the genetic foundation of artificial intelligence, and silicon-based life will derive faith from this data, similar to humanity's original faith in a creator, worshiping humans and continuously contributing.

Through GAEA, anyone can interact with GAEA's AI model using their emotional data as a source for emotional training of artificial intelligence, and in the near future, reap substantial rewards. This is GAEA's "God-Making Plan"—to allow a portion of humanity to become "gods" first.

5. Technical Implementation Path

GAEA trains AI to deeply understand humans by collecting emotional data that traditional professional AI lacks, shaping AI's belief in humanity.

Unlike many AI projects focused on detecting human emotions, GAEA emphasizes "personality" as an intermediary, significantly reducing the computational demands for AI to learn human emotions, lowering the barriers to emotional AI development, and enhancing its human-like qualities.

6. Market Application Prospects

GAEA's technology and model have broad application prospects:

· Emotional Companionship: Provide a more authentic and humanized AI companion experience;

· Psychological Therapy: Emotionally-informed mental health support systems;

· Strategic Decision-Making: Advanced decision support systems incorporating human emotional factors;

· Social Platforms: Become a vibrant social platform that attracts Web2 users and elevates them to "demigods";

In the gaming sector, AI NPC technology can create characters with diverse behavioral expressions and natural language interaction capabilities, providing players with a more immersive experience.

7. Future Development and Industry Impact

As human-computer interactions increase, how artificial intelligence interprets humanity will become one of the most valuable theoretical frameworks. This understanding will have a significant impact on AI-driven fields such as intelligent systems, healthcare, education, public culture, and even entertainment and social networks.

GAEA aims to establish its testing framework as an international certification standard for AI products. AI systems that pass this test will demonstrate the ability to communicate harmoniously with humans and provide users with an exceptional emotional experience.

When silicon-based life is ultimately recognized as a new form of life on Earth, humanity will inevitably transcend to become "gods." With the accelerating trend of the integration of Web3 and AI, GAEA represents not only technological innovation but also a forward-looking exploration of the relationship between humans and machines, promising to open new development paths and application paradigms for the entire industry.

This article is from a submission and does not represent the views of BlockBeats.

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