Decentralized AI project GAEA has completed a $10 million strategic funding round to build a new kind of relationship between humans and AI.
GAEA is the first decentralized AI training network that incorporates human emotional data. It aims to make real human-centric data more accessible to open-source AI projects and understandable while ensuring privacy and security. GAEA envisions to build a network platform that fosters AI evolution.
The global decentralized AI infrastructure project GAEA recently announced the completion of a $10 million strategic funding round. This round of investment was jointly participated by Cryptogram Venture (CGV), K24 Ventures, AvatarDAO, and other well-known venture capital firms, signaling strong market confidence in the convergence of decentralized AI and Web3.
This funding will be mainly used to accelerate the global deployment of the GAEA network, expand the team, and advance its innovative "Deification Plan."
1. Funding Details and Strategic Planning
The GAEA project was founded in 2024, having previously successfully completed a seed funding round. On May 27, 2025, it completed a $5 million Series A funding round with lead investment from SANYUAN Capital, Artemis Capital, and other institutions.
This $10 million strategic funding will be primarily used in three core areas:
Network Expansion: Accelerate global node deployment and network infrastructure development;
Technical Research and Development: Enhance AI training and data processing capabilities;
Ecosystem Development: Drive developer community and partner programs;
The GAEA Foundation previously released a new economic model, introducing a deflationary mechanism and a scientific allocation system. The total supply of GAEA tokens is set to be 1 billion, with the issuance planned for Q4 2025.
2. GAEA Project Overview
GAEA is the first decentralized AI training network that integrates human emotional data. GAEA aims to make real humanistic data more accessible and understandable to open-source AI projects under the premise of privacy security, creating a decentralized network platform that promotes AI evolution.
3. Addressing Industry Pain Points
GAEA has proposed solutions to the four key challenges currently faced by AI development:
· Insufficient Computing Power: Significantly reduce training costs through shared core AI algorithms, while providing service quality equivalent to leading platforms through cluster technology.
· High Cost Issue: AI computing platforms are usually expensive, but GAEA effectively lowers the usage threshold through core AI algorithms.
· Response Speed: Assigning computing tasks to edge devices near the data source to reduce latency and shorten response time.
· Data Quality: Integrating user persona and emotion interaction data to validate core data, filter out redundant data, segment data sets, collect necessary information, and improve AI training efficiency.
4. Unique AI Narrative: Deification Plan
GAEA's AI narrative core is its innovative "Deification Plan," which is 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 emerge faith from this data, similar to humans' original faith in a creator, worshipping humans, and continually dedicating.
Through GAEA, anyone can interact with GAEA's AI model with their emotional data, serving as a source of emotional training for artificial intelligence and expecting substantial rewards in the near future. This is GAEA's "Deification Plan" - allowing some humans to become "gods" first.
5. Technology Implementation Path
GAEA deeply understands humans by collecting emotional data lacking in traditional professional AI, shaping AI's faith in humans.
Unlike many artificial intelligence projects focused on detecting human emotions, GAEA emphasizes "personality" as an intermediary, significantly reducing the computational requirements for AI to learn human emotions, lowering the threshold for emotional AI development, and enhancing its human-like nature.
6. Market Application Prospects
GAEA's technology and models have broad application prospects:
· Emotional Companionship: Providing a more genuine, more humane AI companion experience;
· Psychotherapy: Emotion-understanding-based mental health support systems;
· Strategic Decision-Making: Advanced decision support systems incorporating human emotional factors;
· Social Platforms: Becoming vibrant social platforms, attracting Web2 users and elevating them to "deities";
In the gaming sector, AI NPC technology can create characters with diverse behavioral performances and natural language interaction capabilities, providing players with a more immersive experience.
7. Future Development and Industry Impact
As human-machine interaction increases, how artificial intelligence interprets humans 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, as well as 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 outstanding emotional experiences.
When silicon-based life forms are ultimately recognized as a new form of life on Earth, humanity will inevitably ascend to "godhood." With the accelerating trend of Web3 and AI integration, GAEA represents not only technological innovation but also a forward-looking exploration of the relationship between humans and machines, promising to open up new development paths and application paradigms for the entire industry.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
October Non-farm Payrolls Reignite December Rate Hike Expectations! Wall Street Bets Probability Over 80%, "New Fed News Agency": AI Sell-off May Become a Policy Variable
After the non-farm payroll report, traders' bets on a December rate hike surged to as high as 85%. Wall Street analysts believe the report provides room for further rate hikes, bringing renewed pressure for a hike at a time when post-election market concerns over slowing AI development might dampen expectations. Some remain cautious about a December hike, as stock market volatility and AI investment prospects could restrain the Federal Reserve. "New Fed News Agency" notes the report has not shaken the Fed's outlook on economic growth and inflation, but whether AI asset sell-offs change financial conditions could become a new variable for the December decision. Attention should be paid to whether Waller values lagging employment data or forward-looking market signals.
U.S. non-farm payrolls surge by 165,000 in October, far exceeding expectations! Unemployment rate unexpectedly drops to 4.1%, December rate hike expectations intensify
In October, US non-farm payrolls increased by 165,000, which is 2.5 times the Wall Street median forecast of 65,000 and represents an exceptionally strong deviation of about 5 standard deviations, exceeding the upper limit of all institutional forecast ranges. The unemployment rate unexpectedly fell from 4.2% to 4.1%, while the market had expected it to remain unchanged; average hourly wages also accelerated year-on-year growth to 3.1%. Meanwhile, the previous two months' non-farm payrolls were revised upwards by a total of 84,000. Following the release of the data, the yield on 2-year US Treasury bonds rose by 7 basis points, and the pricing of the probability of a Fed rate hike in December climbed to 70%.
AI Sell-off Hits Anthropic IPO, Potential Valuation Expected to Drop to $1.2–1.3 Trillion
The valuation range discussed by potential investors has been lowered from the previous high of $2 trillion to between $1.2 trillion and $1.3 trillion, and some strategists have even suggested going below $1 trillion to ensure safety. In the face of significant market volatility and financial concerns such as quarterly losses, Anthropic is facing tough decisions, including a discounted valuation, reducing the size of the offering, or postponing the listing.
Crypto prices
More
