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AGI-driven DAO – SingularityNET’s experiment with autonomous organizations
The revolution in decentralized organization governance is gaining momentum with SingularityNET’s introduction of the first prototypes of DAOs powered by Artificial General Intelligence (AGI). This groundbreaking project, based on OpenCog Hyperon’s framework, aims to eliminate human error in decision-making by implementing autonomous AI agents capable of analyzing complex on-chain and off-chain data. In an era when 63% of traditional DAOs struggle with low voter turnout, AGI solutions could become the key to scalability for Web3.
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OpenCog Hyperon – the technological foundation of AGI-DAO
Next Generation Cognitive Architecture
OpenCog Hyperon is an advanced AGI framework developed since 2008, integrating:
MeTTa – a programming language for cognitive computing
Distributed Atomspace (DAS) – decentralized knowledge base
AIRIS – experiential learning system
In the context of a DAO, Hyperon acts as a “meta-brain,” analyzing:
Historical Voting Data (14,3M AAVE Transactions)
Community Sentiment from Social Media and Forums
Macroeconomic Indicators Affecting Tokenomics
Decision-making mechanism
The prototype AGI agent in the SingularityNET DAO uses:
Forward/backward chaining - chaining logical conclusions
Probabilistic Logic Networks (PLN) - reasoning under conditions of uncertainty
Evolutionary learning – adaptation to changing market conditions
In practice, this means that AGI can, for example, automatically adjust staking parameters in response to changes in transaction volume, optimizing APY by up to 18,7% compared to traditional models.
The Three Pillars of an Autonomous DAO
1. Self-organizing management structure
AI Council – 7 AGI agents with different specializations (DeFi, NFT, security)
Dynamic Vote Allocation – decision weights based on the historical performance of agents
Automated proposal generation – 142 optimization suggestions per month
2. Hybrid Human-AI Governance
Despite automation, humans still play key roles:
Veto power – the ability to block AGI decisions by 2/3 of the community
Ethics Committee – supervision of algorithms for compliance with Web3 principles
Training supervision – Validation of training data for AGI models
3. Tokenomic symbiosis
SDAO (SingularityDAO) model:
Staking – 15-23% APY depending on involvement in AGI processes
Burn mechanism – 0.8% of each transaction goes to AGI Development Fund
Reputation tokens – non-fungible evidence of contribution to model training
Case study: Integration with Star Atlas
Partnership with Web3 MMO Star Atlas demonstrates practical applications:
AI NPCs – 4500 autonomous characters controlled by AGI
Dynamic economy – automatic adjustment of in-game economic parameters
Fraud detection – analysis of 1,4 million transactions per day for suspicious patterns
The result? A 37% increase in player retention rate and an 89% reduction in fraud incidents in Q2 2025.
Challenges and risks
Technological Barriers to Adoption
Latency – Average AGI response time: 4,7 s vs. 0,3 s for traditional DAO
Computational costs – $12,400 per month for retaining one agent
Interoperability -Chainlink Oracles integration issues
Regulatory uncertainties
ESMA in its document from June 2025 indicates the need to:
AGI code audit every 90 days
Maintaining full explainability of algorithmic decisions
Override mechanisms for market supervisors
Technical data and tokenomics
SingularityDAO (SDAO) – as of June 10.06.2025, XNUMX:
Accommodation and dinner are included.: $0,0434 (-94,3% from ATH)
Capitalization: $3,59 million
Circulating supply: 82,73 million (82,73%)
Quotations: CoinGecko, CoinMarketCap
ERC-20 Contract: 0x993864…b875f
Official resources:
Summary – between utopia and pragmatism
SingularityNET’s experiment with an AGI-managed DAO is more than a technological curiosity – it’s a test of the limits of decentralization in an age of algorithmic power. While traditional DAOs are losing an average of 23% of active members per year, hybrid models could be the remedy to the crisis of engagement.
As Dr. Ben Goertzel, CEO of SingularityNET, emphasizes:
"AGI in DAO is not about replacing humans, but about freeing our potential from trivial decisions. Real power should belong to those who can think strategically, not operationally."
Investing in SDAO is a bet on the future, where AI does not compete with humans but becomes their “meta-extension”. Success, however, requires overcoming fundamental challenges – from scalability to regulatory acceptance. By 2026, AGI-managed DAOs could dominate 38% of the DeFi market, but only if transparency and community control are maintained.
