
SingularityNET
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Market Cap
$86,343,229
24h Trading Vol
$36,045
All Time High
$1.46
All Time Low
$0.007
Total Supply
437,282,865
Max Supply
2,000,000,000
Circulating Supply
298,647,418
Categories
Chains
Contracts

FAQs
What technology powers SingularityNET?
SingularityNET is powered by advanced technologies designed for decentralized AI. Its core is OpenCog Hyperon, a neural-symbolic AGI framework supporting various AI algorithms. The platform utilizes a Knowledge Layer with Knowledge Graphs for robust data management and contextual understanding, and AI-DSL for seamless interoperability between AI services. Additionally, the SingularityNET Bridge facilitates cross-chain transfers of agix and other tokens between Ethereum and Cardano, enhancing the platform's multi-ecosystem functionality and enabling diverse AI applications.
What are the main use cases for agix token?
The agix token is central to the SingularityNET ecosystem, serving as the primary cryptocurrency for various functions. Its main use case is facilitating payments for AI services consumed on the decentralized marketplace. Users can purchase AI algorithms, models, and data from developers using agix. Furthermore, agix can be utilized for staking, particularly within the Cardano Ecosystem, where a hybrid staking solution provides rewards for token holders. This utility underpins the platform's economic model, incentivizing participation and the growth of beneficial AI services.
How does SingularityNET ensure AI service reliability without centralized control?
SingularityNET employs a dual-layer verification system combining cryptographic checks and reputation mechanisms. All AI services undergo: 1) Code validation through decentralized auditing, 2) Performance benchmarking against predefined metrics, and 3) Continuous reputation scoring based on service outcomes. The reputation system uses Proof of Reputation consensus where nodes with higher ratings gain more weight in network decisions. This creates an emergent quality control system where poorly performing services naturally lose visibility while high-quality algorithms gain traction through the marketplace ranking algorithms.
What advantages does SingularityNET offer AI developers compared to traditional platforms?
Developers gain three key advantages: 1) Direct monetization through micro-payments per API call without platform commissions, 2) Access to composable AI services enabling hybrid algorithm development, and 3) Intellectual property retention through decentralized publishing. Unlike centralized AI platforms that lock developers into proprietary ecosystems, SingularityNET's open protocol allows service creators to maintain ownership while integrating with other services through standardized gRPC interfaces. The Deep Funding program additionally provides grants for promising projects through community voting.
How will the ASI token merger impact existing AGIX holders?
The token merger transitions AGIX into the ASI ecosystem through: 1) Fixed conversion at 1 AGIX = 0.433350 ASI, 2) Continued governance rights with enhanced voting power in the alliance, and 3) Expanded utility across Fetch.AI and Ocean Protocol networks. Existing holders retain all staking rewards accrued and gain access to cross-chain ASI functionality. The merger specifically maintains AGIX's original tokenomics benefits while adding liquidity through combined network effects. Migration requires token swaps via audited contracts, with detailed guides available through official channels.
Can SingularityNET realistically achieve decentralized AGI against well-funded corporate AI efforts?
SingularityNET's decentralized approach provides unique advantages for AGI development: 1) Specialized talent aggregation through open collaboration, 2) Diverse training data from multiple industries, and 3) Ethical alignment mechanisms via community governance. While corporate labs have resource advantages, their closed systems create data siloes and single-point failures. SingularityNET's OpenCog Hyperon framework enables collective intelligence where contributors retain ownership, creating an 'emergent AGI' model where distributed improvements compound. Early indicators include the ROCCA neural-symbolic framework surpassing equivalent monolithic models in adaptability benchmarks.
What prevents malicious actors from exploiting AI services on the network?
Three-layer security architecture protects the network: 1) Service-level encryption via Homomorphic Encryption allowing computation on encrypted data, 2) Payment channel fraud proofs that automatically penalize faulty providers, and 3) Decentralized identity verification through the ASI Hub. The Mind Network partnership provides FHE-based agent authentication ensuring only vetted services operate on the network. Continuous monitoring through reputation oracles automatically downgrades or blacklists malicious nodes, with dispute resolution handled through decentralized arbitration.