1. Background Introductiondesciagents.ai is a website focused on decentralized science (DeSci) and AI agents in the crypto space. The domain appears relatively new, and initial checks show it promotes a blockchain-based platform for AI-driven scientific research. The team section lists members with academic backgrounds but lacks verifiable LinkedIn profiles or prior project history. The project claims to bridge AI and decentralized science, a niche but growing sector in crypto.2. Website Core ContentThe website features: 1) A whitepaper detailing AI agents for scientific research 2) Token sale information with tiered participation levels 3) Roadmap showing Q3 2024 testnet launch 4) Generic AI imagery without actual product screenshots. Notable elements include academic partnership claims (unverified) and emphasis on "DeSci 2.0" terminology without clear differentiation from existing DeSci projects.3. Technical FeaturesClaims include: 1) Autonomous AI researchers operating on blockchain 2) Federated learning system for data privacy 3) IP-NFTs for research monetization. Red flags: No public GitHub repository, smart contract addresses not provided, and technical diagrams appear copied from academic papers. The "demo" section shows scripted interactions rather than live AI functionality.4. Token EconomicsToken distribution raises concerns: 1) 35% allocated to team/advisors with 6-month cliff 2) 25% for "ecosystem" without clear governance 3) Aggressive referral bonuses (15% commission). The whitepaper describes token utility for: 1) Paying AI agents 2) Staking for governance 3) Accessing premium datasets - but lacks concrete mechanisms for value capture.5. Competitor ComparisonCompared to established DeSci projects: 1) VitaDAO has real biotech research pipelines 2) LabDAO operates functional wet labs 3) Molecule showcases verifiable pharma partnerships. This project lacks: 1) Published research collaborations 2) Working prototypes 3) Clear advantage over existing AI+DeSci hybrids like BioGPT.6. Risks and ChallengesMajor risks include: 1) No smart contract audit 2) Unrealistic roadmap (claims peer-reviewed paper publication in Q2 without existing research team) 3) Potential securities law violations via unregistered token sales. The business model relies heavily on speculative token appreciation rather than sustainable revenue streams.7. Industry FutureIn the DeSci sector: 1) Regulatory scrutiny increasing for research-related tokens 2) Successful projects require 5+ years to deliver real scientific output 3) Most 2023 DeSci tokens underperformed BTC by 60-80%. This project's survival depends on demonstrating actual AI research utility beyond token speculation within 12 months.8. ConclusionAssessment: Medium-high risk. While the DeSci+AI concept has merit, this implementation shows multiple warning signs: 1) Overpromising technical capabilities 2) Weak tokenomics favoring insiders 3) No minimum viable product. Recommendations: 1) Verify academic partnerships 2) Request smart contract audit 3) Compare with open-source alternatives like ResearchHub before committing funds. Legitimate DeSci projects typically emerge from existing research communities rather than token-first launches. 更多>