Davide
@0xdavide
🤖Many people see AI as something "abstract" and in a super bubble. If we talk about token prices and AI companies in the stock market, this is certainly true (last 2 years), however AI is revolutionizing the way we act on the web and in everyday life. ♦Decentralized Agentic Organizations: Decentralized organizations based on AI agents that operate autonomously to make decisions and manage resources in distributed networks. ♦Agent-to-Agent Interaction: Interaction between AI agents, with automated communication and cooperation between systems to solve complex problems and improve efficiency. ♦Agentic Multimedia Entertainment: Creation of dynamic and interactive multimedia content (films, generic videos, games, music), generated and managed by AI agents for personalized experiences. ♦Generative/Agentic Content Marketing: AI agents that create personalized advertising content and marketing strategies, adapting in real time to user needs and preferences.
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Davide
@0xdavide
♦Data Markets: AI-powered marketplaces for buying, selling, and securely exchanging data. ♦Decentralized Compute: Decentralized computing infrastructures, where distributed computational resources are allocated and used efficiently using AI. ♦Compute Accounting Standards: Protocols for tracking and accounting for the use of computational resources, ensuring transparency and accountability. ♦Next-Gen Art Tools/Platforms: Tools for professional art creation (designers). ♦Probabilistic Privacy Primitives: AI techniques for ensuring data privacy using probabilistic models, protecting sensitive information without compromising functionality. ♦Agentic Intents and Next-Gen User Trading Interfaces: AI-driven trading interfaces that understand user intent and optimize transactions.
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Davide
@0xdavide
♦Tokenization of AI Models: Creation and management of AI models as tokenized assets on blockchain, enabling fractional ownership and trading of models. ♦Decentralized AI-as-a-Service Infrastructures: Platforms that combine AI and blockchain to offer on-demand AI models and services, ensuring transparency, traceability and decentralization. ♦Intelligent Smart Contracts: AI-enhanced smart contracts to make dynamic and automated decisions based on complex conditions and real-time data. ♦AI DAO: Using AI and blockchain to develop decentralized and automated governance systems, optimizing resource management and problem solving. ♦Data Quality Assessment: AI-based systems that analyze and validate the quality of data exchanged on blockchain, limiting the risk of incorrect or incomplete information. ♦Decentralized Marketplaces for Pre-Trained AI Models: Creating blockchain-based marketplaces to buy, sell and trade pre-trained AI models.
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Davide
@0xdavide
♦Federated and Decentralized AI Networks: Blockchain-based AI training networks, where nodes collaborate to train shared models without centralizing data. ♦Digital Identity for AI Agents: Developing blockchain-based digital identities for AI agents, ensuring authenticity, reputation and traceability in their operations. ♦Blockchain-Based AI Auditing and Monitoring: Using blockchain to record and monitor AI model decisions, improving the reliability of decision-making processes. ♦Fraud Prevention: Blockchain-integrated AI systems to detect and prevent fraudulent activities, improving the security of transactions and contracts.
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