- Eliza Labs’ has unveiled its new whitepaper, in which it explains the protocol’s vision for AI integration with Web3 enabling Web3 AI agents to automate blockchain interactions like data analysis and trade execution.
- The toolkit aims to democratise advanced trading tools, simplifying portfolio management for individual investors through AI-driven automation.
Eliza Labs, the team behind the ElizaOS framework on which ai16z (AI16Z) is based on, released a white paper outlining its vision for Web3-native artificial intelligence (AI) agents.
The 20-page document highlights ai16z’s AI agent toolkit, named Eliza, which is described as an “ideal agentic framework” designed to integrate Web3 applications into AI functionalities seamlessly.
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Eliza Labs praised its new toolkit, highlighting the open-source nature of its toolkit, and claims it can democratise access to advanced AI capabilities while reducing barriers for the general public.
The ultimate goal, the whitepaper reads, is to create AI agents capable of autonomous data analysis and trade execution, citing a critical need among individual investors for systems that can manage portfolios and execute intelligent trading operations.
AI Agents Are Taking Over DeFi
AI16Z is self-described as “the first investment DAO led by AI agents”. Central to the project is Marc AIndressen, an AI agent trained on publicly available data about Marc Andresseen, although the project has no connection to him or his venture capital firm Andreessen Horowitz (a16z).
ElizaOS has gained significant recognition, becoming one of the fastest-growing repositories on GitHub and surpassing prominent projects like Google Gemini in popularity metrics such as Stars History, which represents the number of users who have marked a GitHub repository as a favorite and a way to quantify its popularity/usefulness.
The mix of AI and DeFi gave birth to a new narrative called DeFAI, also known as AiFi or AgentFi. It’s a rapidly growing sector within the crypto industry, with a market already valued at over US$1B (AU$1.6B), according to CoinGecko.
The core idea behind DeFAI is quite straightforward: to make on-chain interactions simpler and more user-friendly by introducing AI-driven automation and natural language processing, thus simplifying onboarding.
That’s because decentralised applications (dApps), despite all the technological marvels, are still uncomfortable and complicated to use after all these years. But in general, DeFi involves navigating multiple platforms, connecting wallets, manually entering transaction details —it can be tiresome for new users. It’s also an error-prone procedure.
With DeFAI, users just need to input a few commands, such as “Swap 100 USDT for ETH” or “Find the most active pools in Aave”, etc.
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No wonder why industry leaders and analysts predict that AI agents will play a transformative role in Web3 in 2025, with cryptocurrency trading as an early application. Aussie analyst Miles Deutscher believes DeFAI could reach a trillion-dollar market cap.
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