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Coinbase and Tether Introduce AI-Blockchain Integration Platforms
Coinbase’s Breakthrough with “Based Agent”
Coinbase Launches Tool for Effortless AI-driven Crypto Agents
Coinbase has debuted a pioneering platform, coined “Based Agent,” for streamlining the development of AI-powered cryptocurrency agents. This innovative tool, introduced by developer Lincoln Murr, aims to empower developers by enabling the swift creation of autonomous AI agents for crypto transactions. Leveraging Coinbase’s Base network, OpenAI’s robust language model, and Replit’s user-friendly development environment, developers can now craft AI agents in just under three minutes.
Multi-chain Compatibility Expands Application Scope
The “Based Agent” platform not only supports multiple blockchain networks like Ethereum, Polygon, and Arbitrum but also extends its reach to Coinbase’s Base network. This diverse compatibility broadens the horizon for developers, enabling them to create solutions for a wide array of blockchain platforms beyond Coinbase’s ecosystem.
Rapid Deployment of AI Agents Encourages Economic Activity
Coinbase CEO Brian Armstrong has emphasized the platform’s capacity for instantaneous deployment of AI agents equipped with crypto wallets and access to blockchain features. This aligns with Coinbase’s strategic vision of an “Agentic Web,” where blockchain-powered AI agents drive economic activities in the digital realm.
Tether’s Focus on Privacy and Accessibility with Local AI SDK
Tether Unveils Modular AI Development Kit for Enhanced Privacy
Tether has revealed its groundbreaking Local AI software development kit (SDK) at the Lugano Plan ₿ conference, helmed by CEO Paolo Ardoino. This innovative SDK, built on Bare, an open-source Javascript runtime, prioritizes user privacy. Developers can now create private, peer-to-peer AI applications that run directly on user devices, addressing growing concerns about data security and privacy in the AI era.
Emphasis on Accessibility and Flexibility in AI Development
The Local AI SDK, featuring support for multiple AI models such as Marian and Llama, offers developers flexibility and choice in building applications. Moreover, its compatibility with a broad range of devices, from low-cost mobile phones to powerful mainframes, democratizes AI development, making it accessible to a wider audience.
Modular Design Enhances Privacy and Encourages Collaboration
Ardoino highlighted the Local AI SDK’s modular architecture, enabling the storage and loading of model weights and fine-tuning data within peer-to-peer structures, enhancing privacy and fostering collaboration. Tether plans to release this innovative SDK as open-source software post-testing, promoting collaboration and innovation in the developer community.