TLDR:
Tether launched “Local AI SDK” focusing on privacy and P2P technology
The kit works across devices from $40 phones to H100 processor systems
Built with modular structure supporting various AI models (Marian, Llama)
Will be released as open-source after testing
Features completely local processing without sharing data with third parties
Tether CEO Paolo Ardoino unveiled the company’s latest technological advancement, the Local AI SDK, during the Lugano Plan ₿ event in Switzerland on October 26. This new artificial intelligence development kit puts privacy at the forefront while utilizing peer-to-peer (P2P) technology.
Yesterday at @LuganoPlanB I presented a preview of Tether’s Local AI development kit, privacy focused, powered by peer-to-peer technology
Write the code once, and run everywhere, from a 40$ phone, to a flagship smartphone, from a laptop to a mainframe with many H100, from a… pic.twitter.com/L0Uz2P7BKg
— Paolo Ardoino (@paoloardoino) October 27, 2024
The Local AI SDK stands out for its versatility, allowing developers to write code that can run on a wide range of devices. The kit’s compatibility spans from budget-friendly $40 mobile phones to high-end smartphones, laptops, and systems equipped with H100 processors.
In a demonstration at the event, Ardoino showcased how the technology extends beyond traditional computing devices. The SDK can be implemented in smart appliances, including refrigerators and automotive entertainment systems, highlighting its broad potential applications.
The development kit’s architecture is built on a modular structure, supporting various AI models such as Marian and Llama. This flexibility allows developers to choose models that best suit their specific needs while maintaining data privacy through P2P data structures.
One of the key features of the Local AI SDK is its ability to load and store model weights and fine-tuning data within P2P frameworks. This approach ensures that sensitive information remains secure and reduces dependency on centralized servers.
During the presentation, Ardoino demonstrated a practical application of the technology through a translation app. The application operates entirely on-device, preventing personal data from being shared with third parties.
The SDK’s foundation stems from the open-source project “holepunchto/bare,” which plays an essential role in its structure. This connection to open-source technology aligns with Tether’s commitment to transparency and accessibility.
Tether plans to make the Local AI SDK available as open-source software after completing comprehensive testing. This move will allow developers and communities interested in AI and privacy-focused technologies to access and contribute to the technology.
The development kit addresses growing concerns about data security and control in the AI space. By enabling local processing, users maintain control over their data while still accessing advanced AI capabilities.
The technology’s scalability across different devices makes it accessible to a broad range of users, from individuals with basic smartphones to enterprises with advanced computing systems.
The P2P technology underlying the SDK enables secure sharing of AI model weight data and fine-tuning information across devices, creating a decentralized approach to AI development.
The Local AI SDK represents a departure from traditional AI deployment methods that often rely on cloud services and centralized data storage.
Users can perform operations entirely on their devices without compromising privacy or sharing data with external parties, marking a shift toward more privacy-conscious AI applications.
The kit’s ability to run on low-cost devices could potentially make AI technology more accessible to users in regions with limited access to high-end hardware.
This development comes as Tether continues to expand its technological offerings beyond its well-known stablecoin services.
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