Artificial Superintelligence Alliance will release ASI:One in April through Product Hunt. This announcement is aimed at exposing the product to Product Hunt’s multi-tech audience ahead of a broader push for personal AI.
Please refer to FET’s official tweet:
Over 5.4 million users @ProductHunt Expect to witness the announcement of ASI:One next week.
Product Hunt is where the technology community discovers what’s next. and https://t.co/9PNP5z33Aj As a leader in the field of agent-based personal AI, we couldn’t have asked for a better combination.
Watch the video to learn more. pic.twitter.com/QHndwKZ1PN
FET information
Fetch.ai’s FET (Utility Token) is the foundation for the discovery, creation, deployment, and training of digital twins and plays a key role in smart contracts and oracles on the platform. FET allows users to build and deploy digital twins on their networks. This token will give developers access to machine learning utilities to train autonomous digital twins and deploy collective intelligence on the network. Additionally, validator nodes can stake FET tokens to facilitate network validation and increase their reputation in the process.
Fetch.ai’s technical architecture consists of four distinctive elements. Digital twin frameworks provide modular components that help teams build digital twin marketplaces, skills, and intelligence. The Open Economy Framework provides search and discovery capabilities for digital twins. Digital Twin Metropolis is a collection of smart contracts that maintains an immutable record of the agreements between digital twins on WebAssembly (WASM) virtual machines. Finally, the Fetch.ai blockchain employs multi-party encryption and game theory to ensure secure, censorship-resistant consensus and rapid chain synchronization to support digital twin applications.
Among the platform’s key components are learners, with each participant representing a unique private dataset and machine learning system. Global markets emerge as a result of collective learning experiments with machine learning models that are collectively trained by learners. The Fetch.ai blockchain supports smart contracts and enables secure and auditable coordination and governance. Finally, the platform includes a distributed data layer based on IPFS, which facilitates the sharing of machine learning weights among all involved learners.
