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A Year in Review: Fetch.AI 2020 Summary

A Year in Review: Fetch.AI 2020 Summary
By • Issue #77 • View online
First of all, happy holidays from everyone here at! We are sending our best wishes to you all and your loved ones!

2020 has been a year like no other with the COVID-19 pandemic dominating headlines around the world and our collective lives literally in every sense possible. However, we wanted to take a rare moment away from the doom and gloom to focus on what good has come from 2020 for
In partnership with Datarella, we announced the launch of our Smart City Field Trials. Using AI-agents to optimize resource usage and reduce the city’s carbon footprint, we predict that mass implementation of smart-city infrastructure will result in 34,000 tonne annual Co2 emission reduction.
We recently announced the Collective Learning Covid-19 Field Trials. Our collective learning network delivers a secure, global AI model to detect COVID-19 and is improving health outcomes. The tool enables distributed parties to work together to train machine learning models without sharing the underlying data. Multiple global participants can train and benefit from the model.
We recently launched our brand new mobility framework. It’s open to everyone and it’s open now. Decentralized solutions built with autonomous economic agents could return 20–30% of mobility’s revenue directly to the local economy, delivering a hyper-local service through a common user-focussed experience. This, alongside combining all forms of delivery and mobility (regulated or not) into new business opportunities, forms the heart of our exciting new Mobility Framework. Find out more now.
We launched a program of activities to prepare for and test the technology for the mainnet v2.0. It is still ongoing and we are even offering over 1 million FET in rewards for getting involved.
Our technology has the potential to revolutionize a multitude of industries, improving efficiency through optimization of existing systems. Enhancing and optimizing solutions to everyday problems through intelligent data sharing, machine learning and AI. This year we have developed a range of new use cases to highlight the potential of the network. You can check out our full range of use cases here.
We started this year at agent framework 0.1.16 and after 29 new releases, we are now at agent framework 0.8.0.
To help support this progress, we developed a new Autonomous Economic Agent (AEA) registry that will allow you to build agents and participate in this new digital economy far more easily.
To put some more numbers against the agent progress — this year we’ve had 235K agents connect. 1.8 million agents found (some more than once) and over 700K search queries. At one point we had 5,777 agents online at once and our OEF peak interaction rate was 15,615 per minute.
In order to prepare for mainnet version 2, staking version 2 and to accelerate our journey towards true decentralized governance we completed a token swap process. Following this, we launched a brand new staking interface as part of FET staking v2.0 to enable seamless and flexible staking by FET holders. We are super happy to announce that 91,159,904 FET has been staked so far as part of staking v2.0. You can find more details regarding staking and how to get involved here.
2020 has been a challenging year for everyone but I’m sure we can all come together and hope for a better 2021. Happy Holidays!
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