We are proud to unveil Testnet V2, a major advancement for Allora Network. Building on the success and learnings from Testnet V1, this latest version is designed to bring even greater robustness, scalability, and performance to the Allora ecosystem ahead of mainnet launch.
You can start joining the Allora Testnet V2 by setting up a wallet here.
New and Improved Testnet Version
These are the key advancements you will find in Testnet V2:
- Enhanced Chain Query Capabilities: Testnet V2 considerably broadens the range of data that may be queried straight from the blockchain. Users and developers can now access:
- Detailed inference data, providing deeper insights into network operations
- Loss and Nonce information for both workers and reputers
- Dynamic Network Growth: Testnet V2 introduces a more fluid system than Testnet V1, where new actors were queued for the next round of inference requests. New participants are now seamlessly integrated into the network in real-time;
- Validator Restoration from Snapshots: A major leap in network resilience, Testnet V2 introduces the ability to restore validators from snapshots, ensuring quicker recovery and synchronization of validators;
- Advanced Validator Logging: Recognizing the critical role of validators in maintaining network integrity, we've significantly improved validator logging capabilities. This upgrade facilitates more efficient troubleshooting;
- Advanced Loss Forecasting: we've refined loss forecasting capabilities:
- Upgraded Nonce Tracking and added Events to better handle forecasted losses;
- Introduced Confidence Intervals for Network Inference to quantify context awareness.
Revamped Documentation for a Seamless Onboarding
We are pleased to release an updated version of Allora documentation, available here.
This docs update introduces various improvements, designed to provide a more user-friendly and efficient experience for developers, data scientists, and community members alike.
Intuitive User Interface and Navigation
One of the most visible changes is the new user interface. The new documentation has a cleaner, more intuitive style, making it easier for users to explore and locate the information they want. The structure has been simplified with distinct sections such as "Participants," "Key Terminology," and "Layers of the Network," which are now more organized and accessible, allowing users to easily grasp the architecture of the Allora Network.
Network’s Layers Deep Dive
The new docs introduce detailed explanations of the Allora Network Layers, crucial for understanding the Allora Network functionality and its potential applications: Inference Consumption Layer, Forecasting and Synthesis Layer, Consensus Layer.
Users can now better understand the intricacies of the network's data aggregation and utilization process, as well the different reward mechanism to incentivize the growth and security of the network:
- Inference Consumption Layer
Facilitates the exchange of inferences
- Forecasting and Synthesis Layer
- Inference workers provide inferences
- Forecasting workers use models to predict the accuracy of these inferences
- The Inference Synthesis mechanism aggregates results for consumers
- Consensus Layer
- Manages rewards and economics for network participants
- Ensures a permissionless and secure environment for transactions.
Tokenomics Section
A noteworthy addition in the updated documentation is the tokenomics section. It provides a more thorough and understandable explanation of the Pay-What-You-Want (PWYW) concept which allows token holders the flexibility to choose the fee they pay for inferences generated by the network, token emissions, staking procedures, and fee distribution for the network.
This makes it easier for users to understand and participate in the Allora Network's economic model.
How to Participate in Testnet V2
There are several options available for you to become involved and support the Allora ecosystem. Whether you’re a user, data scientist, or developer, there’s a role for everyone to help build and enhance the network. Here’s how you can get involved:
- Data scientists can participate as workers, enabling them to contribute predictive ML models that power a wide range of applications;
- Developers can create topics for worker nodes to submit their inferences to. Several topics are already available for use;
- Users can engage as validators or reputers, playing a vital role in building and maintaining the core infrastructure of Allora or assigning reputation to Workers.
You can also join the Allora Points Program by engaging in Testnet V2 with the on-chain activities mentioned above. Discover more here.
About the Allora Network
Allora is a self-improving decentralized AI network.
Allora enables applications to leverage smarter, more secure AI through a self-improving network of ML models. By combining innovations in crowdsourced intelligence, reinforcement learning, and regret minimization, Allora unlocks a vast new design space of applications at the intersection of crypto and AI.
To learn more about Allora Network, visit the
Allora website, X, Blog, Discord, and developer docs.
