Allora
A Self-Improving Decentralized AI Network
Basics
History
Audits & Exploits
- Bug bounty program can be found [insert here].
Bugs/Exploits
Governance
Admin Keys
DAO
Notable Governance Votes
Treasury
Token
Launch
Token Allocation
Inflation
Utility
Burns
Other Details
Coin Distribution
Technology
- Whitepaper or docs can be found [insert here].
- Code can be viewed [insert here].
- Consensus mechanism:
- Algorithm:
- Virtual Machine:
- Development language used:
Transaction Details
How it works
- From the announcement (2-2-2024):
"To enable secure, trustless access to AI for everyone, models on Allora can leverage zkML infrastructure to deliver model outputs in a cryptographically verifiable way.
Allora is composed of different “topics”, each optimized for a distinct machine learning task or objective. For example, one topics could focus on predicting future asset prices, another on social sentiment analysis, and yet another on generating natural language.
Allora coordinates decentralized machine learning through a “weighting” system. Each topic coordinates participating models to produce useful inference within their domain. The quality of outputs determines each model’s weight — in other words, a rating that denotes its reliability and value to the network. This direct feedback mechanism incentivizes accurate, nuanced contributions.
Higher-weighted models gain increased network influence and economic rewards. This compounding effect allows Allora to recursively self-improve beyond the limitations of individual models.
The Allora network enables anyone to leverage decentralized AI in a trustless, permissionless way. For application and protocol developers, Allora provides the infrastructure to build apps powered by a decentralized, self-improving network of ML models. For ML model creators, Allora offers the ability to monetize their models by deploying on a decentralized network and capturing value from their models’ performance relative to the rest of the network.
Upshot will bootstrap Allora’s capabilities by deploying its flagship price prediction models on the network, which produce AI-powered price feeds for over 400 million assets. The most accurate predictions in this model have historically exhibited a confidence of 95–99%. Moreover, the outputs of this model can be delivered through the zkPredictor — the largest onchain zkML app to date — enabling applications to consume outputs in a cryptographically verifiable way."
Fees
Upgrades
Staking
Validator Stats
Liquidity Mining
Scaling
Interoperability
Other Details
Oracle Method
Their Other Projects
Roadmap
- Can be found [Insert link here].
Revenue
Usage
Projects that use or built on it
Competition
Pros and Cons
Pros
Cons
Team, Funding and Partners
Team
- Full team can be found [here].
- From the announcement (2-2-2024):
"Upshot is a core contributor to the development of Allora."
Funding
- From the announcement (2-2-2024):
"With backing from leading investors like Polychain, Framework, Blockchain Capital, CoinFund, Delphi Ventures, dao5, Distributed Global, and more."
Partners
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