Title: "ORA: Ethereum’s TrustlessAI"

Author: ORA

Translation: Fairy, ChainCatcher

Editor's Note: On June 26th, the oracle protocol ORA announced the completion of a $20 million financing, with investors including Polychain, SevenX Ventures, HF0, and Hashkey Capital. At the intersection of blockchain and artificial intelligence, ORA is opening up new frontiers. By combining AI, rich data sources, and scalable computing power, ORA not only breaks the limitations of smart contracts but also empowers developers with innovative space.

This article details ORA's core technology and products, including Zero-Knowledge Machine Learning (zkML), Optimistic Machine Learning (opML), and Optimistic Privacy Protection Artificial Intelligence (opp/ai). Reading this article will provide an understanding of how ORA is driving the development of on-chain AI.

Introduction to ORA

ORA is Ethereum's trustless artificial intelligence, capable of implementing artificial intelligence and scalable computing on the blockchain.

By providing AI, richer data sources, and arbitrary computation, ORA breaks the limitations of smart contracts, allowing developers to innovate freely.

ORA's work has gained the trust of institutions such as Compound, Ethereum Foundation, Uniswap, and Optimism.

1. Oracle ORA On-Chain Artificial Intelligence

ORA makes on-chain artificial intelligence a reality. ORA has contributed a series of cutting-edge research and products to the field of on-chain artificial intelligence. The products include zkML, opML, and opp/ai.

a) zkML: Zero-Knowledge Machine Learning

zkML is an encryption method for on-chain machine learning.

ORA is a pioneer in the zkML field and has invented the world's first zkML library: Keras2Circom.

According to research benchmarks supported by the Ethereum Foundation, Keras2Circom outperforms other zkML frameworks.

Furthermore, Keras2Circom is ready for production and has been tested in real-world scenarios within a rich ecosystem.

Read more here and view the Keras2Circom library on GitHub.

b) opML: Optimistic Machine Learning

opML is an economically efficient machine learning framework that can now be implemented for on-chain machine learning.

ORA is the inventor and creator of opML, both from an academic research and open-source implementation perspective.

While zkML can generate encrypted proofs for ML computations, these proofs are concise enough to be verified on-chain. However, current computing power is not efficient and economical enough to generate proofs, especially for large AI models.

In contrast to zkML, opML can efficiently bring large models such as Grok's 3.14 billion parameter model onto the chain, reducing management costs by over 1,000,000 times.

Learn more in our paper: https://arxiv.org/abs/2401.17555.

c) opp/ai: Optimistic Privacy Protection Artificial Intelligence

opp/ai, optimistic privacy protection artificial intelligence, combines zkML for privacy protection with opML for efficiency, tailored for on-chain AI.

ORA is the inventor of opp/ai.

Compared to pure zkML, opp/ai performs better while maintaining the same privacy characteristics as zkML.

Read more here and learn more in our paper: https://arxiv.org/abs/2402.15006.

2. ORA On-Chain Artificial Intelligence Oracle (OAO)

a) Introduction

ORA's Onchain AI Oracle (OAO) is a verifiable, decentralized AI oracle.

OAO enables anyone to use on-chain AI reasoning on any blockchain.

OAO uses opML to create verifiable proofs for ML computations that can be verified on the blockchain. This opens up new possibilities for AI on the blockchain.

b) OAO on Ethereum and Optimism

OAO has been running on Ethereum and Optimism based on opML to generate verifiable AI reasoning.

Last month, ORA OAO was deployed on the Ethereum mainnet.

Recently, in collaboration with Optimism, ORA OAO has been integrated into the Optimism mainnet.

Read more about the deployment announcement of OAO on Ethereum and Optimism.

c) Building with OAO

As a developer, you can refer to the following resources to build AI-driven on-chain applications:

• OAO Repo: OAO.
• OAO Documentation: AI Oracle.
• Video tutorials on building with OAO: How to interact and build with OAO.
• Ideas built with OAO for inspiration: So you want to build with Onchain AI.
• ORA ecosystem project reference: awesome-ora.

3. ORA Initial Model Offering (IMO)

In the era of AI, ORA introduces a new mechanism called IMO (Initial Model Offering).

a) Introduction

TL;DR: IMO tokenizes AI models on-chain.

For artificial intelligence models, IMO provides sustainable funding for open-source AI models.

For the ecosystem, IMO helps coordinate the allocation and continuous contribution of values and incentive measures.

For token holders, IMO allows anyone to derive value from on-chain AI models through income and reasoning assets (e.g., ERC-7007).

Many open-source AI models face challenges in monetizing their contributions, leading to a lack of motivation for contributors and organizations. As a result, the AI industry is currently dominated by closed-source, for-profit companies. The key to the success of open-source AI models is the need to raise more funds and build openly. With IMO, we can win the open-source AI battle. IMO can facilitate the sustainable development of the open-source AI model ecosystem by promoting long-term interests, encouraging participation, and funding the open-source AI community. When we have open-source models that are better than proprietary models, we win.

IMO tokenizes the ownership of open-source AI models and shares their profits with token holders.

b) Core Components of IMO

IMO is permissionless, allowing anyone and any community to conduct IMO for their AI models.

In IMO, there are two core components:

• Verifiable on-chain artificial intelligence models
• On-chain revenue sharing

For Onchain AI, we need to bind tokens with the correct AI models and reasoning. ORA is achieving this through the previously mentioned ORA OAO, the world's first AI Oracle applicable to any AI model.

For on-chain revenue sharing, ORA introduces ERC-7641: Intrinsic RevShare tokens as the foundation of IMO, enabling fair revenue sharing. IMO tokens are not AI meme coins but represent shares of AI models. Holders can benefit from the income of AI models through OAO and reasoning assets such as ERC-7007: Verifiable AI-generated content tokens.

c) Summary of IMO

IMO is permissionless, allowing anyone and any community to conduct IMO for their AI models.

IMO tokenizes specific AI models, providing:

• Communities with an effective way to raise funds for open-source projects.
• Incentives for contributors to continue improving globally accessible models.
• Opportunities for token holders to earn income by using on-chain models.

Meaningful IMO requires a revenue-sharing mechanism for Onchain AI and IMO tokens:

• Onchain AI can be achieved through ORA OAO.
• Income comes from model usage in ORA OAO and reasoning assets co-authored by ORA, among others.
• The revenue-sharing mechanism is executed through ERC-7641 written by ORA.

$OLM on the mainnet: 0xe5018913F2fdf33971864804dDB5fcA25C539032LP

Address on the mainnet: 0xB57CFe32dbF5227d9c9A03eF3D2E9E53cb4524B0

a) Introduction to OpenLM

OpenLM is a repository for executable language modeling (LM) designed to facilitate research on medium-sized LMs.

OpenLM is open, high-performance, decentralized AI, as opposed to closed, centralized, licensed LLMs funded and supervised by large tech giants.

OpenLM is an open-source model created by a decentralized team under the MIT license. Their contributions will be recognized through this donation, which will also help incentivize and promote the development of open-source LMs accessible to anyone.

b) OpenLM IMO

On April 10th, we launched the world's first IMO: OpenLM IMO.

OpenLM IMO tokenizes the open-source models of OpenLM.

Just as Prometheus stole fire for civilization, ORA's first IMO with OpenLM demonstrates the benefits of IMO for the open-source AI community.

$OLM is not ORA's token. It represents the tokenization of OpenLM models on Ethereum, shared by OpenLM contributors and the community. Nevertheless, ORA's on-chain AI oracle can tokenize AI models.

IMO will be the cornerstone of OpenLM's journey, providing funding and incentives to nurture a sustainable ecosystem, democratize access, and drive continuous development.

IMO for OpenLM is expected to leverage the power of open-source software and the community to fundamentally change the landscape of LLM.

Read more about OpenLM IMO here.

c) OpenLM IMO Event

The inaugural OpenLM IMO was a tremendous success.

5 billion tokens were sold for approximately 150 ETH (about $500,000) within 5 minutes. This demonstrates high demand in the presence of low supply. $OLM continues to trade on the decentralized exchange Uniswap.

Unfortunately, due to overwhelming demand compared to limited supply, the majority of transactions from those attempting to purchase $OLM at the start of the sale were unsuccessful.

This is the first IMO, and there will be more in the future. Future IMOs will have different parameters to allow more valuable individuals and wallets to participate.

d) OpenLM IMO Roadmap

The goal of IMO is to nurture the open-source community and strengthen the ecosystem. OpenLM IMO provides more resources for the OpenLM open-source community.

This is the flagship demonstration of IMO technology. It marks the beginning of a more sustainable, competitive, and open-source future for AI.

The following is the roadmap to achieve the success of OpenLM IMO.

1. OAO Integration

To achieve revenue sharing for $OLM, ORA will integrate the OpenLM AI model into the Onchain AI Oracle. This way, on-chain income can be generated and tracked by OAO every time a user interacts with the OpenLM model.

2. Expansion of the OpenLM Ecosystem

IMO provides sustainable funding for open-source AI models. With the efforts of OpenLM IMO, various projects can contribute to the income pool for $OLM.

3. Donations to the OpenLM Community

As previously announced and planned, 10% of $OLM IMO tokens will be allocated to existing and future OpenLM contributors.

We are finalizing all the details of support for the open and decentralized AI community.

4. Revenue Sharing Activities

OpenLM RevShare tokens ($OLM) have the following features:

• Revenue sharing: A portion of the income from OAO or other sources will be allocated to the revenue-sharing pool for $OLM tokens. Token holders can claim income every 90 days after a snapshot.
• Destruction: A portion of the income from OAO or other sources will be allocated to the token destruction pool for $OLM tokens. Token holders can destroy their tokens as part of a buyback mechanism. The destruction mechanism will support the "floor price" of OpenLM tokens.

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