Aleo: A Pioneer in Web3 Privacy Protection

Aleo is a blockchain project dedicated to privacy protection, achieving higher privacy and scalability through zero-knowledge proof technology. The core idea of the project is to enable users to perform identity verification and data processing without disclosing personal information.

Project Overview

The main features of Aleo include:

1. Privacy: Adopting zero-knowledge proof technology allows transactions and smart contract executions to proceed while protecting privacy.

2. Scalability: Use off-chain processing methods to enhance transaction processing speed and system scalability.

3. Consensus Mechanism: Introduces AleoBFT, combining the immediate finality of validators and the computational power of provers.

4. Development Tools: Provide the Leo programming language, IDE, and SDK to help developers quickly build applications.

5. No gas limit: Allows the development of long-running applications, such as machine learning, etc.

Latest Developments

Aleo plans to launch the incentive testnet on July 1, with major updates including:

1. The ARC-100 proposal has been passed, involving compliance and security measures.

2. The validator incentive program will allocate 1 million Aleo points as rewards.

3. The initial supply is 1.5 billion tokens, with an initial circulating supply of approximately 10%.

4. The Testnet Beta undergoes its final reset, adding ARC-41 and new puzzle features.

5. The code has been frozen in preparation for the mainnet launch.

6. Plan to gradually increase the number of validation nodes from 15 to 500.

Synthesis Puzzle Algorithm Analysis

The latest update of Aleo's puzzle algorithm is called Synthesis Puzzle, and its core features are as follows:

1. A common EpochProgram is generated for each epoch.

2. Generate the witness as the leaf node of the Merkle tree by constructing the R1CS proof circuit.

3. Calculate the Merkle root and convert it to the proof_target of the solution.

4. Each epoch's EpochProgram is generated by a randomly sampled instruction set, ensuring the diversity of computational logic.

5. Multiple solution calculations can be performed within the same epoch by updating the nonce.

This algorithm update shifts the focus of mining from generating proofs to generating witnesses, increasing the difficulty of parallel implementation, which may affect existing GPU optimization solutions.

Aleo's innovative initiatives aim to promote the development of Web3 privacy protection technologies, providing users with a safer and more efficient blockchain experience. As the project continues to evolve, we look forward to seeing more breakthroughs in privacy protection and scalability.