'Samsung Next Investment' Blockchain Aleo Adjusts Staking Reward Method

Bloomingbit Newsroom

Summary

  • Aleo announced that it will adjust its staking reward method to a 'timestamp' method.
  • This is a response to the expected excess inflation rate, aiming for accurate inflation management and dynamic reward adjustment.
  • Aleo stated that it is receiving interest from major investors such as Samsung Next and SoftBank.

Layer 1 blockchain Aleo (ALEO) announced through its official channel on the 20th that it will adjust its staking reward method. Staking is a method where tokens are deposited to contribute to chain security, and rewards are received at set intervals.

Aleo announced that on the 9th, a community proposal (ARC-0042) was adopted, changing the staking (PoS) reward method from the existing 'block height-based' to a 'timestamp' method.

This decision is Aleo's response to the annual inflation rate exceeding expectations. Aleo initially set the block generation time at 10 seconds, but as new blocks were generated faster than expected, a situation arose where token inflation was anticipated. Therefore, Aleo applied the timestamp method to staking, allowing rewards to be allocated based on the time elapsed per block, regardless of how many blocks were generated.

Specifically, the major updates include ▲ dynamic reward adjustment ▲ accurate inflation management. 'Dynamic reward adjustment' changes the existing staking reward algorithm, which assumed a uniform 10-second interval, to adjust rewards based on block intervals. 'Accurate inflation management' ensures that the total annual block reward does not exceed the target of 5%.

Aleo stated, "This change was decided in a decentralized manner through active discussions among community members," and "with the active participation of members, a fair reward system could be introduced. This will enhance Aleo's sustainability in the future."

Meanwhile, Aleo has attracted attention by securing investments from Samsung Next, SoftBank, a16z, and Galaxy Digital.

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