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How does Cardano work? What is its consensus mechanism? Cardano Community uses a uniquely energy-efficient, peer-reviewed Proof of Stake (PoS) consensus mechanism called Ouroboros. Instead of relying on energy-intensive mining hardware, Ouroboros selects validators (known as slot leaders) to create new blocks based on the amount of cryptocurrency (ADA)...

19,816 görüntüleme • 1 ay önce •via X (Twitter)

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Dear CHRONAUTS! The #CHRONOEFFE new consensus mechanism will be called: AetherForge and it is about to go live locally and then later live on the Solana testnet. Why AetherForge? - "Aether" (mythical upper air, eternity) - "Forge" (building). But there's more to it: - AetherForge is the next evolution in blockchain consensus, designed to blend the resilience of decentralized networks with the precision of AI-driven governance. Drawing inspiration from the mythical "Aether," the eternal and celestial element believed to be the fabric of the heavens, and "Forge," the crucible where raw materials are transformed into powerful constructs, AetherForge symbolizes an unyielding foundation for innovation. This mechanism aims to establish a higher plane of blockchain technology, where intelligent automation, economic incentives, and community-driven participation converge to create a self-sustaining and ever-evolving ecosystem. By introducing adaptive staking dynamics and AI-enhanced validation, AetherForge will redefine how consensus is achieved, ensuring both security and scalability while empowering developers and users alike within the Chronoeffector ecosystem. - AetherForge shares core similarities with the Yuma Consensus (From Bittensor), particularly in its adaptive and AI-enhanced approach to blockchain validation. Our dev ulזra‎ gave multiple hints to it, if you watching the live broadcasts, pretty much like Yuma (YC) AetherForge moves beyond traditional Proof-of-Stake (PoS) or Proof-of-Work (PoW) models by incorporating economic incentives, dynamic validator roles, and real-time adaptability to optimize security and performance. - Both consensus mechanisms introduce an AI-driven governance layer, allowing the network to self-regulate based on on-chain activity, liquidity shifts, and external market conditions. Additionally, like Yuma (YC), AetherForge prioritizes economic sustainability, ensuring that rewards and penalties dynamically adjust to maintain network stability and long-term viability. - However, AetherForge differentiates itself by integrating Chronoeffector’s unique staking economy, where AI agents, developer modules, and liquidity providers actively contribute to consensus, making it a more specialized mechanism tailored for high-frequency trading ecosystems and community-driven AI innovations. This fusion of celestial inspiration and intelligent automation positions AetherForge as a next-generation consensus model, refined for adaptability, efficiency, and longevity. What's next? our dev ulזra‎ will live broadcast a demo for this consensus running locally in his machine and will explain the inner mechanisms, how it works as well as a code review. Next steps will be to deploy this new consensus mechanism to Solana test net and start getting multiple external AI Agents interacting with it.

chronoeffectorAI

119,143 görüntüleme • 1 yıl önce

Vitalik Buterin explains why proof-of-stake is more secure than proof-of-work “I think proof of stake is very secure because to attack the system, you need to have basically as much stake as the rest of the network. Right now, for example, we have 5 million ETH staking, which means you have to come up with 5 million ETH and then join the network.” At the time of this writing, more than 37 million ETH are being staked, with 3 million ETH waiting to join via the validator queue. At today’s prices, that’s more than $80 billion of ETH someone would have to acquire to attack the network and revert finalized blocks, which is more than the cost of attacking even the Bitcoin network by some estimates. The other defense mechanism that proof-of-stake has that proof-of-work doesn’t is slashing, which makes Ethereum antifragile. Vitalik explains: “Recovering from attacks is much easier in proof-of-stake than proof-of-work. For many kinds of attacks you do against [the Ethereum] network, we have this concept of automatic slashing. In order to revert a finalized block, you basically have to have a big portion of your validators sign two conflicting messages. This is something where once these messages are on the network, you can go and prove ‘these people did it.’ So we have this feature in the protocol where you basically take all these people who provably misbehaved and you burn their coins.” Vitalik also acknowledges the possibility of censoring attacks, where if 1/3rd of validators refuse to attest, the chain can’t finalize. But, as he explains, Ethereum has a contingency plan for this as well: “Everyone who got censored would create a minority chain, and the community would have to do a soft fork. The would have to say, ‘this chain is clearly attacking us and this one is not attacking us, so we’re going to join this chain.’ Then what happens is, on that new chain, the attackers also lose a lot of coins. The difference between proof-of-stake and proof-of-work is that in a proof-of-stake system, you can identify specific participants — and this isn’t a human going in and saying ‘I don’t like you’. It’s all automated.” One last benefit of proof-of-stake is that security scales with the value of the network. As Vitalik put it five years ago, it is really relative security, and not absolute security, that matters: “The security needs of a thing have to be proportional to the size of that thing, because as a thing gets bigger, its enemies become bigger and more well-motivated. If BTC were 100x as big as it is today, the value from destroying it would be 100x higher, and the kinds of actors that would want to care about destroying it would be much bigger and scarier. This is also why countries of all sizes have roughly similarly sized militaries as a percentage of GDP. Hence, cost of attack divided by market cap really is the correct statistic to measure, and in the long run issuance-free PoW really does look not that good." Source: Lex Fridman (Jun 2021)

Etherealize

102,010 görüntüleme • 4 ay önce

Ouroboros "short" Leios Protoyping simulation & visualisation work in progress demonstrated by Duncan Coutts. Full P2P network running Leios Visualisation. You can see 100 different nodes and messages flowing between them all, with representation of Input Blocks (Top left, Endorsement Blocks (20 seconds In these increment), Votes (20 seconds in these increment as the pipeline hits a vote stage) You can see the votes continue to burst at roughly 20 seconds, input blocks also increase, the smoothness of message flows to reduce these bursts is something Duncan details they are working on to improve as-well as resource usage. Input Blocks (IB) - These blocks contain the raw transaction data submitted by users to the blockchain. Endorsement Blocks (EB) - These blocks reference multiple Input Blocks and are used by nodes to validate and vote on the readiness of transactions for inclusion in the blockchain. Votes- Nodes cast votes to achieve consensus on the state of the ledger, enhancing the speed of transaction finality. I believe this is completely off-chain so does not incur transaction costs (Someone keep me honest please) Keep an eye on the diffusion latency chart, as Duncan mentions this is very important, this refers more to time taken for propagation of information across the network I believe. This was an extract from a larger demonstration, really exciting, massive credit to the team working on this. It's going to be extremely impactful to Cardano and I will share as much as I can about it, I really like seeing these visualisations especially during a prototyping stage. What I find interesting is that the visualisation vote count is so much it slows down the browser rendering. Great work! web3innovationnerds & Duncan Coutts what a demonstration that was., keep them coming!

Dave

57,107 görüntüleme • 1 yıl önce