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@762

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@762
hi @aylinn
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@762
This discussion deeply explored DoubleZero’s innovative N1 protocol, technical infrastructure, and economic model, highlighting the network’s potential for the future.
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New entrants use consortium models, sharing costs and capacity—e.g., Meta might fund 80% of a cable and sell the remaining 20% to others like Netflix or Cloudflare. Finally, N1’s compatibility with other networks was emphasized. As an OSI Layer 1–3 network, N1 is agnostic to network architecture and can support various blockchains. It currently supports Ed25519 signatures (used by Solana), but FPGAs can be updated for other cryptographic curves. Expansion plans for 2025 and beyond include other L1s and non-blockchain systems.
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Contributors must stake a minimum amount of tokens to cover slashing penalties for malicious behavior (e.g., false latency reports). Validators stake proportionally to their responsibilities and rewards—more stake means more work and rewards. The rewards system distributes fees based on performance using Shapley values, prioritizing low latency, high bandwidth, and popular routes. A portion of rewards is burned to prevent inorganic traffic (fake data sent to boost rewards). N1 enhances this by prioritizing high-performance connections, making the network more profitable for both validators and contributors.
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The network’s growth and potential risks were also discussed. Major risks include a global crypto ban, low scaling ambition in the crypto sector, and physical infrastructure costs (e.g., securing dark or lit fiber). A mainnet launch for Solana on N1 is targeted for 2025, with current testing on a private testnet involving four validators. A public testnet is planned within a month, with long-term expansion to other blockchains. The fiber market structure was addressed. N1 typically uses lit but underutilized fiber, not dark fiber (unused glass fiber requiring optical equipment). Traditional carriers (Verizon, AT&T), private equity firms (Lumen, L3 Communications), and new consortia (Meta, Amazon, Google) own and operate these lines.
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Delays or packet drops are detected to identify tampering, with slashing penalties applied to provide cryptographic assurance and prevent man-in-the-middle attacks. The network’s technical architecture uses multicast technology, differing from the traditional internet’s unicast approach. This hardware-accelerated method, common in professional networks and high-frequency trading, replicates packets automatically instead of sending them repeatedly, reducing latency and validator workload. For example, airplaying music to multiple speakers uses multicast—N1 applies this to block propagation, RPCs, and state updates, delivering 10x faster performance than the public internet or existing blockchain solutions. The economic model highlighted a staking system for network contributors and validators.
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The network’s reliability is supported by over 20 independent network contributors providing multiple data paths. This redundancy ensures trust in the network, even without being a traditional blockchain. Dedicated fiber optic lines and hardware like FPGAs (Field-Programmable Gate Arrays) are used for in-line signature verification, spam filtering, and eliminating duplicate transactions. Validators can fall back to the public internet if needed, but N1’s dedicated infrastructure offers much faster block propagation and state synchronization—critical for high-performance systems like Solana or other blockchains. Censorship resistance is ensured through multiple independent paths. If a connection begins censoring or misbehaving, the system automatically routes around it via alternative pathways. Public routing tables are published on a DoubleZero ledger, showing expected latency between points (e.g., Amsterdam to Tokyo).
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- @doublezero Space: Key Discussion Topics The DoubleZero Space featured an in-depth conversation about the N1 protocol and network infrastructure. N1 was introduced as a new global base layer network designed to deliver low latency and high bandwidth for high-performance blockchains and internet services. Unlike traditional blockchains, N1 operates at the physical and data link layers of the OSI model (Layers 1–3), optimizing real-time data movement far beyond what traditional public internet or blockchain scaling solutions like Ethereum or Solana can achieve today.
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Sentient NFT: Dobby Fingerprint One of the easiest ways to enter the Sentient ecosystem is through Dobby Fingerprint NFTs. These NFTs grant access to Sentient’s testing phases and provide future rewards. How to Get a Dobby NFT? • Dobby NFT holders get direct access to Sentient’s testing programs. • Non-holders can purchase Dobby NFTs on Opensea. • Current Price: 5 $POL ($1.5 USD) Buy Dobby NFT Here: https://opensea.io/collection/dobby-fingerprints Sentient AI Models Sentient currently offers two AI models for testing: 1. Dobby Mini Unhinged (Llama-3-1-8B) – More expressive and human-like responses. 2. Dobby Mini Leashed (Llama-3-1-8B) – More concise and precise answers. These models reflect Sentient’s vision of a more inclusive and community-controlled AI. To try them out: https://dobby-arena.sentient.xyz
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How to Join the Sentient Ecosystem Joining Sentient grants access to OG (Original Gangster) roles, which offer benefits in the community. To participate: 1. Join Sentient’s Discord:https://discord.gg/sentientfoundation 2. Claim the “Evangelist” role in the #roles-hub channel. 3. Create and share AI-related content: Tweets, videos, research, or memes. There are three levels of OG roles in the Sentient community: • Early AGI: For active contributors who regularly support the community. • Advanced AGI: For long-term contributors making a sustained impact. • Sentient AGI: The highest-tier role for those driving AI governance and decision-making. These roles enhance influence in the community and provide future benefits.
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Sentient AGI and Decentralized Governance Sentient is pioneering decentralized AI governance through Judge Dobby, an AI model designed for community-driven decision-making. Built in collaboration with @eigenlayer Judge Dobby is set to automate complex governance and adjudication processes in decentralized systems. Judge Dobby’s capabilities include: • Evaluating token governance decisions • Detecting malicious validator behavior • Assessing blockchain protocol modifications This model represents a major step toward integrating AI into decentralized governance and justice systems.
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Sentient’s Funding and Backers Sentient has gained strong investor backing, securing $85 million in seed funding from top-tier VCs such as Founders Fund, Pantera Capital, and Framework Ventures. Additionally, Ethereal Ventures, Robot Ventures, Symbolic Capital, and Delphi Ventures have also invested in the project. Sentient originated from a discussion between Polygon co-founder Sandeep Nailwal and EigenLayer founder Sreeram Kannan. It was later academically supported by Princeton University professor Pramod Viswanath and Himanshu Tyagi from the Indian Institute of Science and Technology. With this backing, Sentient is positioned as a key player in the AI revolution.
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OML: Open, Monetizable, and Loyal AI At the core of Sentient is the OML (Open, Monetizable, and Loyal AI) framework, which ensures AI development remains transparent and accessible. OML introduces: • Integration of blockchain, AI, and cryptography to create a secure and decentralized AI ecosystem. • Trusted Execution Environments (TEE), homomorphic encryption, and AI-native cryptography to protect AI model ownership and integrity. • Turning AI attack techniques like data poisoning into security tools to safeguard AI systems. OML prevents AI centralization by leveraging blockchain to ensure transparency and accountability, making AI a shared resource rather than a corporate asset.
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Sentient: The Future of AI and Blockchain-Powered Decentralization SentientAGI As AI continues to evolve, its development and deployment remain controlled by a handful of large corporations. These companies create closed-source AI models, limiting access to the public and shaping the future of AI without transparency. Sentient AGI is a revolutionary project that aims to decentralize AI, making it open, transparent, and community-driven.
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What is Sentient? Sentient is an innovative platform that combines blockchain and AI to create an open, transparent, and community-governed AI ecosystem. Backed by Polygon co-founder Sandeep Nailwal, Sentient is designed to rival centralized AI companies by developing open-source AI models contributed by the community.
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Conclusion and Recommendations Each of these four projects offers distinct advantages for different use cases: • MegaETH is ideal for DeFi, trading, and gaming due to its ultra-low latency and high TPS. • RiseChain is best suited for large-scale applications, AI-driven projects, and data-heavy dApps thanks to its high transaction capacity. • Hyperliquid is optimized for financial markets and liquidity provision, making it the top choice for trading platforms. • Monad is designed for high-throughput applications requiring parallel execution, offering a balance of performance and decentralization. Which Blockchain is the Best? It entirely depends on your use case! Carefully evaluate your project’s needs before choosing the right blockchain solution.
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Monad – High-Throughput Layer 1 with Parallel Execution Monad is a Layer 1 blockchain designed to improve Ethereum’s efficiency and scalability. With the MonadBFT consensus, parallel execution, and low-latency transaction processing, Monad delivers a highly efficient infrastructure compared to Ethereum. Full EVM compatibility makes it easy for Ethereum developers to migrate, but its high hardware requirements raise concerns about decentralization. Since it does not share Ethereum’s security model, some developers might hesitate to adopt it.
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Hyperliquid – Layer 1 Optimized for Financial Markets Hyperliquid is a Layer 1 blockchain specifically built for decentralized finance and trading applications. Utilizing the HyperBFT consensus mechanism, it achieves 0.2-second finality, providing a fast and efficient trading infrastructure. HyperEVM is a customized Ethereum Virtual Machine optimized for liquidity aggregation and financial transactions. This structure makes it ideal for financial institutions, liquidity providers, and professional traders, processing 200,000 TPS. However, it is less versatile for general-purpose dApps due to its finance-focused architecture.
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RiseChain – Entering the Gigagas Era RiseChain is a Layer 2 blockchain that leverages Celestia DA to achieve decentralized data availability. With parallel EVM execution, a continuous block pipeline, and an innovative state-access model, RiseChain aims to scale beyond 1 million TPS. It is particularly designed for large-scale dApps, AI-powered applications, and data-heavy projects, offering unparalleled transaction processing capabilities. However, Celestia DA requires developers to adapt to a different approach, which might slow adoption compared to other Layer 2s.
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MegaETH – Real-Time Layer 2 Performance MegaETH is a Layer 2 solution for Ethereum that prioritizes ultra-low latency and high scalability. By utilizing EigenDA for data availability, MegaETH can process transactions independently of Ethereum Layer 1. The sequencer-centric model allows for faster execution but raises concerns about decentralization. This structure makes MegaETH an ideal solution for DeFi, high-frequency trading, gaming, and NFT platforms. Block times are between 1-10 milliseconds, supporting over 100,000 TPS. Full EVM compatibility allows Ethereum developers to integrate seamlessly. However, finality on Ethereum L1 takes seven days, meaning that transactions are not instantly final.
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