Author: LongHash Ventures
How the Ethereum Roadmap relates to the first modular artificial intelligence Chain-related
Cryptocurrencies are on the verge of a major leap forward. For the first time in history, high-performance applications can exist on the blockchain: artificial intelligence, gaming, and order books among them. In particular, at the intersection of AI and Web3, it is becoming increasingly important to provide scalable infrastructure to meet the most performance-demanding AI applications.
Worldcoin’s Sam Altman once said at a private gathering, “One of Worldcoin’s missions is to ensure that artificial intelligence is always aligned with human interests.” Sixty years ago, Isaac ·Asimov once declared, “Science acquires wisdom faster than society.”
Placing AI models on the chain is the best way for human intelligence to grow, because AI Gained unprecedented abilities. To address the performance requirements required to achieve this feat, modularity is key.
Modularity is at the core of the Ethereum roadmap. There's a good reason for this. By dividing the monolithic blockchain into three layers: consensus, execution, and DA (data availability), each layer can be expanded independently while maintaining composability.
“0G is essentially a new type of DA modular chain that inherits security from Ethereum as a verified sovereign L1 and was discovered as a modular artificial intelligence chain Practical value.”
Similar to the Ethereum Foundation’s adjustment from a fully sharded to a Rollup-based architecture, we believe that Ethereum’s DA layer will develop itself into multiple modules DA chain. Zero Gravity is the pioneer in creating the default DA chain for high-performance execution environments.
The data availability space will always be a crucial component in Ethereum’s Rollup-based roadmap, as As Vitalik mentioned in his recent blog. The recently implemented Dencun upgrade enables EIP4844. EIP4844 allows a special area in the block to hold the data required for Rollup and lays the basic framework for future implementations of DAS (Data Availability Sampling). However, the design of EIP4844 itself limits each blob space to 384kb per blob (approximately 0.083Mbps), can only persist data for 4096 cycles (approximately 18 days), and has not yet provided DAS certification. It can be said that 4844 and complete danksharding are not the ultimate goals of DA. We believe that the Ethereum Foundation will embrace the Rollup-based DA architecture as much as the execution layer.
Celestia, EigenDA and Avail have also made significant progress at the DA level. But the growth in the number of L2 and the growth of decentralized AI applications requires higher performance and more comprehensive DA solutions. Current solutions ensure data availability, but fast retrieval of data is not currently feasible, which limits the range of applications that can be built. Innovations at the execution level, such as parallel processing, can support significantly higher orders of magnitude transactions per second. However, the DA layer should be able to propagate more data to nodes per second to reach consensus and ensure data availability. Since EigenDA is not a blockchain but a set of smart contracts running on Ethereum, it inherits the same finality time as Ethereum, which is 12 to 15 minutes. When using fraud proof-based methods like those in Celestia, DA verification can take time. Check out the full comparison chart below.
Zero Gravity is building the highest performing, scalable and secure data availability solutions. Rather than injecting entire blocks of data into the consensus system and storing them on full nodes, 0G is working directly on the network that supports a variety of data types including transactions, key-values, blobs (text, images, speech, files), and metadata logs. Build a data availability layer on top of the distributed storage system.
Performance:
Zero Gravity’s data availability layer and data storage layer have different consensus networks. This separation allows the heavy lifting of data transfer to be done within the storage layer, enabling horizontal scaling through strategic partitioning. To ensure that data is reliably available, consensus is reached through Data Availability Sampling (DAS) by a majority of validators.
Parallelized block production further enhances performance. To reduce the restrictions imposed by authenticated storage access, 0G uses a novel data structure instead of MPT (Merkle Patricia Tree).
Security:
To ensure the highest level of security, the effectiveness of the elimination encoding used by 0G is passed Validity proofs and KZG commitments are proven on Ethereum. 0G has its own consensus mechanism, and blocks are stored on 0G and verified on Ethereum L1. Ethereum’s KZG ceremony was held in 2023 and received a total of 141,416 contributions, allowing EIP 4844 to be implemented in the Dencun upgrade and paving the way for future Danksharding. By using the same “tau power” as Ethereum’s KZG ritual, 0G achieves a match for the robustness of Ethereum’s KZG, an advantage that puts it far ahead of competing DA solutions.
Fundamentally speaking, 0G is an L1 that can be verified on Ethereum L1, with its own consensus mechanism and data storage layer. This unprecedented architecture is unique at the DA level and allows 0G to extend DA through Layer2s, just as Ethereum has expanded its execution capabilities through Layer2s.
Through these innovations in architectural design, 0G significantly reduces storage and retrieval costs and provides the highest data transmission speed without compromising security.
By combining speed and cost-effectiveness, 0G is in an excellent position to become a thriving field of advanced high-performance on-chain artificial intelligence applications The infrastructure layer of the ecosystem. Currently, 0G has announced the launch of partnerships with Modulus Labs and Ora Chain, and more partners will be announced soon.
Designed to democratize access to AI technology and promote a more collaborative AI development environment, 0G provides high-throughput data storage and retrieval capabilities. This capability enables large language models (LLMs), metadata and training data to be stored on-chain. Additionally, large inference traces can be stored on-chain, allowing on-chain applications to handle inference requests. Developers will be able to add machine learning capabilities to existing smart contracts, making them more autonomous and able to make decisions based on real-time on-chain data. While the full scope of the advantages and capabilities unlocked by moving the AI stack to an on-chain environment is too early to fully foresee, the potential it holds is certainly exciting.
0G not only solves most of the pain points of AI applications, but is also able to support the growing L2, application chain and the most demanding high-performance applications, such as data markets, RWA applications , on-chain games, high-frequency DeFi, on-chain order books, etc.
We first met in the BASS (Big Data at Stanford Business School) course at Stanford University Michael, we knew then that he was a one-of-a-kind founder. Not only is he an accomplished entrepreneur (YC Best Companies) and respected lecturer (at Stanford), but he also embraces the Web3 philosophy and welcomes the community to join the infinitely expanding ranks. Michael's previous startup, Garten, focused on improving people's lives by promoting health and well-being, ultimately becoming a top YCombinator company. Prior to this, Michael gained extensive experience at companies such as Bain, Bridgewater and Microsoft. Few founders have engaged with Web2 as deeply as Michael and combined it with the ideas of Web3. Interestingly, Michael's nickname is "Kung Fu Panda" because he practiced Kung Fu at the Shaolin Temple. The community quickly turned it into a meme.
Ming and Fan are founding team members of Conflux, a permissionless public blockchain. Ming's research work covers topics including providing efficient authenticated storage for blockchain to improve throughput and speed up read/write operations, abstractions for storing and accessing application metadata, and supporting efficient scalable parallel neural network computation on graphs. frame. He has published papers at top conferences in the field of computer systems, such as SOSP, OSDI, NSDI, ATC, EuroSys, SoCC, VLDB, etc., and has collaborated with research institutions such as Microsoft Research, Cornell University, Tel Aviv University, Peking University, and University of Toronto. researchers work together. He also served as Publications Chair for SOSP'17.
Led by Michael Heinrich and Ming Wu, the 0G team has deep expertise in technology, entrepreneurship, cryptography, and product, and we believe they are well positioned to build the first modular artificial intelligence The perfect team for smart chain.
In zero gravity, the moon is the ultimate goal
Every cycle, cryptocurrencies are evolving, like billions Thousands of years have passed. As crypto natives, we're always eager for wider application adoption. Now that high-performance infrastructure is finally in place, we may see AI alive on the chain, created for the people, by the people, and for the benefit of the people.
We are excited to work with Michael, Ming and the amazing team at Zero Gravity to write the next chapter of high-performance infrastructure and applications.
LongHash Ventures is a crypto-native venture capital firm based in Singapore and Silicon Valley founded in 2017. We invest in and work alongside the visionary founders who are pioneering the next phase of the open economy. Follow (x.com@LongHashVC) to get the latest news on Web 3.0 investment. (The authors of this article are Roy and Raghav.)
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