From Virtual NPC to Intelligent Agent: How does the AI-driven game world subvert reality?
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Hyperliquid Ecosystem Mining Guide
This guide delves into the evolving mining strategies within the HyperEVM ecosystem, including their development trajectory, who is most likely to earn rewards, and how to position yourself during this early phase. The following content has been reorganized for clarity: Unless you've been completely disconnected from the crypto sphere, you've likely noticed: Hyperliquid is everywhere. It's one of the few projects that executed its TGE strategy flawlessly, not only generating substantial wealt...
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In the current market environment fraught with anxiety, recent actions by U.S. financial regulators suggest a softening of the formerly hardline stance on cryptocurrencies, with the 'ice' of hostile regulation from the previous administration beginning to melt. Unlike the gradually warming temperatures, the cryptocurrency market has been on a downward spiral since Bitcoin fell below $90,000 on February 25th. Around 10:50 AM today, Bitcoin even broke through the $80,000 mark, reaching a new lo...
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From Virtual NPC to Intelligent Agent: How does the AI-driven game world subvert reality?
I. From Tic - Tac - Toe to El Dorado: The Evolutionary Path of AI in Games1952: "OXO Tic - Tac - Toe" Opens the Door to AI - based Games The earliest intersection of AI and video games can be traced back to 1952. "OXO Tic - Tac - Toe" developed by A.S. Douglas was the first game driven by AI rules. Although this AI could only respond to preset rules, it laid the foundation for the future development of AI in games. Its static nature revealed that early AI could only passively respond, lacking...
Hyperliquid Ecosystem Mining Guide
This guide delves into the evolving mining strategies within the HyperEVM ecosystem, including their development trajectory, who is most likely to earn rewards, and how to position yourself during this early phase. The following content has been reorganized for clarity: Unless you've been completely disconnected from the crypto sphere, you've likely noticed: Hyperliquid is everywhere. It's one of the few projects that executed its TGE strategy flawlessly, not only generating substantial wealt...
Market Plummets, But the 'Ice' of Regulation Is Melting
In the current market environment fraught with anxiety, recent actions by U.S. financial regulators suggest a softening of the formerly hardline stance on cryptocurrencies, with the 'ice' of hostile regulation from the previous administration beginning to melt. Unlike the gradually warming temperatures, the cryptocurrency market has been on a downward spiral since Bitcoin fell below $90,000 on February 25th. Around 10:50 AM today, Bitcoin even broke through the $80,000 mark, reaching a new lo...
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Recent Developments
Data Milestones: On February 15, Grass announced a new all-time high (ATH) in data capture, exceeding 1,000,000 GB in a single day. This is double the amount captured on February 13 and surpasses the data processing capacity of the human brain over 40 years.
Upcoming Interaction Updates: On March 7, Grass announced that future updates will be shared on Instagram.
Introduction to Grass
Grass is a decentralized network for accessing public data, serving as a source of training data for AI models. Deployed on Solana, it combines AI, DePIN (Decentralized Physical Infrastructure Network), and Solana technology to function as the data layer for AI. Users can share idle internet bandwidth to earn passive income without significant resource investment. Grass prioritizes privacy protection and decentralized governance, ensuring data security and user participation in the project's future.
Core Components
Validators: Key network components that use zk-SNARK proofs to verify the authenticity of training data, ensuring accuracy and reliability.
Grass Nodes: The foundational infrastructure of the network, allowing users to share unused internet bandwidth to fetch and transmit data.
Zero-Knowledge Processor (ZKP): A system composed of validators, provers, and challengers to maintain security and validation through ZK TLS, proof generation, and decentralized databases.
Grass Data Ledger: Records the history of each collected dataset, including its source, collection method, and transformation process.
Team and Background
Wynd Network, the Canadian company supporting Grass, remains mostly anonymous. Its co-founder, Andrej Radonjic, holds a Master's degree in Mathematics and Statistics from York University and a Bachelor's degree in Engineering Physics from McMaster University. He previously participated in the $1.1 million Pre-Seed round of the AI security platform, rug ai.
Funding Rounds
Pre-Seed Round: Completed in July 2023, raising $1 million led by No Limit Holdings.
Seed Round: Completed in December 2023, raising $3.5 million led by Polychain Capital.
Series A Round: Completed in September 2024, raising an undisclosed amount led by Hack VC, with participation from Delphi Digital, Polychain, Brevan Howard Digital, and Lattice Capital, valuing the company at $1 billion.
Summary and Future Outlook
Despite challenges in maintaining privacy and efficiency as the network expands, Grass offers a decentralized data layer for AI companies and protocols. By redefining incentive structures and leveraging unused internet bandwidth, Grass aims to provide a fair, open, and secure data layer for AI development. With its unique data capture capabilities and growing partnerships, Grass is poised to become a significant player in the AI data market.
Recent Developments
Data Milestones: On February 15, Grass announced a new all-time high (ATH) in data capture, exceeding 1,000,000 GB in a single day. This is double the amount captured on February 13 and surpasses the data processing capacity of the human brain over 40 years.
Upcoming Interaction Updates: On March 7, Grass announced that future updates will be shared on Instagram.
Introduction to Grass
Grass is a decentralized network for accessing public data, serving as a source of training data for AI models. Deployed on Solana, it combines AI, DePIN (Decentralized Physical Infrastructure Network), and Solana technology to function as the data layer for AI. Users can share idle internet bandwidth to earn passive income without significant resource investment. Grass prioritizes privacy protection and decentralized governance, ensuring data security and user participation in the project's future.
Core Components
Validators: Key network components that use zk-SNARK proofs to verify the authenticity of training data, ensuring accuracy and reliability.
Grass Nodes: The foundational infrastructure of the network, allowing users to share unused internet bandwidth to fetch and transmit data.
Zero-Knowledge Processor (ZKP): A system composed of validators, provers, and challengers to maintain security and validation through ZK TLS, proof generation, and decentralized databases.
Grass Data Ledger: Records the history of each collected dataset, including its source, collection method, and transformation process.
Team and Background
Wynd Network, the Canadian company supporting Grass, remains mostly anonymous. Its co-founder, Andrej Radonjic, holds a Master's degree in Mathematics and Statistics from York University and a Bachelor's degree in Engineering Physics from McMaster University. He previously participated in the $1.1 million Pre-Seed round of the AI security platform, rug ai.
Funding Rounds
Pre-Seed Round: Completed in July 2023, raising $1 million led by No Limit Holdings.
Seed Round: Completed in December 2023, raising $3.5 million led by Polychain Capital.
Series A Round: Completed in September 2024, raising an undisclosed amount led by Hack VC, with participation from Delphi Digital, Polychain, Brevan Howard Digital, and Lattice Capital, valuing the company at $1 billion.
Summary and Future Outlook
Despite challenges in maintaining privacy and efficiency as the network expands, Grass offers a decentralized data layer for AI companies and protocols. By redefining incentive structures and leveraging unused internet bandwidth, Grass aims to provide a fair, open, and secure data layer for AI development. With its unique data capture capabilities and growing partnerships, Grass is poised to become a significant player in the AI data market.
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