Technology

Walrus (WAL) serves as the core token of a decentralized data storage network. Its primary roles include paying for on-chain storage services, incentivizing node operators who maintain the network, and enabling participation in protocol governance. By linking the storage resource market, validator rewards, and token economics, Walrus forms a distributed data infrastructure built around the value circulation of WAL.

Walrus is a decentralized data storage protocol built on the Sui blockchain. Its core objective is to transform data from passive storage into verifiable, programmable, and tradable on-chain resources, providing foundational support for DeFi and AI applications.

Bittensor (TAO) is a decentralized network that combines blockchain and artificial intelligence. It uses a subnet structure to allow AI models to compete in an open market and earn rewards based on their performance.

Bittensor is a decentralized AI network that builds an open machine learning marketplace through Subnets, Miners, and Validators. It uses the Yuma consensus mechanism to evaluate models and distribute TAO rewards, turning AI capabilities into a priced and incentivized resource.

TAO is the native token of the Bittensor network, playing a central role in incentive distribution, network security, and value capture within a decentralized AI ecosystem. Through an inflationary issuance model, staking mechanisms, and subnet based incentives, TAO supports an economic system where AI models compete, are evaluated, and rewarded based on performance.

Zebec is a blockchain-based protocol designed for real-time payments and cash flow management. Its core mechanism combines streaming payments and continuous settlement, allowing funds to move continuously at the second level rather than relying on periodic batch processing.

A Bittensor Subnet functions as an independent AI task marketplace within the network. Each subnet builds its own incentive structure around specific use cases such as text generation, image recognition, or prediction. Through miners supplying models, validators assessing output quality, and dynamic TAO and Alpha token allocation, subnets enable the production and pricing of machine intelligence in a decentralized way.

Gate Exchange for AI provides access to centralized exchange trading systems, while Gate DEX for AI connects AI agents to on-chain decentralized finance environments. These two execution paths differ in transaction routing, custody structure, and operational control. Understanding how these execution architectures work helps explain how AI agents interact with centralized and decentralized financial infrastructure in modern crypto ecosystems.

The x402 protocol is a Web3 API payment standard designed for AI agents that addresses the challenge of paying for API services in automated environments. The protocol builds on the HTTP standard 402 Payment Required status code and combines it with blockchain based payment mechanisms, allowing programs to automatically complete payments and settlement when requesting API services. Through this design, x402 provides new infrastructure for machine to machine service transactions on the internet.

Monad is a high performance, low latency EVM compatible Layer1 blockchain designed to dramatically increase throughput and confirmation speed while preserving full Ethereum Virtual Machine compatibility. Rather than relying on Layer2 scaling or modular designs, Monad fundamentally restructures both the execution and consensus layers. Through parallel transaction execution, an optimized BFT consensus mechanism, and an asynchronous block processing model, it delivers architectural level performance breakthroughs beyond traditional public chains.

A comprehensive analysis of the architecture and application scenarios of the Plasma blockchain, exploring how it leverages a native Bitcoin bridge, zero-fee stablecoin channels, and a customizable gas model to build the next-generation Layer 1 infrastructure tailored for global payments.

This article analyzes the breakthroughs in multimodal video generation technology (such as Byte's EX-4D, Google Veo, etc.) and discusses their profound impact on the creator economy and Web3 AI.

This article looks at the accomplishments of different projects over the last 2 years and what interesting developments have happened around the implementation of ERC-4337. We will also look at the production stats for ERC-4337 from different chains and apps.

This article provides an in-depth analysis of how Memeapp drives the monetization of AI-generated content through the MCP protocol and Vibe encoding system, exploring its innovative approaches and potential impact on content ownership fragmentation, cold-start challenges, and differentiation from Memecoin. Forward the original title: Is Memeapp, which is just emerging, the next big opportunity at the intersection of Crypto and AI?

Gate Research (April 4–10, 2025): Gate Research (April 4–10, 2025): Lens Protocol launched its mainnet (Lens Chain) on April 4. On April 7, Mantra unveiled a $108M fund to boost real-world asset tokenization and DeFi innovation. On April 9, PancakeSwap proposed its Economics 3.0 plan to cut token supply by 20% over five years. On April 10, Tether’s CEO announced plans for a decentralized AI platform launching in June or September, empowering users to control their data.