4EVERLAND Launches Innovative Aggregated Mining Feature

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Mawari Network is an innovative decentralized physical infrastructure network (DePIN) that aims to transform spatial computing by providing real-time, low-latency streaming of high-fidelity 3D content for augmented reality (AR), virtual reality (VR), and extended reality (XR) applications. Built on the Solana blockchain, Mawari utilizes a global mesh of GPU-powered nodes to ensure seamless delivery of immersive content to devices like Meta Quest 3 and Apple Vision Pro. Founded in 2017 by Luis Oscar Ramirez and Takeo Yatabe, the project has already established itself as a leader in the XR market with significant partnerships including KDDI, T-Mobile, BMW, and Netflix. Recently, Mawari Network successfully raised $17.3 million from notable investors such as Anfield Ltd. and Borderless Capital. This funding will support its mission to enhance user experiences in gaming, digital twins, and fan engagement platforms like Vtubexr. The network generates an impressive annual revenue of $1.5 million through infrastructure fees and enterprise services, showcasing its robust business model and patented technology. With an upcoming mainnet launch and a Spatial Streaming SDK for developers, Mawari is poised for significant growth in the DePIN and spatial computing sectors. In addition to its technological advancements, Mawari Network is also engaging its community through airdrop opportunities. Users can earn XR Credits and mint soul-bound XR Chips by completing social media tasks and referring friends. To participate, users need to log in with their Web3 wallet and follow specific steps outlined on the Mawari portal. This initiative not only incentivizes community involvement but also fosters a vibrant ecosystem around the Mawari Network, making it an exciting project to watch in the evolving landscape of blockchain technology and spatial computing.

IoTeX, the decentralized network bridging the physical and digital worlds, announced a significant expansion into artificial intelligence. This move introduces a unified ecosystem for Physical AI, a new category of intelligence powered by real-world data from machines, devices, and decentralized infrastructure. The transition of AI systems from digital environments to real-world applications emphasizes the importance of access to live, trustworthy data from the physical surroundings. IoTeX aims to enable a new class of AI grounded in reality by creating a shared infrastructure where machines and AI agents can coordinate via verified, real-time data, transforming decentralized networks into a foundation for responsive, real-world AI systems. Since its establishment in 2017, IoTeX has been at the forefront of technologies bridging physical devices with blockchain networks. The company's latest AI expansion aligns with its vision of linking the demand for real-time, verifiable data from AI developers with the supply of connected devices and DePIN participants on IoTeX. The AI infrastructure is powered by IoTeX Layer 1 Blockchain for secure coordination, the ioID Protocol for decentralized machine authentication, Quicksilver AI framework for transforming raw machine signals, and the IOTX Token for governance and incentives. Central to IoTeX's AI architecture are Realms, evolving knowledge bases of real-time, real-world data that synthesize insights from machines, people, and sensors to generate actionable intelligence in various sectors like mobility, health, energy, and robotics. Realms serve the dual purpose of providing real-time situational awareness for AI agents and offering dynamic environments for training the next generation of Physical AI models. As data flows into a Realm from connected devices and DePIN nodes, its intelligence becomes more precise, adaptive, and valuable, evolving into living knowledge bases that scale with participation. IoTeX's vision is to build dynamic economies of intelligence where machines, people, and AI collaborate to generate continuously evolving knowledge, forming a global constellation of verified environments where physical intelligence becomes a scalable and monetizable resource for real-world AI applications.

Theta EdgeCloud has unveiled an innovative feature: a large language model (LLM) inference service that provides distributed verifiability. This groundbreaking service allows AI agents and chatbots to perform LLM inference that is both trustworthy and independently verifiable, a first in the industry. By leveraging blockchain-backed public randomness beacons, Theta EdgeCloud combines advanced AI technology with the decentralized and trustless nature of blockchain, making it the only platform to offer such capabilities among both crypto-native and traditional cloud services. This development is particularly significant for sectors like enterprise and academia, where the integrity of computational outputs is crucial. The need for trust in AI outputs has become increasingly important as modern AI agents depend heavily on LLMs for generating responses and executing complex tasks. Traditionally, many frameworks have relied on centralized LLM APIs or hardware-enforced security, which can compromise the reliability of results. The introduction of DeepSeek-V3/R1, an open-source alternative to proprietary LLMs, paves the way for full-stack verification. Theta EdgeCloud has taken this a step further by implementing a Distributed Verifiable Inference system, ensuring that LLM outputs are reproducible and tamper-proof, even from the service provider itself. The newly released industry-grade verifiable LLM inference engine is integrated into Theta EdgeCloud, achieving public availability through deterministic token probability and verifiable sampling. By utilizing open-source models, users can independently verify the next-token probability distribution. The incorporation of a publicly verifiable random seed ensures that the sampling process is reproducible and transparent. This two-part design guarantees that no party can tamper with the model output, thereby enhancing the integrity of AI outputs. As AI continues to permeate various aspects of life and commerce, the ability to verify and trust these outputs will be essential for safety and security, marking a significant advancement in the field of AI.

The Hivemapper Network is proposing a significant update through Map Improvement Proposal 24 (MIP-24) aimed at enhancing its rewards system to better align with customer demand for high-value map layers. The proposal emphasizes the need for dynamic map features such as road construction updates and temporary traffic changes, which are deemed more valuable than traditional street-level imagery. With the introduction of the Bee, a new mapping platform equipped with advanced technology, the network aims to shift its focus from merely collecting imagery to delivering real-time, accurate map data. This change is crucial as it allows contributors to be rewarded based on the quality and timeliness of the data they provide rather than the quantity of images uploaded. The proposal outlines three key changes to the current rewards structure. Firstly, it introduces a hex-based contribution model that rewards contributors for coverage in hexagonal areas rather than the number of images uploaded. Secondly, it supports 24x7 mapping capabilities, enabling contributors to capture data at all hours, thus increasing the potential for dynamic event capture. Lastly, an upload speed score will be implemented, incentivizing contributors to upload data as quickly as possible, reflecting the increasing customer demand for real-time information. This new scoring system will calculate the time taken between data collection and upload, rewarding faster uploads with higher scores. The implications of MIP-24 are significant for both contributors and customers. By focusing on hex coverage, real-time data collection, and faster uploads, the Hivemapper Network aims to enhance the overall quality and freshness of its maps. This shift not only aligns the rewards system with the evolving needs of customers but also encourages contributors to optimize their mapping efforts. As the proposal enters a comment period, active community members are invited to engage and provide feedback, ensuring that the final implementation reflects the collective insights of the Hivemapper community.

Nubila is launching a new Validation Layer aimed at expanding participation in its climate data ecosystem. This initiative allows anyone to contribute to the decentralized data consensus layer through on-chain verification without the need to own a Marco weather station or a Validator Node. The campaign, which lasts for 90 days and incurs no upfront costs, is designed to broaden participation and reward early contributors while maintaining the value of existing holders. By making the Nubila Network more accessible, the project aims to enhance awareness and understanding of decentralized climate infrastructure. The Validation Layer is a limited-time opportunity for users with a VeChain wallet to validate real weather data and earn token rewards. Participants can engage in manual validation, where they review data from Marco weather stations and earn rewards for accurate entries, or opt for auto-validation for passive participation. The campaign emphasizes transparency, with all validation data being auditable, including timestamps, weather station IDs, and sensor readings. This initiative complements the existing Marco and Node holders, who remain crucial to the infrastructure by generating the data that is verified. To incentivize participation, Nubila has introduced a new weekly allocation model for B3TR rewards, reserving 10% of the total mining pool for validators. This structure ensures that participants can earn rewards based on their validation efforts while maintaining a fixed supply of data entries. The campaign not only aims to improve data quality for various applications, including AI and climate modeling, but also seeks to engage a broader audience in contributing to climate insights. With this launch, Nubila is redefining participation in its network, making it easier for anyone to join and make an impact in the climate data space.