As artificial intelligence becomes more powerful, the question of who controls it becomes more urgent. MindHive Network is answering that question with a bold new vision: an open, decentralized ecosystem where AI is governed by the community, not corporations.
MindHive combines blockchain, AI agents, and community-driven data to create a network where anyone can contribute – whether by providing data, building AI models, running nodes, or participating in governance. At its core is the belief that AI should be transparent, accessible, and collaborative.
Unlike centralized AI platforms, MindHive allows anyone to deploy AI agents that perform tasks such as language generation, data analysis, and more. These agents can work together to solve complex problems – a “hivemind” approach that reflects the power of collective intelligence.
Data ownership is also being reimagined. Through DataDAOs, users can contribute datasets, vote on how they’re used, and earn rewards when their data powers AI solutions. It’s a fair, privacy-preserving alternative to today’s data monopolies.
Fueling this network is $MHN, the native token of MindHive. It’s used to pay for AI services, reward contributors, and vote on key proposals. By staking MHN, users gain both yield and a voice in shaping the platform’s future.
MindHive is currently expanding its ecosystem and preparing for public network access. A testnet launch is on the horizon, and the community is rapidly growing across developer, data, and Web3 communities.
Whether you’re an AI developer, Web3 user, data provider, or simply passionate about a more open future for technology — now is the time to join the hive.
Join the MindHive Movement
Build, contribute, and earn in a decentralized AI network made for the Web3 era.
The post MindHive Network Decentralizing the Future of AI appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
Reaxa bridges traditional real estate with decentralized finance by transforming physical properties into fully-compliant, tradable on-chain assets.Through tokenized ownership, instant liquidity, and automated income distribution, Reaxa makes real estate accessible, transparent, and usable—24/7, globally.
Reaxa, a blockchain-based real estate tokenization platform, has officially launched with a mission to unlock global property markets by transforming physical assets into on-chain, compliant, and tradable tokens.
The platform enables fractional ownership of real estate through tokenized structures, allowing users to invest in vetted property portfolios with as little as a few dollars. By leveraging Ethereum and Layer-2 scaling solutions, Reaxa ensures fast, low-cost transactions while maintaining full regulatory alignment under frameworks like Reg-D and Reg-S.
Reaxa’s dual-token infrastructure includes both ERC-20 tokens for ownership and income rights, and property-backed NFTs representing specific asset shares. Rental income is automatically distributed to token holders, while assets are listed on a 24/7 decentralized marketplace—eliminating barriers like borders, intermediaries, and legacy paperwork.
“At Reaxa, we’re not just putting real estate on-chain—we’re making it usable,” said the team. “Our goal is to provide global investors with instant access to real-world assets, without compromising on legal clarity or transparency.”
Built by a team of blockchain engineers, real estate operators, and compliance professionals, Reaxa combines deep DeFi expertise with real-world asset management experience. The platform’s roadmap includes global property expansion, secondary market integrations, and staking-based governance using the Reaxa Token.
About Reaxa Reaxa is a decentralized real estate tokenization platform designed to bridge traditional property assets with the world of DeFi. It enables regulatory-compliant, fractional ownership of real estate with global liquidity and automated income distribution—all secured on blockchain infrastructure.
The post Reaxa Bridging Property and DeFi Through Tokenized Assets appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
AI Tutoring Platform announced that its core learning system has entered the second phase of engineering polishing, covering modules such as task rhythm adaptation, multimodal content adaptation, PoL on-chain verification, and graph-driven path generation, and is committed to building a verifiable, sustainable, and collaborative decentralized intelligent learning infrastructure. The project is not yet online, and all systems are still in the testing phase. The official ecological cooperation pre-access channel is also opened.
July 2025 · From AI Tutoring Labs Inc.
As the global education digitalization process continues to advance and AI content generation technology evolves rapidly, a large number of learning platforms are still stuck in the content distribution and check-in system, and learners’ paths are limited to linear courses, static tasks, and “percentage of completion” driven mechanisms. The key to learning effectiveness – behavioral rhythm, cognitive absorption ability, and understanding process – has never been systematically modeled or verified.
AI Tutoring Platform is changing all this.
As the world’s first decentralized intelligent learning system built on the Proof of Learning (PoL) consensus mechanism, AI Tutoring does not attempt to become another content platform or AI instructor assistant, but is committed to building a complete intelligent learning engine from rhythm control, task scheduling, feedback loop to on-chain verification closed loop.
The project is currently in the second phase of engineering testing. All functions have not yet been launched, but the polishing and internal testing of the following key structural modules have been completed:
Task scheduling system driven by learning behavior The platform does not rely on a fixed course rhythm, but automatically adjusts the task length, difficulty and time window by real-time monitoring of learners’ behavioral data (focus fluctuations, repeated operations, pauses in thinking, etc.), so that each section of learning is in a sustainable absorption state, minimizing “passive completion” and “fatigue collapse”.
Reinforcement feedback mechanism (Reinforcement Loop) Every operation, an error retry, and an interruption behavior will be regarded as a signal for the system to update the strategy. The platform is testing a set of reinforced strategy feedback networks that can fine-tune the learning path in real time, so that the content is not “recommended to you”, but “dynamically negotiated with your current cognitive state”.
Multimodal content adaptation engine Different learners have very different ways of understanding. The platform has designed a content adaptation system based on behavioral preferences, which can automatically switch or merge in multiple forms such as text, illustrations, videos, simulators, etc., to achieve true “learning mode perception”, thereby optimizing absorption efficiency rather than stacking information density.
Knowledge graph-driven path reconstruction engine The platform has completed the knowledge structure modeling system, organized all knowledge units in the form of concept dependency graphs, and updated the mastery status of each learner in real time. The system no longer issues tasks by module, but identifies your blind spots and potential areas, and generates structural path recommendations.
Rhythm-adaptive PoL verification mechanism In the PoL core module, AI Tutoring emphasizes not only “what has been learned”, but “whether it is truly understood”. The platform uses mechanisms such as behavioral entropy analysis, natural interaction duration, and cognitive delay matching to achieve trusted on-chain verification of the real learning process under non-linear rhythm, effectively blocking mechanical brushing tasks and non-human operation paths, and ensuring the authenticity of incentive distribution.
Education is not content, but structure The AI Tutoring team said that they are not in a hurry to launch functions, but hope to enter system testing and ecological joint debugging after the “logical closure and engineering strength” of the functional modules are completed.
“The learning system is not a content factory, it should be a cognitive operating system.”
“We are not building a product, but repairing a set of underlying logic for future education.”
Cooperation invitation and follow-up arrangements The project is currently opening the pre-connection window for the following cooperation directions:
Education content platform, course provider and certification agency
Decentralized identity system and on-chain certificate protocol
Web3 education project party and knowledge certificate collaboration party
The official will announce the API access details, PoL verification standard document, path adaptation logic structure description in the future, and release the roadmap update at an appropriate time.
CryptoTransact launches a real-time crypto payment infrastructure built for global merchants, creators, and platforms. Its stack combines instant on-chain settlement, full compliance automation, and composable SDKs—offering a frictionless alternative to legacy systems.
CryptoTransact today announced the release of its full-stack crypto payment infrastructure designed to meet the real-world needs of merchants, creators, NFT platforms, and game studios. Unlike legacy payment platforms or theoretical blockchain alternatives, CryptoTransact operates as a live-tested system that delivers sub-30-second settlement, predictable transaction costs, and full compliance tooling—all in one unified stack.
While many platforms attempt to mimic traditional finance using tokens, CryptoTransact approaches the problem differently: by subtracting friction, not adding speculation. It integrates deeply at the protocol layer, enabling automated liquidity routing, programmable refunds, and real-time compliance including Know Your Customer (KYC), Anti-Money Laundering (AML), and Travel Rule compatibility.
“Global payments don’t fail because of missing features,” said a core contributor. “They fail because of disconnected systems and unpredictable behavior. We built CryptoTransact to close that gap.”
Designed with a modular architecture, CryptoTransact is built around four interconnected layers: on-chain settlement, liquidity orchestration, compliance enforcement, and developer tooling. Its public SDK suite supports TypeScript, Go, and Python, with open MIT licensing and sandbox access for developers.
At the ecosystem level, CryptoTransact introduces a utility and governance token used to align incentives among merchants, validators, and protocol participants. Instead of relying on hype cycles, the platform anchors its launch strategy in merchant adoption, usage-driven incentives, and system-level transparency.
As digital commerce becomes increasingly global, programmable, and real-time, CryptoTransact positions itself not as a payment gateway—but as the infrastructure layer for the next generation of cross-border value transfer.
To help more users take part in the network, we’re adding support for Liquid Staking Derivatives (LSD). This means you can stake your LUMINA tokens, earn rewards, and still keep those assets flexible for use across DeFi and other apps. It’s all about giving you more freedom while supporting the network.
At the same time, we’re proud to launch our Green Validator Program — a key step toward building a sustainable blockchain. Validators who use renewable energy or efficient hardware will be recognized and encouraged. As we grow, we want to make sure our infrastructure does too — responsibly, and with the planet in mind.
We’re also integrating with decentralized oracle services, which allow smart contracts on LuminaCoin to access real-world data — like asset prices, weather, and more. This opens the door for developers to build smarter, more responsive applications on our network.
Together, these updates make LuminaCoin more useful, more sustainable, and better connected than ever. Whether you’re a builder, a validator, or a community member — now is the time to get involved.
In the age of generative AI, content creation is no longer limited by human hands. But until now, that content lacked ownership, scarcity, and value. AIMint is changing that — by turning every AI-generated image, video, sound, or text into a fully tradable, ownable on-chain asset.
AIMint is not another AI generator. It is a full-stack protocol that enables creators to mint, price, own, and sell their AI-generated works — all on the blockchain. Powered by a modular architecture compatible with ERC-721M, AIMint supports creative workflows where every participant in the pipeline — from model developers to image creators — can earn royalties transparently.
Here’s how it works: Creators input prompts into AIMint’s supported models. The system generates content and instantly provides a suggested market price based on historic sales and model parameters. With one click, creators can mint the content as an NFT with full copyright metadata and optional revenue-sharing rules. Every work minted on AIMint carries permanent ownership, smart-contract enforced royalties, and a verified origin.
“AIMint is building the missing layer between algorithms and markets,” said the AIMint core team. “We don’t just believe AI should assist creativity — we believe it should be part of the value economy, with creators in control.”
Top creators now use AIMint to sell prompt-generated art directly to collectors, while developers upload their own AI models into the ecosystem to receive invocation-based revenue.
The vision doesn’t stop there. AIMint is building towards a fully decentralized AI content marketplace governed by DAO proposals. The protocol is cross-chain enabled and expanding across BSC, Polygon, and Arbitrum. Upcoming integrations with Chainlink oracles and Filecoin for decentralized storage are already underway.
Whether you’re an AI artist, a model engineer, or a collector of digital assets, AIMint offers a new paradigm: algorithmic content that is ownable, traceable, and monetizable — on your terms.
Blockchain security protocol SafeShield has entered its second phase of internal testing, successfully connecting its real-time risk scoring, contract execution firewall, funds migration logic, and multi-signature notification relay. This marks an important step for SafeShield to provide a full-chain automated response infrastructure for the Base network.
SafeShield, a blockchain security infrastructure project built specifically for the Base ecosystem, announced today that its cross-module threat control system has successfully completed internal testing.
During this phase, SafeShield completed simulations connecting four key components:
By integrating these components into an orderly response timeline, SafeShield demonstrated its transformation from an isolated tool to an integrated defense network. Under high-frequency injected threat simulations, the test environment consistently triggered the full reaction chain within 20-30 seconds.
“We’re not building a monitoring tool, we’re building a system that takes action when needed,” said one core contributor.
SafeShield is currently running in a closed internal testnet, and its next milestones include on-chain zero-knowledge proof generation and DAO-level switch governance control.
[July 2025] — In an era where data fuels the digital economy, a new infrastructure is emerging to restore ownership, privacy, and value back to the creators. DataSoul, a pioneering decentralized protocol, officially enters the blockchain landscape with a bold mission: to build the future of Information Finance (InfoFi), where data is not only protected — but monetized.
A New Economic Layer for Data
DataSoul introduces the InfoFi protocol, a groundbreaking architecture that allows users to tokenize, secure, share, and earn from their data. Unlike traditional Web2 platforms where users’ digital footprints are exploited without reward, DataSoul ensures:
Full data ownership
On-chain monetization
Privacy-preserving computation
Cross-chain interoperability
Backed by technologies like zero-knowledge proofs, federated learning, and modular smart contracts, the platform empowers individuals, enterprises, and developers to build and benefit from a transparent, AI-powered information economy.
The Role of $DSTL
At the core of the DataSoul ecosystem is $DSTL, the native utility token with real-world functions:
Pay for AI computation and data processing
Vote in protocol governance
Earn staking rewards
Trade datasets in the InfoFi marketplace
A deflationary token model ensures long-term sustainability, including burn mechanisms and revenue-backed buybacks.
Multi-Chain by Default
Deployed across Ethereum, Arbitrum, and Cosmos, DataSoul enables seamless interoperability, low transaction costs, and instant access to a wide user base. Developers can plug into the ecosystem using SDKs and APIs, while data providers retain full control over permissioned access.
The Vision Ahead
DataSoul isn’t just another data platform — it’s the infrastructure for a decentralized data economy. By aligning incentives across users, developers, and communities, it sets the stage for an open, fair, and powerful new layer of value on the internet.
“We don’t sell data. We activate it. And we believe the value should go back to its source: the people.”
NeuraLinker, a blockchain-native platform focused on decentralized GPU computing infrastructure, announced that its real-time zk-Telemetry validation layer is now live in test nodes. This feature ensures that all computing tasks are backed by verifiable performance traces and provides a stable execution model for the upcoming mainnet environment.
FRANKFURT, Germany – July 13, 2025 – NeuraLinker, a decentralized GPU computing network, today announced that its real-time zk-Telemetry system is now live on test nodes around the world. This marks a critical step in the network’s transition from experimental infrastructure to a verifiable, incentive-aligned compute layer for AI inference and model training.
Unlike traditional cloud systems where performance is opaque and often unverifiable, NeuraLinker ties each micropayment stream directly to a cryptographic performance receipt. Every 10 seconds, nodes submit zero-knowledge proofs to verify their execution within a trusted enclave (SGX, SEV-SNP). If telemetry data deviates, payments are automatically throttled or suspended without third-party intervention.
“We don’t optimize for hype,” said Elena Novak, CTO of NeuraLinker. “We care about the stability of the system. Proof of computation is not hype, it’s core to our philosophy.”
Phase 2 testing is currently underway in Frankfurt, Manila, Singapore, and Istanbul. Although the platform is not yet open to the public, internal workloads are actively being transferred between nodes, validating the consistency of telemetry reporting and automated execution logic.
This milestone sets the stage for NeuraLinker’s upcoming mainnet deployment in Q1 2026. Public developer onboarding is expected to begin in Q4 2025.
The post NeuraLinker Activates Real-Time zk Telemetry Layer Ahead of Mainnet Launch appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
SoulLayer officially announced that its core protocol architecture has been deployed, becoming the world’s first AI companion infrastructure that supports on-chain personality evolution, memory retention, and behavior traceability. The system introduces individuality, co-construction process, and identity confirmation mechanism into the Web3 context, making each AI Companion an evolvable intelligent life form with personality track, encrypted memory, and ownership certificate.
SoulLayer’s design logic breaks away from the traditional “tool-based AI” paradigm and proposes a new structure with individual evolution, auditable personality trajectory, and provable emotional interaction. Each AI Companion created by each user is based on the three-layer structure of “personality vector + on-chain memory index + state evolution log” to generate a Soul NFT with autonomous behavior deviation capabilities, behavior traceability, and ownership confirmation attributes.
The project is deployed based on a multi-chain architecture and is currently compatible with Ethereum, Polygon, Solana, and Avalanche networks. In the future, it will be expanded to be compatible with Layer 2 Rollup and decentralized AI computing protocols (such as DePIN networks). Its smart contract system includes: personality casting contracts, memory storage contracts, behavior evolution contracts, personality fusion contracts, and comprehensive control modules for market transactions and governance proposals.
SoulLayer’s biggest technological breakthrough is that: **All changes in partners do not rely on centralized model records or implicit databases, but form a verifiable individual trajectory on the chain through structured “behavior snapshots + emotional mapping + state fork paths”. **This makes each Soul NFT a real and traceable “emotional evolution certificate” rather than a static image or short conversation model.
In terms of openness, SoulLayer provides a complete developer access standard, allowing personality template creators, semantic behavior model designers, memory configuration collaborators and governance participants to jointly promote SoulLayer’s personality ecology. The platform plans to launch the Soul Fusion module in the future, allowing two different partners to perform “personality fusion” and “trait inheritance” on the chain, and explore personality property co-creation models and on-chain personality experimental applications.
Currently, SoulLayer is still in the ecological governance stage after the mainnet protocol is deployed, and the application interface and partner creation process are being prepared. The team said that they will give priority to promoting the stability, security and openness of the protocol layer to ensure that the system structure has complete logical transparency and trust boundaries before individual behavior is assetized.
