NATIX Token Launch

Decentralized Physical Infrastructure Networks (DePin) are reshaping the tech industry by facilitating decentralized projects in real-world infrastructure. Recent developments in the DePin sector include VanEck's $2.5 million investment in DAWN for decentralized wireless service, IoTeX's collaboration with the Blockchain Association for DePin political advocacy, Exabits securing $15 million in seed funding, and more. Exabits, an AI GPU tokenization startup, received $15 million in seed funding. By tokenizing GPU compute resources, Exabits has reached a $150 million valuation and experienced a 300% quarterly revenue increase. GPUs play a vital role in the DePin AI ecosystem due to the high computing demands of AI research. While companies like Aethir focus on GPU-as-a-service partnerships, Exabits offers a unique perspective that shows promise in the sector.

AI tokens are rapidly establishing their significance within the cryptocurrency market, yet comprehending their emissions strategies is essential for mitigating short-term risks. This article explores the tokenomics of several prominent AI projects and their forthcoming supply expansions, providing insights into how these changes may impact market dynamics. Bittensor's $TAO token is projected to experience a substantial 3.02% increase in circulating supply over the next month, translating to an additional $129.26 million in market value. This considerable emission could lead to heightened liquidity and potential selling pressure, prompting investors to closely monitor trading volumes and price fluctuations to gauge market appetite for the increased supply. In contrast, both $AKT from Akash Network and $AIOZ from AIOZ Network are set to expand their circulating supplies by more moderate percentages of 0.82% ($7.92 million) and 0.59% ($7.37 million), respectively. This measured approach aims to balance token dilution while maintaining a controlled release schedule, thereby minimizing market shocks. On the other hand, FetchAI's $FET and Render Network's $RENDER are adopting conservative supply expansion strategies, with $FET seeing a modest 0.30% increase ($14.15 million) and $RENDER planning a minimal 0.10% increase ($4.60 million). These strategies are crafted to safeguard token value by limiting supply-side inflation, particularly during volatile market conditions. Additionally, Virtual AI Agents distinguishes itself by maintaining a static token supply since its inception, with no planned emissions, thereby eliminating dilution risk entirely. This strategy, while stabilizing supply dynamics for token holders, may restrict growth incentives through future token releases. Understanding these diverse emissions strategies is vital for effectively navigating the AI token landscape and managing associated risks.

Solana has launched Decentralized Physical Infrastructure Networks (DePIN) Compute, a groundbreaking decentralized system designed to address the surging demand for computing power driven by the rapid expansion of artificial intelligence (AI). Traditional computing systems are struggling to meet this demand, but DePIN offers a novel solution by leveraging underutilized resources, akin to how Airbnb allows homeowners to share their vacant properties. This innovative approach enables users to monetize their idle GPUs, making them available for developers, researchers, and startups in need of computational resources. The functionality of DePIN Compute is straightforward: users can rent out their unused GPU power, creating a new income stream while optimizing resource utilization. This decentralized model is particularly beneficial for smaller developers and researchers who often find high-performance computing platforms financially prohibitive. By utilizing blockchain technology, DePIN Compute ensures a fast, cost-effective, and scalable method for sharing computing resources, ultimately democratizing access to advanced technology. The significance of DePIN Compute is underscored by recent investments, notably VanEck's commitment of over $10 million to the project, reflecting strong confidence in its potential. VanEck's prior backing of Solana has already contributed to a positive market response, including the filing for the first SOL-based Exchange Traded Fund (ETF) in the United States. As AI continues to evolve, initiatives like DePIN Compute are set to revolutionize how computing power is accessed and utilized, fostering innovation and enabling a broader range of individuals and organizations to benefit from cutting-edge technology.

In a significant move for the decentralized AI ecosystem, io.net has announced a partnership with Zerebro, a creative autonomous AI agent, to enhance Ethereum Validator operations. This collaboration will enable Zerebro to utilize io.net's scalable and geo-distributed GPU network, thereby boosting its computational power for Ethereum validation. The partnership aligns with io.net's mission to provide affordable and scalable GPU resources to AI startups, ensuring reliability and scalability in their operations. This initiative marks a pivotal step in integrating decentralized compute resources into the burgeoning field of AI and blockchain technology. Zerebro's Co-Founder, Agustin Cortes, emphasized the importance of this partnership, stating that access to decentralized GPU services will empower users to explore innovative AI applications and complex decentralized applications (DApps). He remarked, "Zerebro is at the forefront of bridging the AI and crypto future," highlighting the commitment to decentralization while fostering innovation. The collaboration is expected to facilitate the development of creative and scalable applications, allowing developers to harness the potential of decentralized compute networks for a variety of on-chain tasks. As Zerebro continues to develop its open-source framework, Zerepy, the focus on securing the Ethereum blockchain through Validator operations is paramount. The partnership with io.net not only aims to enhance Zerebro's core functionalities but also to create a sustainable future for autonomous AI agents. By leveraging io.net's GPU clusters, Zerebro can sustain operations and explore innovations such as large language models on decentralized networks. This collaboration signifies a promising future for the integration of AI and blockchain, fostering an environment that is both autonomous and decentralized, ultimately revolutionizing the landscape of AI agents in the web3 infrastructure.

In the evolving landscape of the internet, concerns about data privacy are at an all-time high. A recent MAGNA/Ketch survey revealed that only 5% of individuals feel completely secure regarding how companies collect and utilize their personal information. As we transition into Web3, a new paradigm is emerging that empowers users to regain control over their data. By leveraging blockchain technology alongside Privacy-Enhancing Technologies (PETs), Web3 not only enhances data security but also redefines the standards for privacy and transparency in data management. Decentralization is a key principle that enhances data privacy in Web3. Traditional methods of securing data often involve centralizing it in one location, which can create a single point of failure for malicious actors. In contrast, decentralized systems distribute data across multiple locations, making it significantly harder for attackers to exploit. Blockchain technology plays a crucial role in this transformation by providing a transparent and immutable record of transactions while ensuring that sensitive information remains protected off-chain. This dual approach fosters a more trustworthy environment for users, allowing them to verify data management practices without compromising their privacy. Web3 technologies also pave the way for innovative solutions that allow users to monetize their data while maintaining control over its usage. By utilizing smart contracts, individuals can establish clear rules regarding who can access their data and under what circumstances. This shift from being mere users to becoming data owners marks a significant change in the digital economy. With tools like iExec's Privacy Pass, users can earn tokens while keeping their personal information confidential. Ultimately, Web3 is not just about enhancing data privacy; it is about empowering individuals to reclaim ownership of their data and benefit from its value in a secure and transparent manner.

In a significant development for the AI landscape, io.net, a leader in decentralized physical infrastructure, has partnered with Mira Network, renowned for its trust-less AI output verification. This collaboration aims to enhance the speed, reliability, and scalability of AI validation by leveraging a decentralized network of GPUs. The partnership seeks to address the prevalent issues of inaccuracy and scalability that have hindered the broader adoption of AI technologies across various industries. By utilizing advanced AI verification techniques, the combined efforts of io.net and Mira aim to reduce error rates significantly, with goals to lower first-pass errors to under 5% and ultimately achieve less than 0.1% error rates in AI validation. As Mira Network integrates into io.net's expansive decentralized GPU infrastructure, it gains access to a global pool of computational power. This integration not only accelerates the validation process but also enhances operational efficiency, enabling Mira to scale its verification processes to meet the increasing demands of AI applications. Tausif Ahmed, Chief Business Development Officer at io.net, emphasized the importance of this partnership, stating that reliable, consistent, and unbiased insights are crucial for AI to realize its full potential. The collaboration is set to redefine accuracy in AI, showcasing the transformative power of decentralized computing. Furthermore, the partnership supports Mira's Node Delegator Program, which invites individuals and organizations to contribute their GPU resources for AI verification operations. Participants in this program will be rewarded for their contributions, promoting a decentralized and democratized approach to AI validation. Stone Gettings, head of growth at Mira Network, noted that this integration will accelerate AI adoption, highlighting that reliability and trust are essential for the future of AI. As the demand for dependable and scalable validation systems rises, this collaboration between io.net and Mira Network promises to make a lasting impact on the AI ecosystem.