Roam Collaborates with Mojo GoGo to Enhance X Promotions with AI Tool

Barry Silbert, the founder of Digital Currency Group (DCG), has launched Yuma Asset Management, a new fund aimed at investing in artificial intelligence (AI) networks, particularly focusing on the Bittensor platform. Initially seeded with $10 million, Yuma is designed to support early-stage teams developing decentralized AI infrastructure. Silbert expressed a renewed excitement about the potential of Bittensor, stating that it represents a significant utility in AI, distinguishing it from what he terms as speculative "AI pretenders." The fund aims to provide institutional investors with structured exposure to the convergence of crypto and AI technologies. Silbert's enthusiasm for Bittensor is rooted in its ability to deliver practical applications, such as BitMind, a tool that identifies deepfake images. This focus on utility serves as a counterpoint to numerous crypto projects that he believes lack substantive technology and are merely capitalizing on the AI hype. Yuma's fundraising strategy is tailored for high-risk investors, targeting wealthy individuals and institutions willing to embrace the potential for total loss in exchange for the chance of monumental gains. The fund's structure is designed to appeal to institutional capital, with comparisons being drawn to established market indices like the Nasdaq and Dow Jones Industrial Average. The launch of Yuma comes at a pivotal moment following a tumultuous period for DCG, which has faced regulatory challenges, layoffs, and fraud allegations in the wake of the FTX collapse. This strategic move not only signifies Silbert's return to the forefront of the crypto landscape but also reflects a broader shift in the crypto-political climate post-presidential election. With Bittensor's market valuation currently around $3 billion, Silbert's ambition for Yuma appears to be both bold and calculated, aiming to harness the potential of AI in the evolving crypto ecosystem.

The recent 48-hour internet shutdown in Afghanistan has raised significant concerns regarding the vulnerability of decentralized technologies, particularly blockchain. This blackout, which affected approximately 13 million people, revealed a critical weakness: the reliance of blockchain networks on centralized internet service providers. While blockchain is designed to facilitate secure and censorship-resistant transactions, the outage highlighted how interruptions in internet connectivity can severely impact its functionality. This situation underscores the urgent need for alternative internet infrastructure solutions that can support blockchain operations even when traditional providers are unavailable. On October 1, 2025, the Taliban administration ordered a near-total internet blackout, which was later attributed to technical issues with fiber optic cables. However, the timing and scale of the disruption raised alarms about potential censorship and government control over internet access. The event not only disconnected millions from the digital realm but also disrupted numerous blockchain activities, revealing a significant challenge for decentralized networks. The incident serves as a stark reminder that while blockchain technology holds the promise of censorship resistance, it remains vulnerable to external disruptions. In response to the Afghanistan blackout, advocates for decentralized connectivity are calling for solutions that ensure blockchain networks can operate independently of centralized internet providers. Projects like Roam Network are at the forefront of this movement, aiming to create decentralized wireless networks powered by user contributions. By leveraging crowdsourced data on mobile signal strength, Roam seeks to provide reliable internet access even during outages. Other initiatives, such as World Mobile and Helium, are also working to establish large-scale decentralized networks that reduce reliance on centralized infrastructure. The urgency of developing these solutions has never been clearer, as the potential of blockchain technology hinges on the availability of a decentralized internet backbone.

In a groundbreaking collaboration, the Berkeley Environmental Air Quality and CO₂ Network (BEACO2N) has partnered with WeatherXM to enhance urban emissions monitoring in the San Francisco Bay Area. Urban areas are significant contributors to global greenhouse gas emissions, yet understanding their variability remains a challenge. BEACO2N has been at the forefront of providing dense, low-cost air quality monitoring, but the lack of high-resolution weather data has hindered the interpretation of emissions dispersion at the neighborhood level. This partnership aims to fill that gap, offering researchers and policymakers a clearer view of urban emissions, air quality, and environmental justice issues. The challenge lies in the absence of fine-grained meteorological data that complements BEACO2N's continuous monitoring of pollutants like CO₂, CO, O₃, and NOₓ. Conventional weather networks often overlook vulnerable neighborhoods, leading to a lack of crucial data for emissions inventories and public health alerts. In cities like San Francisco, where complex wind flows and microclimates interact with traffic and industrial zones, understanding pollution patterns without weather context is nearly impossible. WeatherXM addresses this issue by deploying a decentralized network of community-powered weather stations, providing real-time data on temperature, humidity, and wind conditions, which are essential for interpreting pollutant behavior. The integration of WeatherXM’s meteorological data with BEACO2N’s air quality monitoring creates a multidimensional perspective on urban emissions. This synergy allows researchers to analyze how pollutants accumulate or disperse due to various factors, including local heat islands and traffic patterns. The decentralized nature of WeatherXM also facilitates rapid data transmission, enabling public health officials to respond swiftly to transient pollution events, such as wildfire smoke. This collaboration not only enhances scientific understanding and public health responses but also empowers local governments and communities with actionable data, paving the way for smarter, more equitable urban planning and climate policies. As cities worldwide face climate and air quality challenges, this case study serves as a blueprint for integrating community-level meteorological and atmospheric data to foster resilience and justice in urban environments.

In a recent analysis by Phoenix Group and LunarCrush, Chainlink (LINK) has emerged as the leader in social engagement among decentralized physical infrastructure network (DePIN) projects. With a remarkable 15,200 engaged posts and 3.6 million interactions within a 24-hour period, Chainlink significantly outperformed its competitors, showcasing a vibrant community discussion around its protocol. This high level of engagement not only cements Chainlink's position at the top but also reflects the growing interest in decentralized infrastructure solutions. Following Chainlink, Bittensor (TAO) secured the second position with 9,700 posts and 876,800 interactions, indicating strong community momentum despite being far behind Chainlink. The Internet Computer Protocol (ICP) rounded out the top three with 4,200 posts and 300,600 interactions, demonstrating steady traction among its user base. Other notable projects like Arthera (ATH), which recorded 3,000 posts and 475,700 interactions, also showed significant community response, highlighting the diverse engagement levels across the DePIN landscape. The rankings also featured smaller projects such as Grass and Dione, which, despite lower posting activity, managed to attract considerable interactions, indicating a growing interest in emerging networks. The data underscores a trend where social metrics are becoming essential indicators of project momentum, as they reflect how well these projects resonate with their communities. As the DePIN sector continues to evolve, the increasing engagement from both established and emerging tokens suggests a vibrant future for decentralized infrastructure initiatives.

At the recent Token2049 Singapore event, a significant milestone was achieved in the realm of artificial intelligence with the launch of the Real-World AI Foundry. This initiative, spearheaded by IoTeX and a coalition of leading partners, aims to create an open ecosystem dedicated to developing Real-World Models (RWMs). Unlike traditional AI systems that rely on static historical data, RWMs are designed to utilize live, verified data from various sources such as machines, sensors, and people. This innovative approach promises AI that not only predicts outcomes but also perceives, adapts, and acts responsibly in real-world scenarios. The Real-World AI Foundry is supported by a diverse group of Alignment Partners, including notable names like Vodafone, Blockchain Association, and Filecoin, among others. These partners are committed to establishing shared standards for Real-World AI, focusing on governance, data standards, and deployment frameworks. The initiative is guided by three core principles: grounded in verified data, open to contributions from anyone, and human-centered to ensure accountability and societal benefits. This collaborative effort aims to create RWMs that evolve continuously with real-time data, making them essential for industries where accuracy and adaptability are crucial. As AI technology increasingly integrates into critical sectors, the need for dynamic and trustworthy systems has never been more pressing. Raullen Chai, Co-Founder and CEO of IoTeX, emphasized that AI must transition from static predictions to dynamic actions that are rooted in reality. The Real-World AI Foundry represents a collective endeavor to bridge this gap, fostering collaboration among data providers, infrastructure operators, and researchers. By doing so, it aims to accelerate innovation and create universally trusted AI solutions that align with human values and needs, marking the dawn of a new era in artificial intelligence.

Aethir, a leading provider of decentralized AI compute, has announced a significant partnership with Predictive Oncology, a pioneer in AI-driven drug discovery. This collaboration will see Predictive Oncology amass a strategic compute reserve of $344.4 million, specifically designed to acquire and stake ATH, Aethir's network token. The initiative, led by DNA Fund and supported by BTIG, marks a groundbreaking moment as it is the first instance of a Nasdaq-listed company actively managing tokens from a decentralized physical infrastructure network. This move aims to address the GPU shortage that has been hampering scientific advancements across various fields, including pharmaceutical research and climate modeling. The partnership is expected to enhance Predictive Oncology's capabilities in training AI models that analyze extensive genomic and patient datasets. The high costs and limited availability of centralized cloud providers have made it difficult for companies in oncology to access the necessary high-performance compute resources. Raymond Vennare, CEO of Predictive Oncology, emphasized that this partnership not only solidifies their core business but also opens up new growth opportunities through their digital asset treasury strategy. DNA Holdings Venture, Inc. will act as the strategic advisor for this initiative, connecting institutional capital with Aethir's GPU infrastructure. Aethir's decentralized marketplace is designed to source and manage enterprise-grade GPU supply, offering significant cost savings compared to traditional providers. With over $150 million in verifiable annual recurring revenue, Aethir has already delivered 1.16 billion compute hours, demonstrating its capacity to drive faster AI innovation and democratize access to GPU resources. By accumulating and staking ATH, Predictive Oncology aims to bolster the security and decentralization of the Aethir network, allowing institutional investors to engage in its growth without direct token custody. This partnership not only highlights the potential of decentralized infrastructure in AI but also sets a precedent for future collaborations in the field.