Latest DePIN AI News

The cryptocurrency market is currently witnessing a significant surge in AI-driven coins, with IntelMarkets (INTL) leading the charge in presale success. This emerging coin has attracted considerable attention, raising over $1.1 million at a presale price of just $0.027. Market analysts predict a potential price increase of up to 1,000% in the coming months, highlighting the growing interest in AI technologies within the crypto space. Alongside INTL, Near Protocol (NEAR) and Bittensor (TAO) are also experiencing impressive gains, with NEAR trading at $4.99 after a notable recovery from a low of $3.25. This trend suggests a shift in market dynamics, with AI coins poised to challenge established players like Cardano (ADA). Cardano (ADA) is currently facing a downturn, struggling to maintain its value amidst a bullish market. The coin has seen a minor increase of only 3%, trading at $0.36, but has experienced significant fluctuations, dropping as low as $0.3434. The persistent red candles on the weekly charts indicate a bearish trend, with a monthly decline of 2%. As the market shifts towards AI-driven projects, Cardano's position may be threatened, prompting investors to reassess their strategies in light of these emerging competitors. The IntelMarkets platform aims to revolutionize cryptocurrency trading by providing retail traders with advanced tools and features designed to simplify decision-making. Utilizing a dual architecture on Ethereum and Solana blockchains, IntelMarkets leverages over 100,000 inputs to generate a single trade signal, enhancing the trading experience. As the demand for efficient and cost-effective trading solutions grows, IntelMarkets is well-positioned to capitalize on this trend, potentially reshaping the landscape of cryptocurrency trading platforms.

Meta has made a significant leap into the realm of AI video generation with the unveiling of Movie Gen, a cutting-edge tool designed to create high-quality videos and audio. This innovative platform allows users to engage in complex visual effects tasks such as environment replacement, character swapping, and object removal. Movie Gen not only matches the video quality of competitors like OpenAI's Sora but also enables users to upload their own images and integrate them into the generated content. The tool aims to democratize creative expression, providing opportunities for those who may not have access to traditional video production resources. At the core of Movie Gen are foundational models that utilize advanced techniques to generate 1080p HD videos and synchronized audio. The system is built on a Transformer architecture, employing flow matching during training to enhance performance. Meta's approach involves pre-training on extensive datasets followed by fine-tuning to ensure realistic outputs. The tool's capabilities include text-to-video generation, precision video editing, and the creation of personalized videos, making it a versatile asset for both amateur and professional creators. While still in the research phase, Movie Gen has already demonstrated impressive results in comparison to existing commercial systems. Meta's extensive training data and innovative training methods contribute to its superior performance. As the company collaborates with creative professionals to refine the tool, the anticipation for its public release grows. If successfully launched, Movie Gen could revolutionize the video generation landscape, challenging established players and opening new avenues for creativity in the digital space.

Artificial Intelligence (AI) has evolved into a crucial asset for organizations, with three-quarters now leveraging it to enhance innovation, efficiency, and growth. Analysts predict that by 2026, 80% of enterprises will utilize AI-enabled applications, significantly transforming various industries. The marketing and advertising sectors are at the forefront, using AI to secure a competitive edge. However, as AI becomes more prevalent, concerns regarding data confidentiality arise, particularly regarding the use of sensitive business and personal information in training AI systems. Ensuring confidentiality is vital not only for security but also for building trust and fairness in AI-driven decisions. The challenges of AI, often referred to as the "black box problem," highlight the need for transparency in AI systems. Users frequently struggle to understand how AI makes decisions, raising concerns about accountability and ethical standards. Privacy issues are compounded by the handling of personal data, and data sovereignty becomes a critical consideration, especially with cross-border data flows. As AI increasingly influences our lives, companies face the dual challenge of ensuring security while also finding ways to monetize AI applications without compromising user privacy. Confidential AI emerges as a solution to these challenges, emphasizing secure data handling and decision-making processes. At iExec, the focus on confidential computing ensures that sensitive data remains protected throughout the AI workflow. By utilizing blockchain technology, iExec enhances the verifiability and trustworthiness of AI processes, allowing stakeholders to track each step and verify results. This integration of Confidential AI with blockchain not only safeguards data but also provides a framework for monetizing AI applications while maintaining user privacy. As advancements continue in this field, the future of Confidential AI looks promising, with ongoing developments aimed at enhancing security, transparency, and ethical considerations in AI applications.

Bittensor, an artificial intelligence-focused cryptocurrency, has recently emerged as a significant player in the market, ranking as the third top gainer among the top 100 cryptocurrencies over the past 30 days. The token, known as TAO, has surged by an impressive 106.8%, bringing its market capitalization to over $4.79 billion. This rise is attributed to a broader trend in the AI sector, particularly influenced by Nvidia Corp's stock rally, which has seen a 15.4% increase in the same timeframe. As Nvidia's stock continues to soar, the AI-crypto market cap has also experienced a boost, now standing at $29.8 billion, according to CoinGecko. Institutional interest has significantly contributed to Bittensor's growth, with Grayscale, a prominent digital asset manager, launching a Bittensor-focused fund that attracted $4.9 million in assets under management. Grayscale's decision to increase its allocation to Bittensor from 2% to 31% in its AI fund has instilled confidence among investors, leading to increased adoption and investment in TAO. Additionally, the demand for Bittensor in the futures market has reached a record high of $220 million, indicating a surge in interest from traders and investors alike. Analysts are optimistic about TAO's future trajectory, with predictions suggesting a short-term target of $1,000 and a mid-term target of $3,330. Technical indicators support this bullish outlook, as TAO is currently trading above the 50-day Moving Average, indicating a potential continuation of upward momentum. The Relative Strength Index (RSI) remains steady above 60, suggesting that the bullish sentiment is still strong. However, analysts caution that the $650 mid-level serves as a crucial support level; a drop below this point could signal a shift in momentum, potentially leading to a downward trend.

The recent Theta Hackathon has concluded successfully, showcasing an impressive array of projects focused on AI, video, and gaming. This event highlighted the contributions of talented developers and teams who are dedicated to building a decentralized future for media and entertainment. Among the standout projects, TPLAY emerged as the winner of the Video/Rendering track. TPLAY is a revolutionary social network designed for sharing videos on the Theta Network, allowing users to upload or create AI-generated videos, engage in contests, and win exciting prizes. This platform not only transforms video content creation and sharing but also offers a unique blend of technology and creativity. TPLAY is more than just a video-sharing platform; it is a comprehensive ecosystem that empowers users to control their content. Users can securely upload and share videos, utilize decentralized storage solutions, and leverage advanced AI tools for video creation. The platform encourages user engagement through weekly contests where participants can win prizes based on audience interaction. Additionally, TPLAY offers interactive features such as liking, commenting, and sharing videos, along with real-time updates on contest standings and video processing, enhancing community engagement. The technical architecture of TPLAY integrates modern web technologies with the Theta Network blockchain, facilitating user interactions through decentralized wallets. The platform processes video uploads and manages blockchain interactions via smart contracts, ensuring secure token transactions and contest management. Future enhancements for TPLAY include the introduction of advanced AI tools for video editing, the establishment of a DAO for user-driven feature proposals, and a transition to a fully decentralized storage solution. Congratulations to the winning team for their innovative contributions to the Theta Ecosystem!

VanEck, a prominent asset management company, has recently announced the launch of a new venture capital fund named VanEck Ventures, with an impressive capital of $30 million. This fund is specifically aimed at supporting the growth and development of the cryptocurrency and artificial intelligence (AI) industries. VanEck Ventures plans to focus its investments on early-stage startups within these sectors, indicating a strong belief in the potential of innovative technologies that are shaping the future of finance and technology. The move by VanEck comes at a time when both the crypto and AI industries are experiencing significant growth and interest from investors. By establishing this fund, VanEck not only reinforces its commitment to these emerging markets but also positions itself as a key player in the evolving landscape of digital assets and AI solutions. This strategic investment approach may lead to the identification of groundbreaking projects that could redefine the boundaries of technology and finance. In light of these developments, ChainCatcher emphasizes the importance of viewing blockchain technology with a rational perspective. Investors are reminded to enhance their risk awareness and exercise caution regarding various virtual token issuances and speculative activities. The content shared by ChainCatcher serves as a reminder that all information provided is market-related and should not be construed as investment advice, urging readers to conduct their own research before making financial decisions.

Coinbase has announced that it will be adding support for the artificial intelligence-focused altcoin, io.net (IO), on the Solana (SOL) network. This addition marks a significant step for the decentralized physical infrastructure network (DePIN), which aims to leverage idle graphics processing units (GPUs) for machine learning (ML) and AI projects. According to Coinbase, trading for IO will commence on or after 9 a.m. Pacific Time on October 9th, 2024, contingent upon meeting liquidity conditions. The trading will be initiated in phases, and it is important to note that support for IO may be limited in certain jurisdictions. At the time of writing, IO is trading at $1.77, reflecting a decline of over 3% in the past 24 hours. With a market capitalization of $168 million, io.net ranks as the 295th-largest cryptocurrency project. The project aims to democratize access to computing power by aggregating over one million GPUs from independent data centers, crypto miners, and other crypto projects like Filecoin and Render. This initiative is particularly timely given the increasing demand for GPU compute resources driven by the rapid growth of AI and ML workloads. The io.net project emphasizes its mission to make computing more scalable, accessible, and efficient. Current major cloud providers possess approximately 10-15 exaFLOPS of GPU compute capacity. However, the anticipated demand for GPU compute in the cloud could surge to between 20-25 exaFLOPS, reflecting the escalating requirements for AI/ML model training and inferencing. As the cryptocurrency market continues to evolve, the integration of AI-focused projects like io.net could play a pivotal role in shaping the future of decentralized computing.

In recent developments, the demand for local large language models (LLMs) has surged as businesses and developers prioritize data privacy and control. Running LLMs locally allows users to keep their data on their devices, mitigating concerns associated with sending sensitive information to external servers. This article highlights six powerful tools that enable users to run LLMs offline, ensuring enhanced privacy and customization. These tools not only provide a secure environment for data processing but also offer flexibility in terms of model configuration and usage without incurring costs associated with cloud services. Among the notable tools is **GPT4ALL**, which is designed with privacy at its core. It supports a wide range of consumer hardware and allows users to run multiple LLMs without an internet connection. Key features include extensive model libraries, local document integration, and customizable settings for various parameters. Additionally, **Ollama** stands out for its ability to create custom chatbots locally, offering flexible model customization and seamless integration with applications. Both tools cater to developers looking for robust, privacy-focused solutions while maintaining ease of use and accessibility. Another noteworthy tool is **LLaMa.cpp**, known for its minimal setup and high performance across different hardware. It supports a variety of popular models and integrates well with open-source AI tools. **LM Studio** and **Jan** also provide user-friendly interfaces for running LLMs locally, with features that allow for customizable model parameters and offline functionality. Lastly, **Llamafile** offers a straightforward way to run LLMs through a single executable file, enhancing accessibility across various architectures. Together, these tools exemplify the growing trend of local LLM usage, providing users with the ability to maintain privacy while leveraging advanced AI capabilities.

StealthEX recently conducted an AMA session on X Spaces in collaboration with IoTeX, and we’re excited to share the highlights with you. Recap of Exclusive AMA: StealthEX and IoTeX Host: StealthEX – instant cryptocurrency exchange. Guest: Giuseppe, DevRel lead at IoTeX. Questions from Twitter: Q1: How will IoTeX’s infrastructure specifically contribute to the advancement of AI? What role does real-time data play in training those models, and how can it impact the accuracy and capabilities of AI agents? Giuseppe: IoTeX’s infrastructure plays a key role in advancing AI by leveraging the DePIN model, where individuals can contribute data or GPU power for AI model training. With our infrastructure, people can provide real-time data, which is essential for improving the accuracy of AI models. What makes IoTeX unique is that everything is verifiable on our Layer 1 blockchain, meaning that anyone can check the contributions and computations, ensuring that AI models are built on trusted data sources. This adds transparency and boosts the reliability of AI systems. Q2: As IoTeX transitions into version 2.0, what new tools, protocols, or frameworks are being introduced to enhance the experience of developers building DApps on DePIN infrastructure, and how will these changes impact overall ease of use and performance for end users? Giuseppe: IoTeX 2.0 brings all the individual components we’ve been building together into a cohesive infrastructure. This includes tools like wallets, bridges, and decentralized off-chain computation layers. The key here is modularity: developers can choose specific components that suit their project needs, making their applications easier to build and more scalable. For end users, this translates to better performance and a smoother experience since developers don’t have to reinvent the wheel and can focus on creating useful, composable DApps. Q3: With the launch of a web wallet, version 2 was highlighted as an all-in-one DePIN asset manager. What unique features does it offer that position it above other wallets in the DePIN space? Giuseppe: Our web wallet is unique because it’s specifically designed for DePIN assets. It serves as a hub where new DePIN projects can list their tokens, and users can trade these tokens across multiple chains like Ethereum, Binance Smart Chain, Polygon, and now Solana. We’ve built the wallet to be more than just a place for storage – it’s an entry point for DePIN projects and users to discover, interact with, and cross-trade assets. Additionally, we’re expanding its cross-chain capabilities, making it easier for people to interact with multiple ecosystems within the DePIN space. Q4: Can you explain the features of IoTube as a cross-chain bridge facilitating asset exchanges between IoTeX and major Layer 1 and Layer 2 blockchains? How does IoTube enhance interoperability and facilitate seamless asset transfers across different blockchain networks? Giuseppe: IoTube is our decentralized bridge that connects IoTeX with major Layer 1 and Layer 2 blockchains like Ethereum, Binance Smart Chain, Polygon, and now Solana. Its main feature is enabling seamless cross-chain asset transfers, which is critical for DePIN projects that want to expand their user base across multiple ecosystems. By bridging these chains, we ensure that projects aren’t confined to a single ecosystem but can interact with users and liquidity on other chains. We recently announced our collaboration with Solana, which is a huge step toward making IoTube one of the most interoperable bridges in the DePIN space. Q5: Can you elaborate more on the Halo Grants initiative and its tailored support for DePIN projects at various stages of development? How do these grants foster innovation, provide professional guidance, and drive forward projects within the IoTeX network? Giuseppe: The Halo Grants initiative has been around for a while, providing support for smaller DePIN projects that are just getting started. It’s perfect for teams of one to three people who have great ideas but need resources to get started. We also offer more support for larger projects through our Accelerator program, which helps teams scale up by offering marketing, technical, and community-building assistance. So far, we’ve seen a lot of success with projects launching their devices and tokens, and many are now preparing for their next rounds of funding. The goal of both Halo Grants and the Accelerator is to foster innovation and help these projects grow within our ecosystem. Q6: With the introduction of decentralized governance in IoTeX 2.0, how does the platform balance governance efficiency with decentralization, and what mechanisms are in place to prevent centralization of power within the ecosystem? Giuseppe: Decentralized governance has always been at the core of IoTeX. With IoTeX 2.0, we’ve taken this further by introducing a new DAO structure—what we’re calling the “Marshall DAO.” This DAO is designed to allocate funds and resources to DePIN projects that the community believes are promising. Governance efficiency is maintained through proposals and community voting, ensuring that power isn’t concentrated in a few hands. By enabling the community to participate in decision-making, we prevent centralization and ensure that the platform remains transparent and fair. Live Questions Q1: Can you explain how the modular architecture of IoTeX 2.0 supports the scalability and specialized needs of DePIN projects? How does it compare to other existing solutions in the market? Giuseppe: The modular architecture of IoTeX 2.0 allows projects to select specific components they need, like identity protocols or off-chain computation, which increases scalability. This flexibility is key to supporting projects with unique requirements while enabling composability—where different projects using the same modules can easily collaborate. Compared to other solutions, IoTeX’s modular approach offers greater interoperability between projects, which is crucial for scalability and growth. The modularity empowers developers to build on top of other DePIN projects and make use of shared resources, something that many other ecosystems don’t offer. Q2: Staking programs are very important for any project. Can I stake your token? Do you have any plans for a staking program? Giuseppe: Yes, staking has been available since we launched IoTeX in 2019, and it operates on a delegated proof-of-stake (DPoS) model. You can stake your tokens via stake.iotex.io and either become a delegate or vote for other delegates. We recently introduced liquid staking and passed a proposal that allows staking to be represented as NFTs, making it even more flexible. We currently have between 110 and 120 delegates, with the top 36 responsible for block production. It’s a great way to contribute to the ecosystem and earn rewards while securing the network. Q3: What have been the challenges this project has faced since 2019 after launch? Giuseppe: We’ve faced numerous challenges over the years. One major challenge has been educating people about the value of combining IoT and blockchain. In the early days, it was difficult to explain our vision for DePIN, and getting people to see the benefits of decentralized machine networks took time. On the technical side, building entirely new protocols like off-chain computation layers was also a challenge. There weren’t many existing templates to follow, so we had to push boundaries and innovate. Persistence and constant iteration have been our main strategies for overcoming these challenges. Q4: After all these challenges, what has been your strategy for overcoming them and moving the project forward? Giuseppe: The strategy depends on the challenge. For product-related challenges, we focus on market fit and user research, iterating as needed until we get it right. For narrative challenges, where people don’t yet see the value of what we’re building, we keep pushing forward with our vision until the market catches up. Each challenge has its own unique strategy, but persistence and the willingness to adapt are key. StealthEX: Thank you all for joining today! Recap of Exclusive AMA: StealthEX and IoTeX You can swap IoTeX (IOTX) crypto on StealthEX exchange platform. How to Buy IoTeX Coin? Just go to StealthEX and follow these easy steps: Choose the pair and the amount for your exchange. For example, ETH to IOTX coin. Press the “Start exchange” button. Provide the recipient address to which the coins will be transferred. Move your cryptocurrency for the exchange. Receive your coins! Follow us on Medium, Twitter, Telegram, YouTube, and Publish0x to stay updated about the latest news on StealthEX.io and the rest of the crypto world.

Black Forest Labs has recently launched Flux 1.1 [Pro], an advanced AI image generation model that follows the original Flux family, which includes Flux 1 Pro, Flux 1 Dev, and Flux Schnell. The new model showcases significant improvements in text generation capabilities, prompt adherence, and overall image quality. Notably, Flux 1.1 Pro has achieved the highest Elo score in the Artificial Analysis image arena, outperforming all other text-to-image models while maintaining impressive generation speeds. This model is priced competitively at $0.04 per image, making it a strong alternative to other paid services like MidJourney and Ideogram, which are notably slower and more expensive. Despite its advantages, Flux 1.1 Pro is a closed-source model, limiting users to access it through platforms like Together AI, Replicate, and Freepik. This means users cannot run it locally or customize it as they can with its open-source counterparts. However, some platforms offer free credits for initial generations, with Freepik being highlighted for its Mystic workflow that enhances image quality. While there are no announcements for an open-source version of Flux 1.1, Black Forest Labs appears to be concentrating on refining its offerings for image and video creators. In hands-on testing, Flux 1.1 Pro demonstrated satisfactory results, producing realistic images with improved prompt adherence compared to its predecessor. The model excels in generating detailed and aesthetically pleasing images, making it suitable for various artistic tasks. While it may not represent a generational leap, the enhancements in realism, spatial awareness, and overall consistency make it a compelling choice for users seeking quality AI-generated images. Overall, Flux 1.1 Pro stands out as a cost-effective and efficient option in the competitive landscape of AI image generation.