CMC Labs, Coinmarketcap’s exclusive Web3 accelerator program, selected the creative AI platform Sogni.ai for collaboration to explore the intersection of blockchain, AI, and digital creativity. Sogni is preparing to launch its Mainnet in the first quarter of 2025, and the strategic collaboration will promote growth and awareness of the platform, which operates where AI, blockchain, and creativity converge.
Sogni is on a mission to empower GPU providers and creators to enhance the decentralized creative economy. Its open-source model allows each user to contribute their CPU and GPU. Users contribute machine power in exchange for Web3 token rewards from the platform, and creators leverage the computing power to breathe life into their works. The platform offers users a decentralized infrastructure for AI-assisted creativity, enabling autonomous artistic expressions and rewards through the Supernet SDK, Sogni Studio Pro, and Sogni Pocket.
Sogni is currently in its third Testnet phase, which is the Supernet worker NFT licenses and AI model creator royalties. The fourth and last phase includes a token generation event and the final preparations for the Mainnet launch. $SOGNI will be deployed on Base Mainnet with a supply of 10 billion tokens.
A promising partnership
Coinmarketcap is the most-referenced price-tracking site for cryptocurrencies globally. It makes crypto efficient and discoverable by empowering retail users with valuable and unbiased information so they can draw the most accurate conclusions. It is a highly trusted source that compares thousands of cryptocurrencies, commonly cited by major news outlets including CNBC and Bloomberg. Even the US government uses its data for reports and research.
The partnership with CMC Labs will give Sogni access to invaluable resources, strategic mentorship, and direct networking opportunities in Web3. These advantages will help the platform expand its global presence, accelerate its growth, and solidify its status as a pioneer in blockchain-secured creative ownership, AI-powered digital art, and NFTs. By leveraging CMC Labs’ expertise and vast network, Sogni will contribute to AI-powered creativity that’s transparent, decentralized, and universally accessible. The collaboration is an endorsement, validating Sogni’s vision of a creative ecosystem native to Web3.
GPUs are the pillars of modern AI
The significance of allowing users to contribute their GPUs cannot be overstated. GPUs have become the workhorse of modern AI, allowing one to train and deploy multifaceted AI models that power everything from natural language processing to image recognition. Computationally demanding tasks form the core of AI, and GPUs’ ability to perform an immense number of calculations simultaneously renders them perfect for those tasks.
GPUs accelerate AI model training, enhancing AI capabilities and allowing developers and researchers to iterate on models faster. They train AI models by carrying out complex mathematical operations to adjust the parameters. The training process consists of inputting large data volumes and then adjusting parameters to minimize the risk of inconsistency between the actual data and the model’s predictions.
GPUs also play a crucial role after an AI model is trained. At this stage, it must be executed to make predictions on new data, usually in real time. Their ability to solve complex problems rapidly allows AI-powered applications to respond to user requests faster. They are key to unlocking AI models’ real-time capabilities, whether it’s a chatbot providing an instant response or a self-driving car making lightning-speed decisions.
The next stage of AI-powered creativity: Decentralized and transparent
Decentralized AI uses blockchain technology to spread data processing, storage, and control throughout a node network, ensuring data integrity and protecting its ownership. The distributed network handles design specifications, user preferences, artistic styles, and other forms of creative input. Creative businesses can process art, design, and media-related data locally without relying on a single centralized authority. Decentralized AI also helps generate customized output, allowing artists to create works with high precision.
Perhaps more importantly, they can create without intermediaries controlling or affecting their product. This autonomy facilitates greater freedom of expression. Decentralized AI leaves creative decisions to the artist but provides customized support. Whenever possible, easier-to-interpret models like linear regression or decision trees should be used. SHAP (Shapley Additive Explanations) and LIME (Local Interpretable Model-agnostic Explanations) can show how inputs affect outputs in complex models like deep learning. The SHAP technique is used in decentralized AI, particularly in federated learning, multi-agent systems, and blockchain-based AI.
Platforms must maintain comprehensive documentation of the process of developing models, including feature selection, data sources, assessment metrics, and training procedures. This transparency helps stakeholders grasp the model’s functions and shortcomings.
Finally, they should present model results and decision rationales accessibly. An example is using summary reports and visual aids to clarify complicated models to stakeholders who lack technical expertise.
