Overview
Hyperspace AI is a decentralized artificial intelligence network that uses Distributed Hash Tables (DHTs) and integrates Active Inference with the Spatial Web. This project is important because it aims to enhance transparency in AI processes, handle novel situations effectively, integrate AI into society, and establish frameworks for ethical, robust, and lawful AI. It is particularly focused on creating a future where AI is seamlessly integrated into our lives, helping us navigate the complexities of the world and potentially aiding in global crises.
Hyperspace AI is not on any specific existing blockchain. It is planning to become an AI-native Layer 1 blockchain, incorporating a novel AI virtual environment into its roadmap for 2024. Currently, it operates as its own decentralized network, emphasizing the importance of keeping AI decentralized to prevent power consolidation.
Regarding its narrative or category, Hyperspace AI is part of a unique visual experience that combines AI, music, and science to create a hybrid visual album in collaboration with musician Beck and NASA. This project falls under the categories of Artificial Intelligence in Art and Science and Technology in Art, as it merges AI with music and real NASA data to create an engaging visual experience. However, the answer was cut off, and further research would be needed to provide a complete categorization of Hyperspace AI within the crypto and blockchain space.
Use Case
The project’s use case for Hyperspace AI revolves around the development and implementation of decentralized artificial intelligence systems. It aims to ensure that the power of AI is distributed widely to prevent consolidation in the hands of a few. The project focuses on decentralizing AI inference across various servers, including those provided by consumer devices, to create a distributed AI infrastructure. This approach helps organizations comply with complex regulations and reduces costs associated with compliance. Moreover, Hyperspace AI supports real-time AI through networking multiple AI applications, which helps in providing accurate and updated AI outputs. The project also integrates blockchain technology to democratize AI infrastructure and reduce the risk of AI models ‘hallucinating’ by constantly updating their world model with real-time data.
Hyperspace AI needs to exist because it addresses several challenges in the AI field, especially concerning regulatory policies that could impede AI technology’s innovation and accessibility. The project promotes AI decentralization to maintain its functionality and growth. It was developed in response to regulatory policies in the US that govern AI, particularly large language models, which were seen as a threat to innovation and open-source projects. Hyperspace AI leverages peer-to-peer network principles for distributed model inference, creating an efficient and resilient AI ecosystem. It includes mechanisms for network integrity, such as fraud proof and a challenge model, and an economic structure that incentivizes participants to operate with integrity. The protocol encourages the sharing and exchanging of computational resources, fostering an equilibrium of computation exchange similar to BitTorrent’s “tit-for-tat” approach.
Adoption
Hyperspace AI is still in the early stages of development. It has a vision of creating a world with millions of community Large Language Models (LLMs) that are freely usable by billions of people every day. This indicates that while the project may not have significant traction yet, it is actively working towards a substantial goal. Further research would be required to determine the current level of user engagement and adoption.
Hyperspace AI does have an ecosystem built around it, which includes Hyperspace Community Servers (HCS) that act as orchestrators, oracles, and sequencers within the protocol framework. The ecosystem is designed to promote the open participation of nodes, which contribute to AI model inferences and are incentivized through a cryptocurrency reward system.
The available information does not specify any partnerships for Hyperspace AI. However, the nature of the project suggests that it is open to collaboration, and partnerships could be part of its strategy to expand and integrate with other systems in the future.
While specific user numbers are not provided, Hyperspace AI aims to serve a large number of users by making LLMs accessible to a wide audience. The project’s focus on Active Inference and convergence with the Spatial Web Protocol and Hyperspace Modeling Language indicates that it is building a platform for widespread use.
There is no available information about the total value locked (TVL) or capital deposited into Hyperspace AI’s protocol. This suggests that the project might not have reached the stage where it is managing significant amounts of capital, or this information is not publicly disclosed or readily available at this time.
In conclusion, Hyperspace AI is a project with ambitious goals for decentralizing AI and making it accessible to a broad user base. It has an ecosystem designed to support these goals, but specific details on traction, partnerships, and financial metrics like TVL require further research or may not be publicly available at this time.
Team and Investors
The team behind Hyperspace AI consists of individuals with diverse backgrounds and expertise:
- Max Nigri: Co-founder and CEO of Hyperspace AI, with a computer science background and experience in the chip industry. He has taught computer science and worked at global companies before co-founding Hyperspace AI. His venture into an AI-powered search database that is faster and more cost-effective demonstrates his commitment to innovation in the AI space.
- Oren Schor: Senior Associate at Jerusalem Venture Partners (JVP), with over 10 years of experience in the tech and startup industry. His involvement with Hyperspace AI indicates his expertise in venture capital and his interest in real-time AI-powered solutions.
- Moti Elkaim: Founder of Atlantic Brands, focusing on branding strategies. He contributes to Hyperspace AI with his insights on real-time search results and branding, as well as his experience in investor pitching and AI trends.
- Amit Shrim: An analyst and corporate finance specialist with a history in the finance industry. He is a Search Enthusiast at Hyperspace AI, where he contributes to the development of their AI-powered search database.
These team members are doxxed, as their names and associations with Hyperspace AI are publicly available. Their backstories and experiences span from computer science education, chip industry work, venture capital, branding strategies, to corporate finance. The team’s talents are reflected in their diverse professional backgrounds, which bring together expertise in technology, finance, and business strategy.
Regarding their qualifications, the information provided does not mention any specific inventors or PhDs on the team, but their roles and experiences suggest a high level of skill and knowledge in their respective fields. The team appears to be well-rounded and capable, with a strong foundation in AI, venture capital, branding, and finance, which are essential for driving the Hyperspace AI project forward.
Launch
There is no specific information available about the expected launch date for the Hyperspace AI project. The details regarding the launch are not publicly disclosed based on the current search results.
At the launch of Hyperspace AI, the project is expected to outline the specifications for the AI models that the inference nodes will support, implement a fraud-proof mechanism, and introduce a challenge model to ensure the accuracy of AI models on the network. However, the exact details of the events taking place at launch are not available in the search results.
There are no public details available from the search results about the project launching a token. The project aims to introduce a dual native token system with IO and IOSD tokens, but the date of the token launch is not specified.
The use case of the token within the Hyperspace AI ecosystem is presumed to involve exchange or reward mechanisms for contributors to the decentralized network, although specific use cases are not detailed in the search results.
Information regarding the tokenomics at launch, such as total supply, distribution, and allocation, is not provided in the search results.
In conclusion, the details surrounding the launch date, events at launch, token launch specifics, use cases, and tokenomics for Hyperspace AI are not fully disclosed or available through the search and perplexity tools at this time. Further research or official announcements from the project would be required to obtain this information.
Summary
Hyperspace AI is an innovative project aiming to decentralize artificial intelligence and integrate it into society in a transparent, ethical, and lawful manner. It is not tied to any existing blockchain but plans to become an AI-native Layer 1 blockchain. The project’s use case focuses on distributing the power of AI, ensuring compliance with regulations, and fostering a resilient AI ecosystem. While still in early development, it has a vision of widespread adoption and has built an ecosystem to support this goal. The team is composed of experienced professionals with diverse expertise. Details on the project’s launch, token, and tokenomics are not fully disclosed, indicating that further information is awaited.
