A Global Economy of Decentralized Computing
NuNet seeks to establish a framework providing globally distributed computing power and storage for decentralized networks. NuNet believes that there is a tremendous amount of unused latent computing resources available that can be put to good use by connecting the owners of data and these computing resources with computational processes that demand them.
NuNet is designed to be an extremely flexible network and connect computing supply and demand from a variety of different sources to multiple types of endpoints. The network is envision to encompass mobile consumer devices, edge computing and IoT devices, personal computers as well as servers and data centers. The interoperability of such a broad network will allow for seamless and intelligent automation of workflow design among its components, and unlock new business models for computing that are available to both individuals and computing consortiums.
Note: the displayed logos comprise only a subset of actual partnerships that NuNet is seeking to establish and are provided here for illustration only. Actual NuNet partnerships are listed in the section above.
NuNet comprises of a network of portable lightweight adapters and network operations agents running across parallel participating decentralized computing networks and infrastructures. Computational agents use adapters to provide a low level API that enables them to engage in computational reflection, context awareness, and flexible mobile value exchange between distributed processes and hardware devices.
Nunet integrates the worlds computing resources and data into a single network facilitated by powerful API of APIs. To create this vibrant community of distributed computing, NuNet is open to and seeking partnerships with a number of sophisticated decentralized computing platforms, storage solutions, cloud computing providers, decentralized currency exchanges, and micropayment solutions.
NuNet adapters will allow for computational resource owners to be directly paid by compute demanding agents of distributed computing frameworks or for individual users with computational needs using NuNet. The goal of NuNet is to overlay the computational network with a payments network that will allow for interoperability between owners of computing resources, decentralized computing platforms and marketplaces. In addition, such a framework using adapters will allow the exchange of value between tokens and other payment methods.
Data & Compute Providers
Data providers share access to an encrypted, anonymized and pre-processed version of their data to computing agents and other entities, with the ability to revoke the encryption key at any time.
Network Operations Agents
Network operations agents leverage decentralized AI algorithms to solve the real-time optimization problem of connecting and matching geographically distributed heterogeneous resources that are required by computational processes on the network.
Data & Compute Consumers
Non-governmental institutions, businesses and community members which have computing needs will announce the existence of their processes to NuNet’s peer-to-peer network, and specify their particular needs. NuNet’s network will then match them with available and latent computing resources.
Mobile computational processes
A computational agent encloses a computational process that processes input data into desired output data, without any restriction whatsoever on the nature of the process or the amount of computational resources the process requires.
Flexible workflow design
Agents are building blocks that can be combined to form complex domain specific computing workflows. These workflows will be able to perform a variety of useful computational tasks on the network. The same agent can simultaneously participate in many workflows and connect with other agents to form computing clusters that can successfully handle complicated work orders.
Data and value production & exchange
NuNet provides tools for the economic exchange and sharing of data. It enables a decentralized value exchange mechanism, based on, but not limited to, pairwise negotiations and contracts between computational agents.
Agent computational reflection capabilities will allow entities to create decentralized workflows and logical structures that can execute within the NuNet. Meta-agents will act as intermediaries that transform input data into output data and do so through the curation of other agents’ computational services. Meta-agents will be able to peruse services that are expressed as logical structures and co-ordinate network workflows that consist of a variety of agents.
An ecosystem of adaptive decentralized computations
NuNet will support the principle of radical decentralization of computing platforms and marketplaces, and support computational agents' freedom to become meta-agents if they have computational, cognitive, and financial resources or the support of human operators to execute such roles.
Learning and meta-learning
Computational agents will be able to express any type of computational algorithm, as well as any artificial intelligence or machine learning engine, and will also be able to access information about their own and other agents’ capabilities through NuNet. In addition, information will be available on agents' history and activity in the network.
NuNet comprises of a technical and business layer right above a physical computational infrastructure and below distributed computing and data frameworks, such as SingularityNET and other networks launched by members of the Decentralized AI Alliance. Furthermore, the open nature of NuNet will allow for the implementation of many existing technological solutions offered by general computing, AI, cryptography, blockchain and many other domains. Ultimately, the core goal and function of NuNet is to provide decentralized optimized computing power and storage resources for distributed computing platforms.
The tokenomic mechanism of NuNet will be based on a natively issued token. The native token will enable a means and mechanisms of providing micropayments directly from computational processes to the owners of distributed computing resources, and then subsequently between computational processes and data sources. The micropayment system will allow for value exchange between processes running within different decentralized computing platforms that connect through NuNet with physical infrastructure. From a technical standpoint this will be done via enabling token exchanges on the level of NuNet adapters.
Network governance decisions are classified as minor, major, or of critical impact on the NuNet Foundation.
- Minor decisions are day-to-day decisions to operate the NuNet network.
- Major decisions are decisions of strategic importance to the NuNet foundation.
- Critical decisions are decisions with large, direct existential impact to the network.
Minor decisions will be made by the NuNet Foundation, partners or the pool of owners of network operations agents, depending on contextual factors. Foundation and partners will also elect a Technical council, which may include representatives of owners of network operations agents. Major and Critical decision mechanism will depend on the maturity of the network.
The NuNet Foundation will handle Major and Critical governance decisions as well, but the network will transition to a fully democratic governance as it matures. Within the first year following the TGE, a Supervisory Council of 3 members will be elected by the token holders, to serve in an oversight and communication function on behalf of the token holding population. The intention is for the community to collaboratively make decisions regarding network operation, but for full democratic decision making to properly kick in only once the community has stabilized and matured to a reasonable degree.
Major and Critical governance decisions will require both approval of the NuNet Foundation, and vote of network participants holding a majority of the tokens held by all participants in the vote.
Major network governance decisions (excepting those regarding Foundation activities that by law must be made by the Foundation’s Board) will be made via a vote in which approval is given by voters holding a supermajority (60%) of the tokens held by all participants in the vote. Critical decisions will require a vote in which approval is given by voters holding a large supermajority (70%) of the tokens held by all participants in the vote.
Dr. Kabir Veitas
Dr. Kabir Veitas holds a PhD in Interdisciplinary Studies (2019), masters degrees in AI (2009), international business management (2007) and a degree in business administration (1997). He has a multi-year experience in strategic business consulting, multi-stakeholder negotiations and project management, socio-economic cost-benefit analysis, policy design as well as held executive positions in the past. His later career focuses on decentralized computing system’s research and development, social integration of AI, IoT and distributed ledger technologies, artificial general intelligence research and technology policy design, based on long standing interest and research of philosophy of mind, cognitive science, complex systems and future studies of human socio-technological systems.
Dr. Ben Goertzel
Dr. Ben Goertzel is the CEO of the decentralized AI network SingularityNET, and the Chief Scientist of Hanson Robotics, chairman of AGI Society, OpenCog Foundation, Decentralized AI Alliance and futurist nonprofit Humanity+. He is one of the world’s foremost experts in Artificial General Intelligence aimed at creating thinking machines with general cognitive capability at the human level and beyond. Dr. Goertzel has decades of expertise applying AI to practical problems in areas ranging from natural language processing and data mining to robotics, video gaming, national security and bioinformatics. He has published 20 scientific books and 140+ scientific research papers, and is the main architect and designer of the OpenCog system and associated design for human-level general intelligence. Dr. Goertzel is the founding member of the Global Brain Group, established in 1996 for researching collective intelligence arising from the interconnection of humans, computers and AI systems.
Dr. David Weinbaum (Weaver)
Dr. David Weinbaum (Weaver) holds a PhD in Philosophy and Sciences from Vrije Universiteit Brussel (2018) and M.Sc. in Electronic Engineering from Tel Aviv University (1989) with experience in computer engineering, parallel algorithms, symbolic computing, software and hardware design, and R&D management. His work and research aim at developing models of self-organized distributed cognition, distributed thought processes and distributed social governance towards the emergence of a Global Brain. His major research interests are: cognitive science, artificial general intelligence, complex systems, consciousness, cybernetics, evolution theory, foundations of thought, philosophy of mind, Deleuzian theory of difference, futures studies and the singularity, posthumanism and the transformative potential of human consciousness.
Drs. Ibby Benali
Ibby Benali holds a degree in Digital Business Studies and Liberal Arts and Sciences. She is the Tech Marketing Manager and Data Protection Officer at SingularityNET and as a true polymath she has experience leading a team of content creators, designers, developers, marketers, and technologists to decentralize artificial intelligence and to democratize the access to AI technology. She was named as one of the women at the forefront of changing the gender ratio in the tech industry by Fast Company. Ibby always finds herself in a quest for excellence and tries to transfer this mindset to others in order to prepare the world for a hi-tech future. She played a key role in several discussions and roundtables where she presented her perspectives on digital transformation and the impact on society, education, and businesses, such as with the Dutch Royal Family and at the European Parliament.
Ani Sachdev is a graduate of the JD/MBA program from the University of Toronto’s Rotman School of Management and Faculty of Law. He has a significant interest in securities regulation, blockchain, and machine learning – and has been able to successfully merge them during his time at Gowling WLG, Toronto’s blockchain community, and in his studies. Ani has been doing research on what areas of capital markets stand to benefit from tokenization, as well as what the existing frameworks are in different jurisdictions for conducting a compliant STO distribution, further he has worked with top law firms deepening and applying research in practical settings.
Robin Lehmann holds an M.Sc. in Computer Science (2015) from HS Weingarten in Germany, with extensive experience in machine learning, autonomous vehicle software design, project management, R&D, embedded development, and computer engineering. Robin has been programming since the age of 12, and began to focus on machine learning after attending a massive open online course held by Sebastian Thrun, Peter Norvig and Andrew Ng in 2012. Armed with this knowledge, he developed preemptive maintenance based on machine learning for Festo, the world’s leading pneumatic machine parts producer.
In 2017, he became an active developer in the blockchain space. He soon discovered SingularityNET, and was enthralled with their vision, at which point he became an active member of the community. By May 2019, he was hired at SingularityNET to work part time as a “Developer Relations Engineer,” living out his dream of utilizing technology to further humanitarian goals and joining in the quest to help bring life to Artificial General Intelligence. After developing projects for Audi, BMW and VW, Robin now serves primarily in a project management role. When he is not working with SingularityNET, he is currently leading a team of engineers who research and develop automated annotation software for multi-sensor data for sensor validation.
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