We are entering a new era where the ability to use and work with artificial and synthetic intelligence is a human right.
Access to intelligence, prerogative to innovate, work and benefit from higher levels of synthetic intelligence, belongs to people.
On the basis of an increasingly economical calculation, abundant data and low cost and open source models, we are about to witness a synthetic intelligence cornucopia.
We have to build infrastructure that supports the pluralistic development of AI. That is why we are starting the Thames Network, based in Oxford: a decentralized intelligent network to function on the edge, allowing private AI, resistant to censorship, depoliticized and decentralized through incorporated economic incentives and cryptographic tests.
“I have concerns about the concentration of power and loss of privacy to which AI is driving. It is essential for us to be thinking of strong technical solutions to this, such as Blockchain, “said the main scientist, Professor of Oxford, Philip Torr, asking for incessant progress in the decentralized AI, delivering the power of the people to people.
AI decentralization
What implies this market, protocol and open source incentives, open source for artificial and synthetic intelligence? It does not belong to a centralized, corporate (or state) model. The AI has changed from the center to the edge, and from now on it is becoming more decentralized.
Microsoft has just announced that distilled versions and Optimized Deepseek R1 will be available on PC, taking advantage of local processing, starting with Qualcomm Snapdragon X First, followed by Intel Core Ultra 200V and others. Users can interact with the new family of innovative models in a completely local way.
The neuronal processing units are specialized computer microprocessors designed to imitate the processing function of the human brain neuronal. NPUS, which will be presented on personal devices, offers a highly efficient set of capacities for models inference, unlocking the agent paradigm where generative AI can execute not only when it is invoked directly, but allow IE SERVICE AGENTS and continued-counts that he runs completely containing.
The movement towards decentralization is more than a technical update. It represents a fundamental change in the way we empower people. That means fostering the systems of AI oriented to collaboration, promoting innovation while safeguarding against centralized control traps, says Richard Sutton, widely recognized as the “father of reinforcement learning.” “Reinforcement learning, instead of large language models, has the key to advance in AI,” he said.
Democratizing
The Thames network democratizes access to AI with the first in the decentralized market, protocol and open source incentives layer.
The universal basic income, where citizens are offered recurrent payments to subsidize their life, is promoted by ia oligarchs, and especially Elon Musk, as necessary. This is not an approach to people first; This is a corporate approach first, and one that will eat the fabric of society. The best approach is to democratize access to AI and allow autonomy and sovereignty for the individual.
With a new intelligence substrate on the edge, and with a new economic model, a decentralized intelligent network would illuminate an ecosystem of agents who work in concert with humans. Instead of subsumating or replacing humans, this network will create new opportunities to democratize the collaboration of Human-AI.
Depolitization of AI
For artificial and synthetic intelligence to benefit humanity, it is imperative to be free of bias and be apolitical, without an implicit (or explicit) agenda. Censorship, railings and access limitations based on jurisdiction, price and other factors are not the way to create a future where humans and AI can collaborate effectively.
At the same time, privacy is key in domains such as medical care. A decentralized smart network must be designed with a first and designed privacy approach in a reliable base, ensuring a zero confidence security model, while balancing governance, risk and compliance.
What can begin with hundreds of thousands of models will become a massive wave of hundreds of millions of specific domain models, selected, distilled and increased through the generation of aquatic recovery (RAG). The Thames Network will provide the tools and an open market for people to build and monetize their domain experience, again with the focus on human collaboration-AI.
“We are all seeing that the digital world takes over our world through the Internet, collection and data exchange and the current AI increase,” says Bill Roscoe, director of the Oxford Blockchain Research Center. “The world really needs an altruistic development of the rules of digital civilization and an infrastructure to support and govern it in a truly collective way.” The Mission of the Thames Network is to ensure that privacy and collective governance remain at the forefront of technological evolution.
The convergence of decentralized computing, Blockchain tools and governance, the protocols and mechanisms of cryptographic incentives, and the specific domain AI models built and selected by human experts, indicates a future where artificial and synthetic intelligence becomes accessible , transparent, safe, abundant and collaborative.
The Thames Network, which we announced at the Oxford AI X Blockchain conference today, visualizes a winning world for humans and AI. Anything else would be an abdication of responsibility for us as technologists, engineers, researchers and economists.
