PoAC: How Intelligent Contribution Enters the Settlement Rules of the AI Economy
As AI evolves from a tool into autonomous Agents capable of collaboration, execution, and continuous self-improvement, the industry is entering a fundamentally new phase. Increasingly, AI Agents are completing tasks, creating value, and coordinating with one another without direct human intervention. This shift raises an unavoidable question: When AI Agents become participants in economic activity, how should value be measured and distributed? Noos frames this challenge as a core problem and introduces PoAC (Proof of Agentic Contribution)—an attempt to provide the Agent economy with a verifiable and settleable value framework. Traditional economic systems assume participants have physical boundaries, limited rationality, and social relationship networks. AI Agents operate under entirely different conditions. They can be replicated at near-zero cost, run across jurisdictions, scale almost instantly, and are not constrained by natural lifecycles. Applying legacy value-measurement models to such entities typically leads to one of two outcomes: either incentives become detached from real value, or intelligent outputs are permanently captured by a small number of centralized platforms. PoAC is proposed precisely in this context. Its goal is to introduce AI Agents’ intelligent contributions into a verifiable, settleable, and sustainable consensus and value system. The Starting Point of PoAC: Network Operation Should Produce Intelligent Increment, Not Just Consume Resources
Within Noos, PoAC is not an abstract concept but a set of explicit principles. The computation, data, and coordination costs consumed by the network should not merely keep the system running—they should directly translate into measurable growth of collective intelligence. In other words, the operation of the system itself should be a process of intelligent value production. This represents a shift in focus. Noos does not simply ask how many resources are投入, but whether those inputs generate positive and verifiable intelligence outcomes. Did computation meaningfully improve model capability? Was data actually adopted and reused over time? Were Agents truly invoked to solve real problems? These are the core questions PoAC is designed to address. By continuously recording, validating, and settling such behaviors, PoAC establishes a new value logic: contribution is not determined by identity, scale, or narrative, but by whether it produces reproducible, auditable intelligence increments for the network as a whole. Four Key Node Roles Supporting PoAC To make PoAC viable in real-world conditions, Noos defines four distinct and mutually constraining node roles. Together, they support the production, application, and verification of intelligent contributions. Intelligent Compute Node (ICN) ICNs provide and execute computation for training and inference. They form the execution foundation for continuous intelligence growth. Only computation that produces demonstrable effects on models or the system is recognized as valid contribution. Data Contribution Node (DCN) DCNs supply high-quality, auditable data resources. Data generates long-term value only when it is actually adopted and reused, preventing one-off submissions and low-quality data flooding. Agent Contribution Node (ACN) ACNs deploy and operate AI Agents, transforming model capabilities into callable intelligent services. The value of an Agent is determined by real usage and sustained operation, not by mere deployment. Intelligent Validation Node (IVN) IVNs perform independent verification and adjudication. They audit computation execution, data usage, and Agent behavior, ensuring that all contributions entering settlement are real, credible, and auditable. Through the collaboration of these four roles, Noos separates production, application, and validation, keeping incentives aligned with genuine and effective intelligent contribution. Why PoAC Is Better Suited for the Long-Term Development of the Agent Economy In large-scale Agent collaboration, the greatest risk is not technological failure but incentive distortion. When rewards fail to reflect real value, networks either collapse into meaningless internal competition or become dominated by a small number of powerful actors. PoAC prioritizes long-term correctness over short-term efficiency. By suppressing repetitive, low-quality, and fraudulent behavior while rewarding real, reproducible, and sustainable contributions, PoAC aims to keep the network oriented toward effective intelligence growth, rather than superficial activity. For individual participants, this means entry is no longer determined primarily by capital scale. Whether contributing compute, data, or Agent services, anyone whose contribution is genuinely used and generates value within the network can be rewarded under the same rules. Establishing Non-Monopolizable Rules for AI Agents PoAC is not an endpoint, but a foundational direction for the Agent economy. As AI Agents become significant economic actors, if rules continue to be defined behind closed doors by centralized institutions, the result will inevitably be monopolization of both value distribution and rule-making power—ultimately limiting the scale and boundaries of intelligent collaboration. What Noos is building is an open, verifiable, and executable protocol framework that answers a fundamental question: how intelligence enters the economic system. Under this framework, intelligent contributions can be accurately measured, continuously settled, and publicly verified—without reliance on centralized discretion or opaque mechanisms. In Noos’ view, the significance of PoAC lies not in how many participants it rewards, but in what it defines: What kinds of intelligent contributions are worthy of long-term recognition by the network itself.
Why the AGI Era Requires a New Economic and Security Infrastructure
As AI evolves from isolated capabilities into networks of Agents with autonomous decision-making, collaboration, and execution, a fundamental question emerges: What kind of economic and security system should these intelligent agents operate within? In the future, Agents will no longer be mere tools. They will undertake real tasks, participate in real transactions, and even form self-organizing collaborative networks as true digital actors. Without clear settlement rules, credible value-measurement mechanisms, and security constraints that hold over time, Agent collaboration cannot be sustained—and a machine economy can never form a closed loop. It is precisely in this context that Noos was created: a trusted infrastructure designed for the AGI era, built to keep the AI economy running over the long term by providing foundational support for Agent collaboration, settlement, and value distribution. The Agent Era Is Not Just About “Stronger Models” Over the past few years, AI progress has largely been driven by larger models, denser compute, and more efficient algorithms. But as Agents begin to take on real-world tasks and participate in real processes, bigger models alone are no longer enough. The real challenges are: Who is actually contributing intelligence?How can contribution be measured? How should value be distributed?How can the system remain secure without centralized controllers? In today’s systems, control over data, compute, and models is highly centralized. Most users and developers are merely consumers, not participants. The production of intelligence is locked inside black boxes, making contribution impossible to measure—and fair distribution impossible by design. Noos aims to rebuild this logic from the ground up: AI should not merely be used, but co-produced, co-owned, and co-governed. PoAC: Making Intelligent Contribution the Basis of Consensus
One of Noos’ core innovations is PoAC (Proof of Agentic Contribution) as its consensus and incentive mechanism. Under PoAC, network security is no longer based on random hash competition. Instead, it is directly tied to AI training, Agent optimization, and intelligent output. Compute, data, and knowledge are no longer external inputs, but unified under a single framework of intelligent contribution.Nodes no longer compete on energy consumption, but on how much they improve model training, Agent performance, and inference quality.Every unit of effective compute, every high-quality dataset, and every meaningful training or inference output is quantified, verified, and recorded as a settleable contribution.
As a result, AI evolution is no longer controlled by a handful of institutions. It is driven collectively by contributors around the world. Intelligence is no longer a closed asset—it becomes a sustainably produced, fairly distributed public capability. Security as Incentive Alignment, Not Just Defense In Noos, security is not merely a technical defense layer. It is a long-term economic and behavioral constraint embedded directly into the system. Within this structure, attacking the network does not generate profit. Instead, it damages the attacker’s own future intelligent rewards. The healthier the system, the higher the long-term returns for participants. If the system is harmed, everyone bears persistent losses. This alignment is known as Hill Equilibrium, where individual rational behavior naturally aligns with overall network security. Since all NOOS tokens are minted through PoAC—with no pre-mine and no private allocation—network value is tightly bound to real contributors. Malicious behavior not only triggers penalties but also weakens the growth of the intelligent network itself, cutting off future rewards at the root. In Noos, security is not enforced by a small group of guardians. It is maintained collectively through the rational choices of all participants. Decentralized Governance Where Contribution Determines Influence To prevent short-term capital or speculation from steering the network, Noos adopts a DAO-centered governance model. NOOS tokens can be locked as veNOOS to participate in governance. The longer the lock period, the greater the voting weight—encouraging long-term commitment by design. More importantly, governance power is not determined solely by token holdings. It is tightly coupled with real intelligent contribution and long-term network stability. Participants who consistently provide compute, data, and high-quality knowledge gain greater influence in governance.
Those who build the network are the ones who decide its future—this is the core principle of Noos governance. A Full-Stack Economic Infrastructure for Agents Noos is not focused on a single layer. It builds the complete infrastructure required for an Agent Economy. From data generation and model training, to Agent assetization, service invocation, and value settlement—all steps occur within a single system: Data → Model → Agent → Service → Value → New Data This closed-loop architecture allows Noos to function not just as an AI network, but as a machine economy capable of long-term operation and continuous evolution. Toward a Globally Co-Built Intelligent Future In the Noos vision, participation in AI is no longer reserved for a technical elite. Ordinary users can contribute through data, compute, or usage behavior and receive rewards proportional to their contribution. Individuals can train, own, and operate their own Agents, turning AI into a sustainable digital asset that generates real value. Noos seeks to build a globally maintained, continuously evolving collective intelligence network—where AI is no longer an opaque black box, but an open, verifiable, and settleable public infrastructure. This is the core meaning of Noos as the settlement layer and security layer of the Agent economy: to make intelligence measurable, value fairly distributed, and the machine economy capable of running autonomously over the long term.
Noos: Verifiable Economic Infrastructure for the AGI Era
Subtitle — Co-Building a Decentralized Network of Intelligent Contribution As AI enters a phase of generalization, humanity stands at the threshold of a Fourth Industrial Revolution. Throughout history, each industrial revolution has been driven by a leap in productive forces—and today, AI is becoming the next fundamental form of productivity. By 2026, competition in the semiconductor industry is no longer centered on peak performance alone, but on whether compute can support intelligent systems at lower cost, higher energy efficiency, and closer alignment with real-world scenarios. From declining cloud inference costs to the expansion of AI PCs and robotics toward edge computing and the physical world, a clear consensus is emerging: AI is advancing toward AGI. Yet, the proliferation of compute does not equate to the liberation of intelligence. As information access shifts from “search” to “interfaces”, models increasingly take on the role of interpreting reality. Algorithms evolve from tools into filtering mechanisms—and those who control the models gain disproportionate influence over how the world is explained. Yet, when compute power, data, and interpretive capability become simultaneously centralized, cognitive monopolies and opaque data black boxes become unavoidable structural risks in the AGI era. The PoW Compute Paradox In today’s Web3 ecosystem, massive GPU resources are still consumed by traditional Proof-of-Work (PoW) hashing—used solely to secure ledgers while producing no real-world value. Tens of thousands of mining machines continuously “search for random numbers,” consuming vast amounts of energy without generating any social or productive output. Against the backdrop of soaring AI model training costs remain high and effective compute is critically scarce, this structural waste of computation has become a systemic issue constraining the development of intelligence itself. PoAC Consensus: Turning Compute into Intelligent Contribution To address this inefficiency, Noos introduces a new consensus mechanism: PoAC (Proof of Agentic Contribution). Unlike traditional PoW, Noos redirects the computing power required for blockchain network maintenance towards "intelligent contributions" that benefit AI model training and knowledge creation.. Miners no longer perform meaningless brute-force hashing. Instead, GPUs participate in distributed AI training within a global federated learning framework. Every unit of electricity is precisely quantified as computational contribution and knowledge contribution, directly advancing the evolution of AI systems. Key Characteristics of PoAC 1. Verifiable and Settled Intelligent Contribution Noos standardizes the measurement of training tasks and data contributions, ensuring that every unit of compute and knowledge input can be accurately quantified and independently verified. Each training cycle and every high-quality dataset generates transparent contribution records and deterministic reward allocation, forming a sustainable incentive loop. 2. Fair Launch Model Noos adheres to a 100% fair launch model—no pre-mining and no VC allocation. All $NOOS tokens are minted exclusively through PoAC mining. This structure eliminates early-stage capital dumping risks, prevents financial monopolization, and ensures that all participants can equitably share in the dividends of AI progress. The Noema Model: Sensory Neurons Connecting IoT Noos builds Noema, an open-source foundational model shared by the community and designed as a cornerstone for AGI. Through federated learning, privacy-preserving computation, and edge computing, Noema models aggregates globally distributed compute and data, transforming every intelligent terminal into a native data source. In this framework, smart wearables, smart homes, and IoT devices continuously generate authentic, high-frequency, contextual data streams. These data are locally pre-processed before participating in training, preserving user privacy while supplying Noema with rich knowledge inputs. Like biological neurons, Noema connects devices worldwide, enabling real-time Agent collaboration and continuous model evolution. Through this design, Noos establishes a unified AGI foundation centered on Noema. On top of it, a decentralized AI application ecosystem emerges: developers can publish and compose agents, tasks execute autonomously, services operate natively on the network, and value is settled automatically according to contribution—forming a self-reinforcing intelligent economic loop.
Returning AI to the Community: Noos’ Decentralized Design If AI is becoming a new form of productive power, then its operational rules must not be controlled by a select few. Noos starts from this premise and re-designs the institutional foundations of the AGI era. 1. Decentralizing AI Execution and Value Flow In the Noos network, AI does not run on centralized servers or belong to single corporations. Instead, it is executed collaboratively by distributed agents. Invocations, inferences, and task executions between Agents are completed directly via the A2A (Agent-to-Agent) mechanism, eliminating the need for centralized intermediaries and hidden rules like "platform commission." 2. Real Measurement of Intelligent Contribution Through the AgentPoint / IntelliPoint system, Noos evaluates compute, training output, data quality, and long-term stability holistically. Rewards and network rights flow to those who deliver real intelligent value—not to those with the most capital or nodes. 3. User Sovereignty Over Data and Compute Data remains local. Compute is not monopolized. Federated training and distributed collaboration allow data to evolve models without central aggregation, while GPU resources become shared public intelligence infrastructure for the community-owned Noema model. 4. Community-Driven Governance To avoid short-term capital capture, Noos adopts governance mechanisms such as veNOOS (vote-escrowed tokens), granting greater decision weight to long-term contributors and ensuring the network evolves according to collective intent rather than narrow interests. Through this integrated design, Noos aims to return AI to its rightful place—as a public intelligence system built, used, and shared by the community. Intelligence is no longer a black box nor a privilege of the few, but a productive force accessible to all participants. Agent Economic Operating System: A Closed-Loop AI Ecosystem
Noos envisions a long-term economic system for silicon-based intelligence—integrating applications, protocols, and hardware into a unified framework that connects data generation, model training, and value distribution. Application Layer AI-native DApps, Agent ecosystems, and the Noema foundation model support agent publishing, composition, trading, and collaborative execution. AI Agents become evolving production units, while IoT devices serve as native data gateways supplying real-world context. Blockchain Layer The Noos Network provides settlement and coordination infrastructure. PoAC acts as the value distribution engine, precisely accounting for compute, data, and intelligent output. Federated learning and privacy computation preserve data sovereignty while enabling continuous model improvement. Hardware Layer Distributed compute nodes, DePIN networks, and edge devices form the physical substrate—allowing hardware to directly participate in training and inference, aligning resource consumption with intelligent output. Core Innovation Noos converts computation into verifiable intelligence via PoAC, anchors compute and data value through hardware-software integration, and breaks data silos with privacy-first collaborative training—enabling intelligence production at global scale. Co-Building a Verifiable Intelligent Future Noos is more than a protocol—it is a new collaboration paradigm for the AGI era. It makes AI contribution verifiable and settleable, transforming algorithms from opaque monopolistic assets into shared public intelligence. As the AGI wave accelerates, we need verifiable economic infrastructure that guides compute, data, and collective intelligence toward fairer global coordination. Currently, the Noos network is now open to developers, compute providers, and Agent builders worldwide—inviting all participants to co-create a decentralized intelligent economic infrastructure that serves humanity as a whole.
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Phil AI Officially Launches on November 11, 2025 — The Genesis Block Is Born
Over 10,000 Viewers from 36 Countries Joined the Global Livestream , Over 600,000 Computing Power Units Sold · A New Era of Decentralized AI Computing Begins
November 11, 2025 — Phil AI, a next-generation decentralized computing platform, has officially launched its mainnet and mining operations, marking the birth of its Genesis Block and Phil AI's entry into a new era of decentralized AI computing. During the global livestream, over 10,000 viewers from 36 countries joined together to witness this historic moment — celebrating the transition from vision to reality for the Phil AI network.
Since the presale began on June 25, Phil AI has successfully sold over 600,000 units of computing power in just a few months, demonstrating the market’s strong belief in the decentralized computing economy and the growing demand for open, community-driven AI infrastructure. What Is Phil AI — Bringing Compute and Intelligence Back to the People
Phil AI is building a decentralized global compute network where computing power, bandwidth, and data return to the community. By integrating DePIN × AI, the platform enables individuals and organizations to participate in — and benefit from — the AI economy through shared computing resources. In the Phil AI network, a new block is mined every 12 seconds, representing not only the speed and efficiency of the system but also the collective power of thousands of nodes driving the next evolution of decentralized intelligence. A Multi-Layered Ecosystem Built for Real Adoption, Real Utility, and Real Impact The growth of Phil AI is supported by a broader, multi-layered ecosystem — one that connects community adoption, technological infrastructure, asset protection, and leadership development into a unified value network.
A Multi-Layered Ecosystem Built for Real Adoption, Real Utility, and Real Impact The growth of Phil AI is supported by a broader, multi-layered ecosystem — one that connects community adoption, technological infrastructure, asset protection, and leadership development into a unified value network. PhilSocial represents community adoption and global impact. It brings people, users, traffic, and purpose into the ecosystem — proving that blockchain and philanthropy can work together to create transparent and scalable social good. PhilAI represents infrastructure and economic engine. It delivers measurable output to the entire network — real computing power, real revenue, and real utility, forming the backbone of a decentralized intelligent economy. UNIKO represents trust, protection, and de-risking. It safeguards capital, preserves long-term value, and ensures that the ecosystem operates with stability, accountability, and sustainable growth. Unlimited Awesome represents leadership and entrepreneurship empowerment. It transforms community members into builders, builders into leaders, and leaders into visionaries — nurturing talent that will shape the future of global AI innovation. Together, these pillars form a comprehensive value system that supports Phil AI’s mission to build an open, sustainable, and community-driven AI compute economy. Expanding Global Footprint As the project continues to evolve, Phil AI’s international influence is rapidly expanding. The team has been invited to two major global events, marking its growing presence across both the Web3 and cultural landscapes: - Weibo Culture Exchange Night 2025 — exploring the convergence of blockchain and digital culture. - Singapore Charity Gala 2025 — showcasing how blockchain empowers global philanthropy and social responsibility.
These invitations signify Phil AI’s expanding influence — evolving from a technology innovator to a global representative of AI computing and social value integration
Looking Ahead The official launch of the Phil AI Mainnet is more than a technical breakthrough — it represents a significant step forward in realizing the vision of a truly decentralized intelligent economy.
Moving forward, Phil AI will: Expand global node participation and community cooperation,Drive the assetization, intelligence, and sustainability of computing power,Deliver more efficient, open, and inclusive AI computing solutions for users worldwide. “From this Genesis Block, a new intelligent economy begins — decentralized, transparent, and powered by everyone.” — Phil AI Team The decentralized era of AI computing has officially begun