Mao Mao's @ 0G_labs Ecological Note 1Under the endorsement of 0G, the collective leap of general AI architecture projects By 2025, the focus of AI has shifted from "how large the model parameters are" to "how to truly implement intelligence". Whether it is enterprise applications or on chain ecosystems, how to efficiently schedule AI resources and make multi-agent collaboration trustworthy and verifiable has become a new core proposition. This trend is fully reflected in projects such as Oro Labs, Bagel Labs, Warden Protocol, QuillAI, etc. They explore the next evolution of AI architecture from dimensions such as enterprise level collaboration, distributed verification, intelligent applications, and adversarial security. @procurewithORO @bagelopenai @wardenprotocol @QuillAI_Network More importantly, the underlying support of these projects points towards 0G - a modular infrastructure designed for AI, providing high-throughput computing, scalable data availability, distributed storage, and verifiable execution environment for multi-agent networks. 1、 Why is the universal AI architecture naturally compatible with 0G? Traditional AI applications often rely on a single cloud infrastructure, and the emergence of 0G has reshaped the underlying logic of AI. • High throughput and low latency: The 0G Chain execution layer can carry enterprise level agent calls, DeFi protocol logic, and AI inference triggers. • Modular design that can be combined: Storage, Data Availability (DA), and Compute can be called on demand, which is crucial for multi scenario collaborative projects like Oro and Warden. • Verifiable trust layer: Through ZK technology, on chain verification, and cross module synchronization, 0G can make intelligent outputs auditable - which perfectly meets the technical requirements of Bagel and QuillAI. In other words, 0G is an operating system that enables AI collaboration, verification, and parallel scheduling. 2、 Ecological Observation: Collective Transition of Four Typical Projects 1) Oro Labs: Choreographer of Enterprise level AI Collaboration Oro Labs is a globally leading enterprise level procurement and workflow orchestration platform, recently launching a codeless AI Agent Builder that enables enterprise teams to quickly create intelligent agents to handle complex tasks - from compliance review to supply chain management. Oro reduces the burden of manual approval and improves cross departmental decision-making efficiency through AI agents. • Integration with 0G: 0G provides scalable storage and a high concurrency chain execution environment, allowing Oro's agents to call on on chain data while securely storing logs and audit trails. Oro not only adds AI functionality, but also arranges human-machine collaboration into an "automated work band" and enhances transparency and verifiability with the help of 0G modular stack. 2) Bagel Labs: A New Paradigm for Distributed Verification Bagel Labs is committed to solving a core problem: how to prove that the reasoning of AI models is trustworthy? The latest ZKLoRA protocol released by it can complete fine-tuning verification of open source large models (such as Llama 3.3) within 1-2 seconds, and is compatible with billions of parameters. This is almost impossible to achieve in 2024 due to the high latency of zero knowledge validation, but Bagel Labs has broken this bottleneck. Why does it need 0G? The core scenario of Bagel is high-frequency model validation and parameter submission, with extremely high requirements for both the DA layer and Compute layer. 0G of Data Availability and ZK Compute capabilities provide it with distributed verifiable computing power and data flow assurance. 3) Warden Protocol: A Full Stack Foundation for Chain Native Intelligent Applications Warden is a full stack L1 protocol designed for developers, focusing on the concept of "Intelligent Apps": Provide AVR plugins and SPEX (executable verification) to enable on chain/off chain smart models to be securely called by smart contracts. The three-layer structure (blockchain layer+verification layer+application layer) is essentially a set of AI+blockchain interoperability protocols. 0G's role here is: As a high-performance off chain inference computing accelerator and providing storage and data availability support, Warden's intelligent agent ecosystem achieves cross chain and high security collaboration. 4) QuillAI: A Security Line Against Intelligence QuillAI is an adversarial AI network that helps on chain AI agents detect vulnerabilities in advance and "immunize" them by simulating hacker behavior, intelligent attack paths, and other methods. It is like an AI immune system, allowing agents to evolve in an attack defense cycle. For QuillAI, 0G not only provides computing and verification capabilities, but also offers on chain traceability and a secure auditing environment for its adversarial training. 3、 The combination path of enterprise applications and module chains The biggest concern for enterprises when integrating AI is often: • Data privacy (can it be done without going to the cloud?) • Cost control (can we quickly try and make mistakes?) Audit compliance (Is it verifiable and traceable?) The modular stack of 0G has opened up a new path for enterprise AI applications: Chain: Responsible for business logic and process on chain (such as Oro's compliance audit) • Storage: Stores logs, sensitive information, and training data DA: Ensure that large-scale states and datasets are verifiable Compute: Run complex inference and validate ZK calculations This combination is a "on-demand foundation" for builders who want to build enterprise level intelligent applications. 4、 Bagel Mode vs Warden Mode: Two Positions of Chain Native AI Bagel mode: focuses on verification (ZK+model credibility), which is more suitable for quality control and auditing in AI development. Warden mode: focuses on execution (Intelligent Apps+Agent), more like an "on chain intelligent application factory". The commonality between the two is that they cannot do without the endorsement of 0G. 0G is not only the execution layer that carries them, but more like providing a public computing market and trusted infrastructure for the multi-agent ecosystem. When teams like Oro, Bagel, Warden, QuillAI, which have leading technologies in their respective fields, choose to integrate into the same modular infrastructure, the signal it sends is clear: 0G has become the underlying consensus of the AI native ecosystem. For Builder, this means: There is no need to duplicate the wheels, but to stand directly on a scalable, verifiable, and collaborative 'AI OS'. 0G is not just a tool, but also an underlying "protocol standard" that enables intelligent agents to trust and collaborate. @0g_CN @0G_labs @KaitoAI KaitoYapper AI @0G_Foundation