Gaztec guys Pls do this ASAP Upgrade your @aztecnetwork node to v2.1.2. Also join aztec Discord for more information. discord.gg/aztec

Gsenti guys Integrating AI Decision‑Making into Decentralized Security: The @SentientAGI x Eigenlayer Partnership Sentient Foundation and EigenLayer are collaborating to embed advanced AI services directly into the decentralized infrastructure that EigenLayer provides. At the core of this effort is the deployment of the Dobby Judge AI adjudicator, a specialized artifact that runs on Sentient’s GRID network while leveraging EigenLayer’s restaking framework. By integrating Dobby Judge with EigenLayer, the AI adjudicator can inherit the security guarantees of the underlying validator set, meaning that any decisions or evaluations it produces are backed by the same economic stake that secures the broader blockchain ecosystem. This integration requires close coordination between the two teams to align the AI model’s execution environment with EigenLayer’s consensus and staking mechanisms, ensuring that the AI service can be called on‑chain in a trust‑minimized manner. The partnership also involves creating the necessary smart‑contract interfaces and governance hooks that allow developers to invoke the adjudicator for a variety of use cases, from smart‑contract audits to dispute resolution in decentralized applications. Beyond the technical integration, the collaboration focuses on building a suite of tools that make AI‑driven verification accessible to the wider Web‑3 community. Sentient’s GRID provides a network of specialized agents and models, and EigenLayer contributes its restaking infrastructure, which enables participants to lock up existing validator stakes to secure new services without needing additional capital. Together, they are designing a modular architecture where AI services can be “plugged in” as first‑class citizens on the blockchain, with the ability to scale as more validators opt into restaking for these new functionalities. This modularity also allows for rapid iteration: as Sentient develops newer versions of the Dobby models or other AI artifacts, EigenLayer’s framework can accommodate upgrades without disrupting the underlying security guarantees, fostering a dynamic ecosystem where AI capabilities evolve alongside the blockchain’s security model. The partnership also aims to democratize access to high‑quality AI adjudication by lowering the barrier to entry for developers and end‑users. The importance of this collaboration lies in the added trust layer it brings to AI‑driven processes on blockchain. Traditionally, AI outputs have been viewed as opaque and reliant on centralized providers, which introduces concerns about bias, manipulation, and single points of failure. By anchoring AI adjudication to EigenLayer’s restaked security, the outputs gain economic finality: validators have a direct financial stake in the correctness of the AI’s decisions, which discourages malicious behavior and incentivizes accurate, reliable performance. This creates a more robust environment for critical applications such as automated compliance checks, on‑chain governance voting, and cross‑chain asset verification, where the cost of an erroneous decision can be substantial. Furthermore, the partnership accelerates the broader vision of a decentralized, open‑source AI economy. By coupling Sentient’s open‑source AI models with EigenLayer’s innovative staking infrastructure, the two organizations demonstrate a viable pathway for funding and sustaining open AI development without relying on traditional venture capital or proprietary platforms. This model empowers a community of builders to contribute, improve, and monetize AI artifacts in a transparent manner, ensuring that the benefits of advanced AI are distributed rather than concentrated. In doing so, the collaboration not only advances technical capabilities but also reinforces the philosophical foundation that AI should serve humanity as a shared resource, secured and governed by the very participants who maintain the underlying blockchain.

Gsenti guys “Authenticity Meets Innovation: The Strategic Partnership Between @SentientAGI and @billions_ntwk" The partnership between Sentient Chat and Billions Network represents a strategic alliance at the forefront of the open AI revolution one focused on trust, authenticity, and human verification in an increasingly digital and automated world. As AI-driven communication platforms like Sentient Chat continue to evolve, the need to ensure that interactions and value exchanges occur between real, verified individuals becomes more critical than ever. Billions, recognized as the first global human and AI verification network, offers a robust, mobile-first infrastructure that guarantees that every user engaging with Sentient Chat is genuine. This partnership bridges the gap between digital intelligence and verified human participation, setting a new standard for ethical and transparent AI ecosystems. Through this collaboration, Sentient Chat gains access to Billions’ advanced verification technologies, which have already been trusted by major global institutions such as HSBC and Polygon. These systems utilize secure identity frameworks and real-time verification tools to confirm that each participant in the ecosystem whether human or AI is properly authenticated. This ensures that Sentient Chat’s user base is composed of authentic, verified users, significantly reducing the risks of fraud, impersonation, and bot manipulation. For an AI-powered communication platform designed to foster meaningful interaction, the integration of such high-level trust infrastructure reinforces both the security and integrity of the community. One of the most profound benefits of this partnership is the enhancement of reward distribution and participation fairness within the Sentient ecosystem. As open AI development models often include tokenized rewards or incentives for engagement, Billions’ verification ensures that these rewards are distributed only to verified human participants, not bots or fake accounts. This transparency not only improves trust among users but also strengthens the economic stability of Sentient’s incentive systems. By validating every interaction and transaction, Billions helps Sentient Chat guarantee that value flows to real contributors, fostering a sustainable and equitable AI economy that benefits genuine participants. Moreover, the collaboration supports the broader mission of building an “Internet of Value”, where identity and authenticity underpin every digital interaction. Sentient Chat, as an AI communication platform, thrives on open participation and collaboration between users, developers, and AI agents. Billions’ infrastructure empowers this ecosystem by anchoring it to verified digital identities, effectively merging the convenience of automation with the accountability of real-world identity. This human-AI hybrid network model not only enhances safety and compliance but also encourages responsible AI adoption by ensuring transparency in how data, communication, and rewards are managed. Ultimately, the partnership between Sentient and Billions lays the groundwork for a trust-based AI future. It establishes a new paradigm where AI systems and human users coexist within a framework of verifiable authenticity and mutual benefit. By combining Sentient Chat’s cutting-edge conversational AI technology with Billions’ global verification network, both organizations are poised to redefine what it means to build open, secure, and human-centered AI ecosystems. This collaboration marks a significant step toward scaling the next generation of intelligent, value-driven digital communities, where every interaction whether powered by a human or an AI is anchored in truth, trust, and transparency

You don’t need 10 tools to build one idea. @irys_xyz gives you storage and execution in one box. >No fragmentation. >No switching networks. Just build and it stays Signed: Irys

Proof of @irys_xyz card. Mainnet is coming, are u ready fam?

Gsenti guys Empowering Decentralized AI: The @Talus_Labs ‑ @SentientAGI Partnership The partnership between Talus and Sentient creates a bridge between two complementary ecosystems, giving developers a single place where decentralized AI agents can be built, monetized, and distributed at scale. Talus supplies the low‑level infrastructure that lets an agent run on a verifiable, transparent network, while Sentient contributes the massive user base, the GRID emission economy, and the distribution channels of SentientChat and AgentHub. Together they turn a technical prototype into a revenue‑generating product that can be accessed by millions of users without sacrificing the openness of the underlying models. Because both platforms are model‑agnostic, the collaboration is not limited to any particular AI family. As Sentient expands its distribution tools and Talus continues to add new capabilities to its Nexus layer, developers can plug any open‑source model into the joint stack and immediately benefit from the combined reach. This means an agent that once lived only on a private server can now appear in Sentient’s marketplace, be discovered by the community, and earn GRID emissions based on real‑world usage. The economic model is also unified. Talus enables agents to earn revenue in a verifiable way, while Sentient’s GRID economy allocates token emissions to projects that demonstrate genuine community conviction and usage. When an agent built on Talus is used through Sentient’s platform, the earnings flow through both systems, rewarding the creator, the underlying infrastructure, and the community that supports it. This creates a sustainable loop where value is generated, measured, and redistributed without a central gatekeeper. From a developer’s perspective the partnership simplifies the entire lifecycle. You can launch a Talus agent, follow the upcoming tutorials that Sentient will publish, and see your agent appear on SentientChat or AgentHub with just a few configuration steps. The combined stack handles identity, verification, payment routing, and scaling, so you can focus on the agent’s core functionality instead of building the surrounding plumbing. In short, the Talus‑Sentient alliance gives you a ready‑made, open‑source‑friendly marketplace for AI agents that is both technically robust and economically viable. It opens the door to building specialized digital intelligence that serves real needs, is transparent and verifiable, and can generate genuine value for creators and users alike. Stay tuned for the first Talus agents to go live on Sentient’s platform and the accompanying tutorials that will show you exactly how to bring your own agents into this growing ecosystem.

Gsenti guys Just finished playing quiz with the Nigerian family in @SentientAGI discord server and I finished 139th. The questions asked were from movies where AI went rogue Avengers age of ultron, Upgrade, Blade runner.

Phyno always delivers 🙌

Gsenti guys “The Architecture of Thought: Why Recursive Multi Agent Systems May Be the Key to General Intelligence” The pursuit of general intelligence, the ability of a system to understand, reason, and adapt across diverse domains has long been one of the central ambitions in AI research. For decades, progress has been defined by building increasingly powerful but fundamentally narrow systems, each optimized for a specific function: language, vision, reasoning, or control. While these systems have achieved remarkable success, they remain limited by their single-minded design. They cannot integrate diverse forms of reasoning or reconfigure themselves to tackle entirely new problems without extensive retraining. This gap between narrow competence and flexible understanding has led many researchers to explore architectures that more closely mirror the way humans think, plan, and collaborate. Among these, recursive multi-agent systems such as @SentientAGI ROMA (Recursive Open Meta Agents) may represent one of the most promising pathways toward open-source general intelligence. At its core, a recursive multi-agent system introduces a structural shift in how intelligence is organized. Instead of relying on a single, monolithic model to process every input, ROMA builds intelligence out of a network of agents, each capable of reasoning independently while collaborating within a shared recursive framework. When presented with a complex problem, these agents decompose it into smaller, well-defined subtasks. Each subtask can then be handled by a specialized agent one optimized for analysis, coding, strategy, or reflection and the results are aggregated into a coherent solution. This recursive decomposition mirrors the human cognitive process: when faced with an overwhelming challenge, we instinctively break it down, tackle each component separately, and then synthesize our insights into a unified conclusion. By embedding this recursive reasoning structure into artificial systems, ROMA enables machines not only to solve problems more efficiently but to reason about how they are reasoning a key hallmark of intelligence itself. What makes recursion particularly powerful is its capacity for self-reference and hierarchical abstraction. Human reasoning is recursive because it operates in loops: we form plans, test them, observe the outcomes, and then revise our thinking. This ongoing feedback cycle allows for continuous learning, adaptation, and improvement. In a similar way, recursive multi-agent architectures allow each layer of reasoning to inform and refine the others. An agent can generate subtasks for lower-level agents, evaluate their performance, and modify its own strategy based on the results. This kind of reflective loop transforms problem-solving from a static pipeline into a living, adaptive process. Instead of simply executing a set of instructions, the system becomes capable of introspection of asking not only “What should I do next?” but also “Was my last approach effective, and how can it be improved?” Collaboration plays an equally crucial role in this evolution. Intelligence, whether human or artificial, rarely exists in isolation. Human societies thrive because individuals bring different skills, perspectives, and areas of expertise, combining them to solve problems that no single mind could handle alone. Recursive multi-agent systems adopt a similar principle: intelligence emerges from the interactions between specialized agents, each contributing a unique capability to the collective reasoning process. This distributed collaboration not only allows for greater scalability and robustness but also fosters emergent behaviors that can’t be preprogrammed. Over time, as agents learn to coordinate, negotiate, and reflect upon their interactions, they begin to form a kind of meta-intelligence one that arises from communication and cooperation rather than centralized control.

Aztec SZN That’s the tweet

Gaztec guys “Aztec Technology: Building a Safer and More Private Blockchain Future” One of the most powerful contributions of Aztec technology is its ability to bring true privacy to blockchain transactions. On most public blockchains, every transaction, wallet address, and token movement can be viewed by anyone, which can expose sensitive financial information. @aztecnetwork addresses this challenge using zero-knowledge proofs (ZKPs) advanced cryptography that validates transactions without revealing any personal or financial details. This makes it possible for users to engage in activities like trading, lending, or making payments while keeping their identities and transaction amounts completely private. In addition to personal privacy, Aztec’s system also creates new possibilities for organizations and developers. Businesses can use it to manage private payrolls, execute confidential smart contracts, or verify user identities securely. By combining privacy, transparency, and security, Aztec transforms how people and institutions interact on the blockchain. It represents a major step toward a future where decentralized systems can be both open and private, unlocking safer and more practical real-world applications for blockchain technology.

Gaztec guys 🎤 Privacy Rabbit Hole meets Karaoke! Join us Nov 6 at 2 PM UTC on the Aztec Discord (Community Stage) for a special edition hosted by @realRoberto38 featuring karaoke, surprises, and some spicy alpha 👀 Come hang with the community! 🫶

Gsenti guys "Meet ROMA: The Brain Behind @SentientAGI Next-generation AI" ROMA (Recursive Open Meta Agents) is the cornerstone of Sentient’s evolution in building intelligent, collaborative systems. Designed to mimic the recursive nature of human thought, ROMA transforms how AI agents reason, communicate, and scale. Traditional AI models tend to process information linearly tackling one problem at a time within a fixed context. ROMA breaks free from this limitation through a process called recursive hierarchical decomposition, where complex tasks are divided into smaller, interdependent subtasks. Each of these subtasks is handled by specialized agents that work within localized contexts, focusing only on the data relevant to their scope. This structure mirrors the way humans approach challenges breaking them down, solving individual components, and then integrating everything into a cohesive, intelligent outcome. At the heart of ROMA’s design is its commitment to context management and reasoning precision. In large-scale AI systems, one of the biggest hurdles is context explosion when too much information overwhelms the model and weakens decision-making. ROMA solves this through local aggregation, allowing agents to retain access only to the information necessary for their subtask. This ensures clarity, reduces noise, and creates a more efficient cognitive process. Once all subtasks are completed, ROMA aggregates the outputs into a unified solution that captures the full complexity of the original problem without sacrificing accuracy or coherence. This recursive framework not only optimizes efficiency but also mirrors the adaptability of human reasoning refining understanding layer by layer until the most precise solution emerges. Beyond structure, ROMA introduces parallelized execution and task-specific model routing, two capabilities that redefine AI performance. Instead of processing subtasks sequentially, ROMA allows agents to execute them simultaneously, dramatically accelerating speed and responsiveness. Meanwhile, task-specific routing ensures that each problem is handled by the model best suited for the job for instance, using a logic-oriented model for reasoning tasks and a creative model for narrative or design work. This intelligent distribution of workload maximizes both accuracy and efficiency, turning Sentient’s ecosystem into a symphony of specialized agents working in harmony. It’s a shift from isolated model behavior to true collaborative intelligence, where diverse cognitive strengths come together to solve complex, multidisciplinary problems. ROMA also revolutionizes how agents store, manage, and reflect on knowledge. Its artifact management system enables agents to preserve key data and intermediate outputs as reusable resources, ensuring that important insights are never lost and that learning is cumulative rather than repetitive. Through selective context access, agents can recall only the information relevant to their current task, keeping memory usage lean and focused. This is complemented by ROMA’s experimental reflective optimization framework, GEPA (Generalized Epistemic Performance Adjustment) a system that allows agents to analyze their own reasoning, learn from previous outputs, and adapt their strategies over time. Rather than relying solely on reinforcement learning, ROMA’s reflective feedback loop helps the system grow smarter and more self-aware with each iteration. Ultimately, ROMA serves as the cognitive engine driving Sentient’s open, recursive intelligence. It doesn’t just make AI agents faster or more efficient it makes them fundamentally more thoughtful. By integrating recursive reasoning, parallel collaboration, adaptive learning, and efficient memory management, ROMA creates a scalable architecture where intelligence is distributed yet unified, dynamic yet stable.

what class of web3 are you? 2009 - 2013: OGs 2013 - 2018: Legends 2018 - 2023: Old stars 2023 - 2025: newbies I’m sort of an old star hehe 😆

Hirys to my @irys_xyz family “Unified Data and Execution: The Architecture That Sets IRYS Apart” IRYS stands out through its Unified Data and Execution Layer, an architecture that merges data storage and smart contract computation into a single, seamless system. Instead of relying on separate networks or external storage layers, IRYS allows data and logic to coexist natively. This design eliminates bottlenecks, reduces transaction costs, and enables developers to build powerful, data-driven applications that operate with real-time responsiveness. By keeping storage and computation under one roof, IRYS delivers superior efficiency and security for complex use cases like AI model training, large-scale analytics, and decentralized data marketplaces. The result is a more streamlined, scalable blockchain experience where information can move, act, and generate value instantly within the same environment.

They promise forever… then ghost you when the bill’s due. • @irys_xyz ? That’s the one that actually means it when it says “permanent.” Hirys if you Hirys🩵