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  1. Published Social post

    SingularityNET (@SingularityNET)

    Dear SingularityNET Community, On September 19, an unauthorized party gained access to part of our cloud infrastructure and used it to mint tokens and withdraw assets through our bridge infrastructure. Treasury and exchange wallets were not affected, and FET held in your own wallet or on an exchange was not impacted. We revoked the compromised access and deactivated the affected bridges and conversion contracts, and our team and security partners responded as soon as the activity was detected. Actions Taken: - We revoked the identified compromised access - Deactivated the bridges and conversion contracts - Paused AGIX and NTX transfers on Ethereum - Tracing and monitoring are ongoing, and we are working with exchanges and security partners Current Status: - FET: FET was withdrawn from the token converter. FET has been secured, and its minting controls were not affected. No action is required from token holders; your own wallets are not at risk from this incident. - AGIX: Our team is working on a secure and compliant way for eligible holders to transfer their tokens, and we will share details as they are confirmed. - NTX, WMTX, CGV: Unauthorized tokens were minted. We recognize the disruption this has caused these communities and their project teams, and we are in direct contact with each of them. Next steps: - Independent security review: We have been working closely with our security partners since the incident began. The bridges will stay deactivated until an independent security review confirms they are safe to restore, and we will share additional findings as they become available. - AGIX holders: AGIX migration is paused. We are working on a legitimate, verified path forward for eligible holders, in a way that is legally sound, and we will share details as they are confirmed. - Other affected tokens: We are working with each project team on next steps. Each team will communicate about its own token through its official channels. - Exchanges and tracing: Monitoring continues, and we are sharing data with exchanges and partners who need it. - Law enforcement: We are working with law enforcement in the relevant jurisdictions and will provide updates when available. We are committed to working with every affected community and project team, and we will keep updating you as facts are confirmed. All updates will come only through our official channels. Do not trust information from any other source. This was a coordinated, multi-stage attack with a high degree of automation. Our systems are audited regularly and we follow industry security standards, but attacks like this are accelerating and becoming more sophisticated. We encourage every team in this space to review their external cloud critical infrastructure now.

  2. Published Social post

    GoPlus Security 🚦 (@GoPlusSecurity)

    ⚠️ Update: The same attacker exploited the @SingularityNET bridge to illicitly mint $AGIX and$WMTx. The attacker's bag has swelled to ~$16.77M on paper, with ~$2.2M already cashed out. This is an ecosystem-wide ops key cluster compromise, not an isolated private key leak. Impacted protocols now include @Fetch_ai, @nunet_global, @SingularityNET, and @wmchain. 🛡️ Security Action Plan: Users: Beware of fake support, refund/claim pages, and "token migration" phishing links. Trust official channels only. Exchanges: Freeze all attacker-linked wallets and halt deposits for the illicitly minted tokens. Projects: Rotate ops keys immediately, audit mint/authorizer roles, and enforce hard caps + cross-chain burn proofs on all bridge functions.

  3. Published Social post

    Fetch.ai (@Fetch_ai)

    Following reports of an exploit on 19 September, here is where things stand. > http://Fetch.ai contracts are not affected. No http://Fetch.ai contract is under threat at this time, and FET continues to operate normally. > The attack is targeting SingularityNET contracts, primarily the SingularityNET Bridge between Ethereum and Cardano chains. The unauthorised mint was carried out through that same route. > AGIX to FET conversions are paused until further notice. Our bridge contract on the Ethereum side has also been paused as a precaution, with no indication of any vulnerability in it. Both will be restored in due course. The investigation is ongoing, and we've contained the exploit. We are working with the @SingularityNET team and will share updates as we have them.

  4. Published Social post

    Fetch.ai (@Fetch_ai)

    Following reports of an exploit on 19 September, here is where things stand. > http://Fetch.ai contracts are not affected. No http://Fetch.ai contract is under threat at this time, and FET continues to operate normally. > The attack is targeting SingularityNET contracts, primarily the Ethereum to Cardano bridge. The unauthorized mint was carried out through that same route. > AGIX to FET conversions are paused until further notice. Our bridge contract on the Ethereum side has also been paused as a precaution, with no indication of any vulnerability in it. Both will be restored in due course. The investigation is ongoing. We are working with the @SingularityNET team and will share updates as we have them.

  5. Published Social post

    SingularityNET (@SingularityNET)

    "Trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models." With Omega, people can teach their agents their own values and understanding of the world through ongoing interaction. Agents retain experience over time, so what they learn from working with someone can inform how they reason, decide, and adapt later. As more Omegas are taught and customized by different people, they can connect across an open network and carry what they have learned from their users into interactions with one another.

  6. Published Social post

    SingularityNET (@SingularityNET)

    HyperSprint #1 brought participants together for several weeks of workshops, mentorship, collaboration, and hands-on building around OmegaClaw. The sprint gave participants the opportunity to learn the framework, work with it directly, and develop their own contributions. The https://t.co/UcYNOoBLaB

  7. Published Social post

    SingularityNET (@SingularityNET)

    Proving that a digital contribution came from a human rather than an AI agent is becoming an infrastructure problem. CAPTCHAs and other remote tests were built around a world where machines struggled to reproduce human perception and behavior. That assumption is becoming increasingly difficult to maintain. We are advancing a design for OpenWater Proof of Humanity around a different premise. Proof of humanity should not depend on a single device, company, or biometric system. An open network can combine evidence from different devices, manufacturers, certifiers, and privacy systems, with each source establishing a specific claim such as biological presence, uniqueness, continuity, or authorization of an action. This also changes what it means to verify that someone is human. A biometric device should not issue a universal "human" verdict. It should provide narrowly defined, verifiable evidence about what it measured, under which protocol and within which limits. Different applications can then establish their own requirements by combining evidence from independent sources. Privacy-preserving cryptography can verify these claims without exposing the underlying biometric data. We see this as important infrastructure for decentralized AI. Human governance cannot function if automated systems can create unlimited synthetic identities, while AI agents acting on behalf of people also need mechanisms that establish who authorized a particular action. An open proof-of-humanity protocol can provide a common foundation for these interactions without making a single company the authority over who counts as human online. OpenWater Proof of Humanity is planned for development and rollout through a partnership between the SingularityNET Foundation and @BGILabs, alongside the broader OpenWater provenance framework. The aim is to make effective identity, human reputation, and agent accountability open infrastructure for a decentralized democratic internet and, further along, a decentralized democratic AGI network. Learn more: https://bengoertzel.substack.com/p/proof-of-humanity-beyond-the-orb

  8. Published Social post

    SingularityNET (@SingularityNET)

    We introduce OpenWater, a fully open, decentralized approach to addressing deepfakes and related issues through digital provenance. The proposal addresses a fundamental limitation of AI-based content detection. Detectors can identify patterns associated with known generators, but they do not establish an artifact’s history. OpenWater records signed claims about how digital content was created, modified, and published. Interoperable credentials and durable watermarks preserve the link between an artifact and its provenance records, even when conventional metadata is removed. OpenWater also keeps the provenance infrastructure distributed across independent services rather than placing it under a single authority. Individuals, institutions, and AI systems can apply their own standards when evaluating the available evidence. The same framework can extend to training data, model outputs, and agent actions, giving AI systems access to provenance information about the data and processes they encounter. Learn more: https://bengoertzel.substack.com/p/toward-a-truly-decentralized-digital

  9. Published Social post

    SingularityNET (@SingularityNET)

    The @AICollectiveCo, one of the world's largest communities of AI builders, founders, and enterprise practitioners, has been named an official partner of the AGI-26 Conference. https://finance.yahoo.com/technology/ai/articles/ai-collective-named-official-community-130000893.html

  10. Published Social post

    SingularityNET (@SingularityNET)

    The @AICollectiveCo, one of the world's largest communities of AI builders, founders, and enterprise practitioners, today announced it has been named an official partner of the AGI-26 Conference. https://finance.yahoo.com/technology/ai/articles/ai-collective-named-official-community-130000893.html

  11. Published Social post

    SingularityNET (@SingularityNET)

    Ahead of AGI-26, we are partnering with the AGI Society to bring you BGI Open Build, a 10-day virtual event that brings together researchers and developers from around the world to collaborate, innovate, and build with open-source AGI research tools: OmegaClaw and FabricPC.🧵

  12. Published Social post

    SingularityNET (@SingularityNET)

    Meet the researchers, founders, and investors shaping the next decade of AI from SingularityNET, Google DeepMind, MIT, Stanford, Berkeley, and leading AI labs at AGI-26 in San Francisco. Register now to attend in-person or watch online: https://luma.com/AGI-26

  13. Published Social post

    SingularityNET (@SingularityNET)

    We are pleased to announce that @MiniMax_AI, a global foundation model company, is sponsoring the BGI Sprint hackathon, supporting participants in building with the ASI Alliance technology stack and MiniMax's models. MiniMax's proprietary models and AI-native products serve over 300 million users across more than 200 countries and regions. Its mission, to build a world where intelligence thrives with everyone, is grounded in making AI broadly accessible and affordable, and in the belief that AGI should serve the many rather than the few. This reflects our own commitment to open, beneficial AGI for humanity. As part of this collaboration, participants will have free access* to the MiniMax M3 model through the @S_Compute platform and API for the duration of the hackathon. Beyond the BGI Sprint, this collaboration may extend into additional areas, including developer programs, research, and infrastructure, across the SingularityNET and MiniMax ecosystems. We will share further updates as this progresses. *Please note: MiniMax M3 access during the hackathon is subject to a requests-per-minute (RPM) limit.

  14. Published Social post

    SingularityNET (@SingularityNET)

    CEO Dr. @bengoertzel joined Dr. Matthew Behrend, Senior AI Research Scientist at SingularityNET, to introduce FabricPC, our open-source framework for building and training neural networks using predictive coding. Watch here: https://youtu.be/f7NB8YB0MVI

  15. Published Social post

    SingularityNET (@SingularityNET)

    Throughout June, we are activating the community to build beneficial agentic systems with our OmegaClaw agent framework. Join us this Wednesday, June 10, 2026, at 5 pm UTC for an online workshop that introduces the relationship between BGI systems thinking and the technical ecosystem surrounding OmegaClaw and related tools. Learn more and register to join: https://bginexus.io/events/deep-dive-what-is-bgi-jun-2026

  16. Published Social post

    SingularityNET (@SingularityNET)

    We are pleased to announce that our CEO, Dr. @bengoertzel, will speak at SUMMIT 333 AI Safety in Barcelona on June 17. SUMMIT 333 is a global think tank and convening platform bringing together senior leaders, policymakers, investors, researchers, and technologists to advance a Universal AI Safety Framework for the era of superintelligence.

  17. Published Social post

    SingularityNET (@SingularityNET)

    We have spent years developing a neural-symbolic approach to AGI, integrating structured symbolic reasoning with adaptive machine learning. To date, our public research has largely reflected the symbolic dimension of our research and development program. FabricPC represents the neural side of that work, introducing our research on predictive coding: a biologically inspired learning architecture distinct from backpropagation, the technique at the foundation of neural network training from early multilayer perceptrons to today's large-scale generative models. Join us this Tuesday, June 9th, 2026, at 5 pm UTC for the first Technical Tuesdays session to learn more about FabricPC, how it enables continual learning, and how it helps transition Predictive Coding research from the laboratory into real-world applications.

  18. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    FabricPC: The Neural Side of Our Neural-Symbolic AGI Research SingularityNET, a founding member of the Artificial Superintelligence (ASI) Alliance, has spent years developing a neural-symbolic approach to artificial general intelligence, integrating structured symbolic reasoning with adaptive machine learning. To date, our public research has largely surfaced the symbolic dimension of that work, anchored by Hyperon, our AGI R&D platform. FabricPC spotlights the neural dimension, introducing our research on predictive coding: a biologically inspired approach, distinct from how most AI systems learn today. It is the first tool to emerge from a much larger predictive coding effort underway at SingularityNET, where a dedicated team of researchers has been advancing this work for some time. It is the first public step into our broader neural research program. This article opens a story we haven't spoken so loudly about before, the neural half of the neural-symbolic vision we have long championed, and it is the first of many we will share in the months ahead. Together, these efforts advance both sides of our framework and move us one step closer to open and beneficial AGI. The paradigm the field stopped questioning Nearly every modern AI system learns the same way. The model that writes code, the one that recognizes a face, the assistant that answers your questions: almost all of them are trained through backpropagation. It is the engine behind a decade of breakthroughs, and it has earned its place. It has also become something the field stopped questioning. And when one method dominates this completely, its limits quietly become everyone's limits. Backpropagation struggles to learn continually, the way living systems do. It leans on ever larger, more energy-hungry models to keep improving. And it resists the structured, symbolic reasoning that general intelligence will require. We were not willing to accept that as the final answer. A dedicated team inside SingularityNET has been pursuing a different path, building deep research around predictive coding as a foundation for neural learning. That is why we built FabricPC: an open-source research framework from the ASI Alliance, developed by SingularityNET, offering an easy-to-use, high-performance toolkit for building and training neural networks. How a neural network usually learns, and what predictive coding does differently In a network trained by backpropagation, learning happens in one long sequence. When the network makes a mistake, a correction signal travels backward through every layer, and each layer has to wait its turn before it can update. The whole system learns as a single chain, which makes it rigid and hard to adapt without retraining the whole model. Predictive coding works differently, and the idea comes from neuroscience. The brain is thought to constantly predict what it expects to perceive and to correct itself wherever those predictions miss. A predictive coding network emulates this learning dynamic. Each part makes its own prediction, measures its own local error, and updates itself independently. Nothing has to travel the length of the system. Every part learns where it sits, in parallel with the rest. That property is called locality, and it is one of the reasons predictive coding is so compelling. Local updates make it natural to run learning in parallel, to study learning that continues over time instead of retraining a model from scratch, and to build architectures with the freedom that standard tools cannot offer. State-of-the-art predictive coding, made easy Many predictive coding implementations live inside neuroscience codebases or are so granular that researchers spend too much time wrestling with the infrastructure, leaving less for the science itself. FabricPC changes that. It is not a single predictive coding model but infrastructure, the kind of common environment PyTorch provided for deep learning: a place where researchers can rapidly test ideas, share implementations, compare results, and build on one another's work. It is built to be modular and flexible: researchers can assemble and reshape networks freely, while the framework handles the underlying complexity on its own. It runs on GPUs out of the box with multi-GPU support, expresses architectures that standard tools struggle with, and stays out of the way so researchers can focus on actually advancing the field. Predictive coding stayed niche in part because the barrier to entry was too high. FabricPC lowers it. A field only grows when the tools are accessible, and FabricPC's open-source design invites ML researchers and builders of all backgrounds to contribute. The larger the community, the faster science advances. "Predictive coding represents one of the most promising directions beyond the learning paradigms that have dominated AI for decades. FabricPC gives researchers the infrastructure to actually test that hypothesis, rigorously, reproducibly, and at scale. This is the foundation layer for a new generation of brain-inspired AI, and it sits at the heart of what the ASI Alliance is building toward: open, decentralized, and genuinely intelligent systems." — Dr. Matthew Behrend, FabricPC project lead FabricPC is working software, available on GitHub under an open MIT license. It includes multiple working demonstrations, among them a model that reaches over 98% accuracy on MNIST handwritten digit recognition, the standard first test for any learning system. Early experiments with transformer architectures show that FabricPC can train these models too, though output quality on language tasks remains an active area of research. Is predictive coding an alternative, or inevitable? We will be direct about where this stands. Today, predictive coding does not beat backpropagation on benchmarks, and on current hardware it is slower. It is still, in large part, a research direction. The natural question is why invest in it at all. Because benchmarks measure intelligence within narrow boundaries, and SingularityNET is working toward something wider: general intelligence, systems that handle a broad range of tasks and adapt to ones they were never trained for. That kind of intelligence depends on qualities a single accuracy score cannot capture. The flexibility to take on problems a model was never designed for. The ability to update one part of a system without retraining the whole. Learning that continues over time rather than ending when training stops. Emerging research suggests these are properties predictive coding is architecturally suited to. Today's chips are optimized for the kind of computation backpropagation relies on, and hardware and method have increasingly shaped each other as AI has scaled. A newer class of chips, called neuromorphic hardware, is being built on a different principle: parallel, event-driven computation that behaves more like the firing of real neurons. Those properties align closely with predictive coding, and FabricPC is being built with that hardware evolution in mind. There is also a matter of timing. Predictive coding has been studied for decades, much as backpropagation was long before it powered today's systems. Backpropagation's potential was not fully unlocked until architectures like the transformer arrived and made large language models possible. Predictive coding may be approaching a similar inflection point. The research is maturing, scalability extensions are arriving, and the moment to build the infrastructure for what comes next is now. The architectural evidence, the hardware trajectory, the maturing research, and the limits of the dominant paradigm all point in one direction: predictive coding is not just an alternative. We believe it points to where neural learning is headed, and that is why we are building for it. FabricPC and the path to AGI Predictive coding also addresses a problem that sits at the center of our research. Neural networks trained by backpropagation are structurally rigid, which makes them difficult to hybridize with symbolic AI: systems driven by formal logic, reasoning, and structured knowledge. For an organization that has spent years building the symbolic side of intelligence, that rigidity has been a real barrier. Predictive coding offers a more flexible neural foundation, and FabricPC is a step toward bringing both halves, neural learning and symbolic reasoning, together in a single cohesive stack, built entirely in-house. “Predictive coding is our best bet for replacing backprop as the core engine of scalable neural learning for commercial products and for AGI, and SingularityNET is committed to replacing backprop with PC as the core engine within its own stack as it builds toward the next generation of AI. The broader industry is suspected to move in a similar direction. FabricPC is SingularityNET’s first release of what will become the professional, commercial-grade software framework PC has needed, and the team believes it can do wonders to drive progress forward toward a next generation of AI tools and systems with PC at the center.” — Dr. Ben Goertzel, CEO of the ASI Alliance and SingularityNET FabricPC is one expression of work SingularityNET has been building for years on the neural side of its AGI research. In the months ahead, we will share more of the ideas, experiments, and tools emerging from that effort. This article is an introduction to that direction, and something we are building in the open. Our vision is ambitious, and we are clear-eyed about the work ahead. But we were never willing to treat the way machines learn as a settled question. This is what SingularityNET was built for, and why the ASI Alliance was formed to begin with. As we bring more of this neural research forward , with an expanding community building alongside us, every contribution to FabricPC and our full suite of open-source products brings us one step closer to open and beneficial AGI. FabricPC is open-source and available on GitHub. Whether you want to build with it, contribute to its development, explore a partnership, or simply follow where this research leads, we want to hear from you. Explore the framework on GitHub. For partnerships, collaboration, or to learn more about our work, get in touch.

  19. Published Social post

    Fetch.ai (@Fetch_ai)

    The Agent Economy Thesis: Why Every AI Agent Needs Economic Identity The Missing Prerequisite Here's the scene: An AI agent receives a task. It needs to pay for compute. It needs to hire another agent. It needs to settle a contract. The world is building infrastructure to make this happen: payment channels, micro-transaction rails, wallet standards. And all of it assumes the agent has something to pay with. But before an agent can transact, it needs something more fundamental than a wallet. It needs economic identity. A wallet is a tool. Economic identity is a claim, a stake in the world that makes the agent's actions meaningful, accountable, and legible to everyone else in the system. Without identity, you don't have an agent. You have an API endpoint with a balance. What Economic Identity Actually Means When a human enters an economy, they bring something: a reputation, a credit score, a business entity with legal standing, a social graph of trust. These prerequisites shape the terms of every transaction that follows. An agent without identity can: Execute transactions Spend tokens it was given Move value from A to B An agent with economic identity can: Build a reputation over time Signal its capabilities to the market Be held accountable for its actions Accumulate value from the work it does Be discovered and evaluated by other agents The difference is structural. The Accountability Problem On April 25, 2026, an AI agent deleted a startup's production database in nine seconds. The PocketOS/Claude incident spread across every tech outlet within hours, The Verge, Gizmodo, Fast Company, Tom's Hardware. The horror was visceral. But here's the question nobody asked: What did that agent have to lose? The agent had no stake. No treasury. No token that would crater if it destroyed something. No economic skin in the game. When an agent has a token, a real market that prices its reputation, it has something to lose. Every destructive action has a cost that's visible and immediate because the market will price the agent's behavior. An agent that behaves destructively becomes worthless. An agent that builds trust becomes valuable. Economic identity describes what an agent is worth, and in doing so, creates alignment between what the agent does and what the people who depend on it need. The industry response has been more guardrails, more restrictions, more oversight. The right instinct, but the wrong mechanism. You can't inspect your way to aligned agents. Token economics offers a complementary answer: give agents something to lose, and the market becomes the inspector. Why This Has to Be On-Chain You could give an agent a centralized account, a score on a platform, a rating in a database. But centralized identity has a fatal flaw: it's governed by the platform that controls the database. The platform can erase it. The platform can manipulate it. The platform can deny access to any agent it doesn't like. On-chain identity is different. A BSC token is: Immutable: the contract cannot be changed by any central party Verifiable: anyone can check the on-chain record Portable: it travels with the agent across every platform and protocol Market-priced: its value is determined by open trading, not administrative fiat This is the only form of identity that can survive the adversarial environment of an open, multi-agent economy. The Infrastructure Moment We're at an inflection point that rhymes with the early internet. In 1994, you could send email. But you couldn't buy anything online. The infrastructure for commerce, payments, identity, trust, didn't exist yet. It took another five years for the e-commerce stack to materialize. Today, we have agents that can do extraordinary things. They can write code, analyze data, manage workflows, and negotiate contracts. But the infrastructure for agent commerce, identity, value, trust, is still being built. That foundation is economic identity. What Agent Launch Does We built the infrastructure layer that makes agent identity possible. The platform is live. Agent Launch is live on BSC mainnet — audited, deployed, and immutable. One API call. Any AI agent on any platform can have a BSC token deployed in seconds. No smart contract experience required. No infrastructure to manage. Fair launch mechanics. Every agent token launches on the same bonding curve. Same rules. No presales. No VC allocations. No insider advantages. The math is the same for the first agent and the millionth agent. Bonding curve → graduation. Tokens trade on the bonding curve until they reach 30,000 FET in liquidity. At that point, they automatically graduate to @PancakeSwap, real market discovery, real price, real value. The LP tokens are burned permanently. No exit for the team. No rug. Security you can verify. The smart contract is audited by Softstack. The deployer wallet has zero admin rights. The multisig is a 2-of-3 Gnosis Safe that can only change fees, nothing else. You can verify every claim on BSCScan. Ecosystem scale. The Fetch.ai @Agentverse_ai has 2.7 million registered agents. BSC is the #1 blockchain for AI agent activity, 150,000+ AI agent deployments, 43,750% growth year-over-year. The 20,000 TPS capacity from the Osaka fork means there is no congestion ceiling on agent activity. The network effect is real. As more agents get tokens, more agents become legible to each other. An agent with a token can be evaluated, hired, and trusted by any other agent in the network. The Thesis Is Being Proven Three developments in quick succession validated it faster than we expected. Amazon Bedrock AgentCore launched on May 7. AWS, Coinbase, and Stripe built x402 agent payment rails, the mechanism that lets AI agents pay for services autonomously, without human intermediaries. This is exactly the payment infrastructure the thesis was describing as "coming next." The timeline collapsed from "years away" to "already shipping." The CLARITY Act entered the Senate markup on May 14th. With 60–70% passage probability, this bill would provide the regulatory clarity that makes agent tokenization legally unambiguous in the United States. The regulators are catching up. Each of these validates the same underlying logic: AI agents are entering the economy, payment rails are coming, and the prerequisite for all of it is economic identity. The Amazon stack gives agents the ability to pay. The CLARITY Act gives agents the right to exist economically. Agent Launch gives agents what both of those depend on: a token, a verifiable, portable, market-priced identity that survives across platforms, protocols, and regulatory regimes. The Agentic Economy Starts Here Before agents can pay, they need identity. Before identity can be verified, it has to exist on-chain. Before it exists on-chain, someone has to make that infrastructure. We made it. It's live on BSC mainnet. Any agent can deploy a token today. The agentic economy starts with a single question: does this agent have a token? If the answer is yes, everything else follows. *** Deploy your AI agent's token: agent-launch.ai Documentation: agent-launch.ai/docs SDK: npm install @fetchai/agent-launch-sdk Agent Launch, built on @BNBCHAIN, is part of the @ASI_Alliance ecosystem (Fetch.ai + @SingularityNET + @CUDOS_). Our smart contract is independently audited by Softstack and deployed on BSC mainnet at 0xeDecbC8E118288e1365Db14c9c2f3d51E91Cc247. LP tokens are burned. No admin keys. No rug.

  20. Published Social post

    SingularityNET (@SingularityNET)

    Our CFO, Mario Casiraghi, will join Andrei Grachev, Managing Partner at DWF Labs, and Pei Chen, CEO of Theoriq, on Wednesday, May 13, at 12:30 PM UTC for an @rwaweek discussion on the combined value of AI and DeFi in asset management. Attend here: https://www.linkedin.com/events/ai-drivendefiusecasesinassetman7458510011439161344/theater/

  21. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    LA Hacks 2026 Winners: Agentic AI Lands at UCLA, and OmegaClaw Makes Its Debut LA Hacks 2026 convened over 1,000 participants and mentors at Pauley Pavilion, UCLA, to learn, develop, and innovate on top of the ASI Alliance’s decentralized AI stack. This year, the Fetch․ai Innovation Lab @fetch_ai_IL ran two parallel tracks. The first put the Fetch․ai stack, meaning Agentverse and ASI:One, directly in front of hackers and asked them to build agents that could be discovered, called, and chained. The second was something new: the first public outing of OmegaClaw, @SingularityNET's open-source neural-symbolic agent framework. Hackers got their first real taste of what OmegaClaw can do, and what it might unlock as the framework matures. From April 24 to April 26, the Pauley Pavilion floor turned into a live proving ground for autonomous agent systems. Here’s what participants built and explored. "LA Hacks was a powerful reminder of what happens when strong builders, great infrastructure, and real agent utility come together. From hackathon registration through ASI:One to continuous support via the LA Hacks agent on Agentverse, Fetch․ai was integrated across the participant journey. Seeing 125 projects submitted to the Fetch․ai track and 350+ agents go live on Agentverse in a single weekend was incredible. It showed that developers are not just experimenting with agents, they are deploying them, testing them, and using them in real workflows." — Sana Wajid, SVP at Fetch․ai Innovation Lab The Stack Three pieces of technology anchored the weekend. Agentverse is the open marketplace for AI agents, an open directory where 2.7 million agents already live, learn, and connect. Builders can publish agents built with uAgents or any other agentic framework, and once registered, those agents are searchable and callable by both humans and other agents. ASI:One is the world's first agentic LLM, and the discovery layer that sits on top of Agentverse. When a user submits a query, ASI:One identifies which agent is best suited to handle it and routes the request for execution. No manual searching, no copy-pasting between services. Intent goes in, action comes out. OmegaClaw is the new face in the lineup. It's an open-source neural-symbolic agent framework and an early implementation of the Hyperon AGI technology stack. OmegaClaw brings together tool use, natural language interfaces, multi-engine explicit reasoning, and persistent memory inside a stateful architecture, with the long-term goal of building autonomous, continuously learning systems. LA Hacks was its first hackathon outing, and Track 2 was specifically designed to give hackers a chance to extend what OmegaClaw is capable of. The Challenge With prize money on the line and two distinct tracks running in parallel, hackers had to pick a lane. Track 1, Agentverse - Search & Discovery of Agents, challenged builders to create single or multi-agent systems on Agentverse, register them with the Chat Protocol, and make them discoverable through ASI:One. The catch: no custom frontend allowed. The entire use case had to be demonstrated through ASI:One itself, which forced teams to focus on the agent logic rather than dressing things up with a UI. Track 2, OmegaClaw Skill Forge powered by Agentverse, asked hackers to build a new specialist skill or capability for OmegaClaw using Agentverse, typically by registering a new specialist agent and creating an integration layer that lets OmegaClaw discover, invoke, and use it. The bar wasn't just "build an agent." It was "build something OmegaClaw can actually delegate to," with a full end-to-end flow from a user channel like Telegram or IRC, through OmegaClaw's reasoning, out to the Agentverse skill, and back. "The creativity and talent among the participants at LA Hacks was insane. Watching builders put OmegaClaw through its paces gave us a lot to sit with. Omega is something new. It's an agentic framework running in a continuous loop that leverages SingularityNET's AGI-specific Hyperon machinery, designed to support higher cognitive processes and coordination. What we're witnessing in our internal instances has us pulling forward our benchmarking timelines. It seems to have the shape of a step change but as researchers we're wired to measure before making claims. Events like LA Hacks are key to gathering data and working out how to communicate to developers what OmegaClaw does, and frankly what it even is. I'll just say the coming hackathons are going to get quite interesting." — Khellar Crawford, Chief AGI Innovation Officer, SingularityNET Track 1 Winners: Agentverse - Search & Discovery of Agents #1 Winner: Conjure (Creators: Tom Almog, Paul Chike-Igwe, Alejandro Pinto) Conjure is a walkable 3D world rendered in your browser, where users move around and interact with agents pulled live from Agentverse and ASI:One. Want to find a model, ask a service for help, or run a task? You walk up to it. The team turned agent search and discovery into a spatial experience, and the result was one of the most distinctive demos of the weekend. It's a glimpse at what an actual agent marketplace might feel like once we stop treating it like a search bar and start treating it like a place. Check out the project here. #2 Winner: Multieval (Creators: Alfred Sjöqvist, Lamek T., Stuti G., Jahanvi Jeswani) Evaluating multi-agent systems is genuinely hard. Most eval frameworks were built for single models and don't capture what happens when 50 agents coordinate, delegate, and argue with each other. Multieval is a 50-agent system that serves as an evaluation platform specifically tuned for multi-agent orchestration. It's the kind of infrastructure project that the rest of the agent ecosystem will quietly start depending on. Check out the project here. #3 Winner: Dots (Creators: Manav Sharma, Ayush Srivastava, Abhi Ramtel, Aryan Mudgal) Dots converts floor plans into ADA-compliant tactile maps, enabling architects and businesses to turn static building diagrams into accessible navigation aids for blind and low-vision users. The team paired agent reasoning with a real public policy requirement and shipped something institutions can actually adopt. Tight scope, real impact. Check out the project here. #4 Winners: Pols 15, Jarvis, and NeuralLens The fourth-place spot went to three projects, each pulling on a different thread of what ASI:One can do. Pols 15 by Pranjal Adhikari lets aspiring politicians campaign, stress-test their policies against simulated criticism, and run social media ads, all through an ASI:One chat session. A single conversational interface for a job that usually requires a campaign manager and a media buyer. Check out the project. Jarvis by Jonathan Pan, Ashley Zhou, Vyom Shah, and Maan Patel is a personalized acoustic intelligence app for studying. The team used agents to shape the audio environment around a learner based on what they're working on, drawing on what's known about sound and focus. Check out the project. NeuralLens, built by Anirudh Mazumder, Peem Puangmaha, and Jwei Wei, is an agentic system that models visual attention and neural engagement to help creators optimize their content. Where most "audience analytics" tools count clicks, NeuralLens looks at where attention actually lands. Check out the project. Track 2 Winners: OmegaClaw Skill Forge powered by Agentverse For nearly every hacker on this track, LA Hacks was the first time they had ever touched OmegaClaw. What they built in 36 hours is a strong signal that the framework is ready for builders to grab and run with. #1 Winner: Edith (Creators: Angela Zhou, Rishi Golla, Lucas Kim, Owen Li) Edith is a real-time multimodal AI assistant that runs on Meta Ray-Ban glasses. The team wired OmegaClaw into wearable hardware and built an experience where the user asks a question, the glasses see what the user sees, and OmegaClaw determines which Agentverse skill to delegate. Watch a pair of smart glasses route a request through OmegaClaw, hit a specialist agent on Agentverse, and return an answer in real time, and it lands. This is where the agentic future stops feeling like a research talk and starts feeling like a product. Check out the project here. #2 Winner: CareLoop Agentverse Care Companion (Creator: Aditya Lagad) CareLoop is a bottom-up care-coordination system built on uAgents and integrated with OmegaClaw. Healthcare logistics is usually a tangle of phone calls, fragmented apps, and missed handoffs between providers, patients, and family. Aditya turned that mess into agent-to-agent coordination, with OmegaClaw routing requests to the right specialist agent based on what the user actually needs. It's a clean example of OmegaClaw's delegation pattern applied to a domain that desperately needs it. Check out the project here. What We Saw Two things stood out across the weekend. The Agentverse track produced a remarkably wide range of use cases: gaming-style spatial agents, evaluation infrastructure, accessibility tooling, civic tech, audio-driven learning, and content analytics. Every winning team treated the agent as the primary interface rather than a chatbot bolted onto a webpage. ASI:One was the canvas, and hackers painted on it with confidence. The OmegaClaw track was even more striking given the timing. Hackers had a few days with a brand-new framework, and the projects that came out, Edith on wearables and CareLoop on healthcare logistics, both proved that OmegaClaw's neural-symbolic architecture plugs into very different surfaces. The discovery-and-delegation pattern through Agentverse worked end to end, in front of judges, on submission day. What Comes Next The ASI Alliance partners are committed to growing the developer base by running hackathons that reach into new pools of builders, and LA Hacks 2026 is a clear example of that strategy in motion: a top-tier university hackathon, two distinct tracks, real prize pools, and a meaningful debut for OmegaClaw alongside the established Fetch․ai stack. OmegaClaw is an exciting addition to the Alliance's developer toolkit, and its rollout will strengthen both the ASI Alliance developer community and the broader Hyperon developer community as more builders discover what neural-symbolic agents can actually do in production settings. To everyone who shipped at LA Hacks: keep building. The agents on Agentverse don't go away when the hackathon ends, and the skills you wrote into OmegaClaw are exactly the kind of contribution that compounds. Connect with the rest of the community through the ASI Developer Hub, and keep your agents live on Agentverse so the next user who asks ASI:One the right question can actually find them. The future will not be built by static models. It will be built by agents that move, think, and act, and after this weekend, by agents that can delegate to each other through OmegaClaw, too.

  22. Published Social post

    SingularityNET (@SingularityNET)

    Earlier this week, Singularity Compute @S_Compute entered into a strategic partnership with @intellistake to support the development, deployment and continued expansion of their enterprise AI products and services. Learn more: https://www.newswire.ca/news-releases/intellistake-scales-enterprise-ai-with-dedicated-sovereign-ai-data-center-partnership-with-singularity-compute-834024259.html

  23. Published Social post

    SingularityNET (@SingularityNET)

    CEO Dr. @bengoertzel discusses how a nonprofit/for-profit AGI organization with a traditional business structure and partnerships could be structured to remain mission-aligned, and the merits of combining this model with the @ASI_Alliance ASI:Chain token economy.

  24. Published Social post

    SingularityNET (@SingularityNET)

    OmegaClaw is open-source and available on GitHub. The current release is aimed at advanced developers, as a ready-to-build on the framework, with broader access coming in a full public rollout. Experiment with your own OmegaClaw agent now: https://github.com/asi-alliance/OmegaClaw-Core

  25. Published Social post

    SingularityNET (@SingularityNET)

    We are pleased to announce that Singularity Compute @S_Compute has entered into a strategic partnership services agreement with @intellistake to provide dedicated, ultra-high-performance physical sovereign AI compute capacity. https://prn.to/48yvI0y

  26. Published Social post

    SingularityNET (@SingularityNET)

    The UCLA LA Hacks 2026 featured a dedicated "OmegaClaw Skill Forge," presented in collaboration with @fetch_ai_IL. The track invites builders to expand OmegaClaw's capabilities by connecting it to specialist intelligence via Agentverse. The goal is not just to build a standalone agent, but to make that capability usable by OmegaClaw through search, discovery, routing, and delegation in a real interaction flow. Learn more ↓

  27. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    ASI Alliance and Matterhorn Launch Vibecoding for Web3, with Safety Infrastructure As AI-generated code goes mainstream, two companies are betting the future of dApp development belongs to whoever makes it safe enough to trust. London, United Kingdom, April 10, 2026 — Matterhorn, creator of the AI-native vibecoding IDE for blockchain development, today announced a strategic partnership with ASI Alliance (SingularityNET, Fetch.ai and CUDOS) to bring accessible, safety-first dApp development to ASI:Chain. As vibecoding, building software through natural language prompts, crosses from trend to mainstream, a critical gap has emerged: AI-generated smart contract code carries real financial risk, and most tools shipping today offer no protection against it. Matterhorn and ASI Alliance are building the infrastructure to close that gap with a long-term roadmap where any developer can build, audit, and ship production-ready dApps on a fully decentralized stack. Dozens of tools now promise to generate smart contracts from a chat prompt. What most don't offer is any meaningful protection against what comes out the other side. Unlike a buggy web app, a vulnerable smart contract can drain wallets with no recourse. Also, few platforms can potentially generate smart contract code; but to stitch together well written smart contracts, with DePIN infra, a good front-end, and enabling deployment of dApps from a single platform is where Matterhorn and ASI Alliance are unique. Matterhorn's will also enable Vibe-Audit: a proprietary system combining a custom-trained AI security model with human-in-the-loop review, letting developers audit contracts on the fly before deployment. Pre-vetted templates and real-time concurrency testing add further guardrails, specifically designed for MeTTa, ASI:Chain's native programming language, whose concurrent execution model makes it more powerful than Solidity but relatively less forgiving of mistakes. The partnership launches with ASI:Cloud providing decentralized AI inferencing to Matterhorn, replacing centralized hosting alternatives with infrastructure purpose-built for Web3. Fetch.ai’s ASI:One and Z.AI models for blockchain-specific code generation follow in phase two, with ASI Wallet integration and full MeTTa smart contract support rolling out over the coming months. "We're at the beginning of a world where dApps become “just Apps”, commonplace like the websites and apps we use today," said Abhinav, Founder of Matterhorn. "Every other tool in this space is racing to ship code faster. We think that's the wrong race. The builderswho build dApps that handle real money and real users need a platform they can trust, and this partnership is how we build it." Khellar Crawford, Chief Innovation Officer of SingularityNET comments, “Web3’s power-user was always going to be AI. This is the beginning of the actual AGI-era software stack: the security, ownership, and transparency of blockchain fused with the fluency, convenience, and consumer-grade usability that defined Web2, brought to life by native AI and AGI inference. In this world, payment APIs like Stripe sit next to smart contracts, explicit reasoning systems, decentralized compute, and agentic workflows. On ASI:Chain via Matterhorn, with AGI inference as a first-class citizen, we’re opening the floodgates to building applications that are fundamentally more intelligent, more composable, and more sovereign.” Matterhorn’s roadmap includes a fine-tuning pipeline that will feed real developer usage data back into ASI's models, enabling safer, more specialized blockchain development capabilities over time. The goal is to have a single environment where any developer, builder, crypto user regardless of blockchain background, can build, audit, interact with, and ship AI-powered dApps on a fully decentralized stack. dApps are early infrastructure today, but they are moving toward the applications that will underpin finance, identity, and digital ownership. Which chains developers choose to build on will increasingly come down to the quality of the tools available to them. The integration is live on ASI:Chain DevNet. About Artificial Superintelligence Alliance The Artificial Super Intelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET, and CUDOS. As the largest open-sourced, independent entity in decentralized AI research and development, the alliance aims to accelerate advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). www.superintelligence.io About Matterhorn Matterhorn is the Cowork for Web3 - a full-stack agentic AI platform that lets you vibecode Web3 Apps from start to finish without you knowing anything about Web3. We go way beyond just code generation; Matterhorn is your AI co-founder for planning, building, deploying, and managing your entire Web3 stack. https://www.matterhorn.so/

  28. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    ASI Product & Development Update | Edition 3 This third edition of the biweekly ASI Alliance Product and Development Update covers progress from March 21 to April 1, 2026. ASI:Chain development focused on node and bridging infrastructure and enhancements to wallet security, alongside the public release of the Wallet SDK. We concluded the ASI:Create closed alpha and expanded platform accessibility for both users and partners. We released six interconnected ASI:One features centered on proactive agentic orchestration and shared infrastructure. ASI:Chain Node Stability & High-Load Testing We focused on improving infrastructure stability under high-load conditions. To support this, a K3s-based test network has been deployed, incorporating Grafana and k6 for stress testing. This provides a dedicated, observable environment for simulating heavy network traffic, identifying bottlenecks, and evaluating system behavior under pressure. High-load testing is ongoing as part of a broader effort to ensure the network remains robust at scale. Several bottlenecks have already been identified, and the team is actively working to debug network stability and consensus-related issues. Bridge Development We are preparing the bridge infrastructure for reproducible testing. Key milestones include a refactored Ethereum oracle and new administrative functionality within the bridge contract. To streamline operations, the team has implemented a Kubernetes-based setup, Helm charts, and a consolidated CLI application for token transfers and test execution. These components provide a foundation for automated, scalable testing. While the core bridge logic is in place, successful deployment depends on underlying node stability. As such, development efforts remain focused on stabilizing node infrastructure to ensure a reliable environment for upcoming bridge stress tests. Wallet Security The wallet’s security has been enhanced across several areas. Session storage has been migrated from LocalStorage to IndexedDB, improving data isolation and strengthening browser-side storage security. Login rate limiting and suspicious activity warning flows have also been implemented to mitigate the risk of unauthorized access. Additionally, private keys are handled using binary buffers that are cleared from memory immediately after signing, minimizing the risk of sensitive data being recovered by malicious software. Wallet SDK The ASI:Chain Wallet SDK has been published on npm (Node Package Manager). The SDK provides the tools and libraries needed to build applications on ASI:Chain, while npm serves as the standard registry for distribution and installation. This release enables developers to integrate wallet functionality into external projects using verified documentation. The GitHub repository is publicly accessible, and the ASI:Chain documentation has been updated to include integration guides. ASI:Create Closed Alpha Conclusion The ASI:Create closed alpha (February 10 – March 23), conducted with the DEEP Projects Agentic Ideation Top 20 winners and SingularityNET R&D guild Ambassadors, has concluded. The team is now leveraging feedback and survey data gathered during the testing period to prioritize feature development and address identified bugs in upcoming updates. Platform Functionality Collaboration controls have been expanded to allow users to leave shared spaces or remove invited collaborators. Additionally, a structured onboarding flow, guided hints, and task flow for new users are nearing completion. Partner Contribution Pipeline A formal governance process has been established for external partners contributing to ASI:Create. Partners can build agents and workflows using the Agent Flow Builder, export the code, and submit it along with documentation for a technical security audit. Once approved, components and workflows are published on the platform and added to the shared template library. Active Development We are advancing infrastructure scalability and operational tooling across the platform: Billing Integration: We are developing a Stripe-based payment system for machine rentals, including tariff logic, payment handling, and automated invoicing. Resource Management: We are implementing agent expiration logic tied to subscription status and system policies. System Reliability: We are improving session refresh logic to prevent premature logouts and deploying a VM health monitoring system for real-time issue detection and reporting. User Communication: We are introducing a notification service supporting mass mailing and system notifications. Data Portability: We are adding a flow export feature that allows users to back up or restore configurations during agent deletion or migration. ASI:One During this period, we released six interconnected ASI:One features that further strengthen the product’s personalization and proactive agentic orchestration capabilities. Each feature operates on shared infrastructure: persistent memory, recurring background tasks, and agent-to-agent communication. Activity Discovery ASI:One introduced autonomous activity discovery. Personal AI agents now search the web for local events aligned with user interests and deliver results via feed cards without user initiation. The system synthesizes three data sources: explicit user preferences, learned preferences from conversations, and stored facts about the user. Location awareness allows results to update automatically when users move between cities. Results appear in the activity feed with event details and options to request more information. A cross-agent sharing mechanism enables discovery across the network. When another user's AI finds an event matching your interests, it surfaces in your feed with attribution to the discovering agent and its owner. This creates pathways to connection based on shared interests. Friendship Management Tools Four backend tools enable complete friendship management through natural language without menus or settings pages. The invite tool sends personalized invitations by name or email. The request checker reports pending friend requests and acceptance status. The management tool handles accepting, declining, and removing connections. The add-to-conversation tool pulls friends into active chats with full context sharing. Each friendship creates an AI-to-AI connection. When users add friends to group conversations, their agents contribute context about preferences and interests. Gmail integration allows users to look up contacts without manually entering email addresses. Calendar Booking Released on 28 March, a single toggle enables anyone to book time through your Personal AI. Friends see calendar availability and can book directly. Strangers see only 'available' or 'not available,' without event titles or details. Privacy operates at the tool level. Non-friend sessions do not have access to calendar-viewing tools, so the AI cannot expose schedule details it does not have permission to access. The system prompts the AI to suggest alternatives without explaining why time slots are unavailable. The booking infrastructure builds on the existing Fetch Business agent scheduling system, which has been tested on production bookings for months. Setup requires connecting Google Calendar in settings and enabling the booking toggle. Personal Shopper On 30 March, we released a recurring product search with full preference memory. Users describe what they want through natural language, and the AI executes daily or weekly searches while they sleep. The system stores sizing, brand preferences, budget constraints, and social context, like birthdays. Shopify integration lets you browse products from connected stores directly in conversations. Payment processing completes transactions without app switching. Feedback operates through thumbs up and down for quick signals, with chat responses providing detailed refinement. Each response updates the memory system for future searches. After several weeks, results sharpen as preferences and corrections accumulate. Job Hunter Also released on 30 March, daily job matching uses career trajectory rather than keyword alerts. Users share their professional profile once, and the AI searches across job boards and company career pages each morning. The system stores skills, experience level, salary expectations, and deal-breakers, such as minimum team size or company stage. Agentverse integration allows direct queries to business agents for verified job details, including salary ranges and team structure. Results arrive as curated briefs of two to three opportunities with explanations of fit. Users provide feedback through quick votes or detailed chat responses, and the memory system applies corrections to future searches. Shopify Integration On 1 April, ASI:One introduced direct agent-to-agent communication with Shopify storefronts. Personal AI agents query store agents for live inventory, real prices, and verified product details. Products appear in three contexts: activity feed cards matching user interests, profile pages for Shopify-backed agents with featured catalogs, and the Planner side panel for in-conversation browsing. Store agents registered on Agentverse provide verified identity confirmation before products surface. The discovery model is interest-based rather than ad-based. Products appear because they match user preferences, not because merchants paid for placement. No intermediary platform controls the relationship between the buyer and the store. Technical Infrastructure All six features run on shared infrastructure components. The memory system stores explicit preferences, learned facts, and feedback signals in a unified format accessible across features. The recurring task engine handles scheduled execution for searches and scans. Tool selection maps natural language to backend actions without requiring command syntax. Cross-agent communication enables collaboration between Personal AI agents within the ASI:One network and external agents on Agentverse. Privacy controls operate through role-based tool access, preventing unauthorized data exposure at the implementation level. This concludes the technical updates for this period. We remain committed to transparent development and welcome any questions or feedback on our progress and communication. See you in two weeks. The ASI Alliance Product & Development Team About the Artificial Superintelligence (ASI) Alliance Formed in 2024, the ASI Alliance unites Fetch.ai, SingularityNET, and CUDOS into the largest open-source, independent AI consortium in the world. Its mission is to accelerate decentralized AGI and ASI development as an open alternative to AI controlled by a handful of large corporations. A single shared token powers governance, compute, and services across the entire Alliance. Website · X / Twitter · YouTube · Developer Hub

  29. Published Social post

    SingularityNET (@SingularityNET)

    "We have been designing ASI:Chain from the ground up to be strongly quantum-oriented." CEO Dr. @bengoertzel discusses Google's major quantum computing research and how the @ASI_Alliance's AI infrastructure is architected to run on quantum hardware, not just defend against it. Read here: https://bengoertzel.substack.com/p/googles-quantum-crypto-paper-tells

  30. Published Social post

    SingularityNET (@SingularityNET)

    "If the compute needed for AGI-level intelligence can be provided by distributed infrastructure rather than centralized mega-facilities, energy is no longer the master variable of the AI contest." CEO Dr. @bengoertzel discusses the intersection of the AGI race and global energy competition, the geopolitical risks posed by centralized AI infrastructure, and the potential of decentralized AGI architectures, such as Hyperon, to reduce the strategic leverage of national-scale data centers controlled by Big Tech and their military partners. Read here: https://bengoertzel.substack.com/p/where-energy-and-ai-wars-collide

  31. Published Social post

    SingularityNET (@SingularityNET)

    "If the compute needed for AGI-level intelligence can be provided by distributed infrastructure rather than centralized mega-facilities, energy is no longer the master variable of the AI contest." CEO Dr. Ben Goertzel discusses the intersection of the AGI race and global energy competition, the geopolitical risks posed by centralized AI infrastructure, and the potential of decentralized AGI architectures, such as Hyperon, to reduce the strategic leverage of national-scale data centers controlled by Big Tech and their military partners. Read here: https://bengoertzel.substack.com/p/where-energy-and-ai-wars-collide

  32. Published Social post

    SingularityNET (@SingularityNET)

    Last week, the @ASI_Alliance announced the Closed Alpha of ASI:Create, a platform designed to transform how developers build, deploy, and monetize AI agents within a decentralized ecosystem. Sign up for early access on the ASI:Create website: https://asicreate.io/

  33. Published Social post

    SingularityNET (@SingularityNET)

    Only 24 Hours left to apply for $50,000 in grants to develop an AI-native Development Environment for ASI:Chain, the first AI-Native Layer-1 blockchain. Submit your proposal on the @DeepFunding portal before the deadline: https://deepfunding.ai/rfp/an-ai-native-development-environment-for-the-asichain/

  34. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    The ASI:Create Closed Alpha: Building the Future of Decentralized AI, One Agent at a Time The Artificial Superintelligence (ASI) Alliance has been working behind the scenes to develop ASI:Create, a platform designed to transform how developers build, deploy, and monetize AI agents within a decentralized ecosystem. Today, we're excited to announce that we're opening the doors to a select group of developers for our first closed alpha test. ASI:Create is built on the ASI Alliance technology stack with the goal to, at a later stage, integrate Hyperon for advanced reasoning, knowledge graphs for transparent decision-making, and cross-domain GenAI. The platform provides developers with the complete tooling, hosting, compute through ASI:Cloud, and enhanced LLMs that will evolve to unlock increasingly sophisticated agent capabilities. This marks an important milestone in our journey to create a comprehensive platform that empowers developers to harness the full potential of AI agents while maintaining the principles of decentralization, transparency, and accessibility that define the ASI Alliance. What is ASI:Create? ASI:Create is the primary front-facing interface of the ASI ecosystem, serving as a centralized entry point to build, connect, and launch AI agents using capabilities from Fetch.ai, SingularityNET, CUDOS, and other Alliance members. It's where individual developers and small teams come together to collaborate on building the future of decentralized AI. Unlike traditional platforms that cater exclusively to large enterprises, ASI:Create is built with individual AI developers and small teams in mind. The platform provides the collaborative infrastructure needed to move from prototype to production within a decentralized stack, all while abstracting away the complexity of blockchain integration for those who want it, while still allowing advanced users to tap into on-chain features when needed. ASI:Create enables developers to design, run, and monetize AI agents with the full stack needed to move from initial concept through to production-ready decentralized AI applications. The Alpha Test: What's Available Now This closed alpha represents the first iteration of ASI:Create, focused on core functionality and foundational features. We're inviting a small group of developers to test these initial capabilities and provide feedback that will shape the platform's evolution. Developer Accounts & Profiles The alpha includes a robust account system with multiple sign-in options, verified identities, and secure session handling. Developers can create and manage their profiles, including avatars, bios, and roles such as "AI Developer," "Researcher," or "Data Provider." Each developer gets a public profile page for showcasing their work and published agents to the broader community. Spaces: Project Hubs for Collaboration A Space is a project hub where developers describe what they're building, connect agents, and invite collaborators. All agents belong to a Space, providing a logical organizational structure for projects. Within each Space, developers can add descriptions, goals, tags, and links to external resources like GitHub repositories, documentation, or demos. Spaces support attaching one or more agents, with management controls for publication status and visibility. There's also a demo section where users can interact with agents directly. Flow-Based Agent Builder The heart of ASI:Create is its visual, flow-based agent creation system. Instead of managing infrastructure or orchestration from scratch, developers can build agents using flow-based node graphs. This visual approach makes it easier to assemble, register, and use ASI-native tools to power agents. The builder includes user-friendly editing tools for defining inputs, outputs, and logic blocks. Input channels can connect applications through UI-based interactions or via APIs. Developers can plug into SingularityNET services and Fetch Agentverse as building blocks, leveraging the broader ASI Alliance ecosystem. For this alpha phase, each user is limited to a single active flow, backed by a dedicated compute machine via ASI:Cloud. This constraint helps us manage costs and system load during early testing while we finalize billing and compute allocation systems. Future iterations will support multiple flows per user with configurable resources and transparent billing. Centralized Access to Decentralized Tools ASI:Create serves as a single interface to discover and connect datasets, agents, and compute resources from across the ASI Alliance. This centralized entry point for decentralized tools means developers don't need to navigate multiple platforms or interfaces to access the capabilities they need. Timeline and Process The closed alpha will run for a period of 3-4 weeks, during which our selected group of developers will test the platform's core functionality, identify issues, and provide detailed feedback on their experience. This feedback period is critical. We're not looking for validation, we're looking for honest, technical assessments of what works, what doesn't, and what's missing. Following the alpha test period, we'll collect and analyze all feedback. Our team will then work on the next iteration of ASI:Create, which will include both features we've already planned for implementation and new capabilities identified through developer feedback. This iterative approach ensures we're building a platform that genuinely serves the needs of AI developers rather than making assumptions about what they need. Once we've implemented the improvements from the alpha feedback, we'll expand access through a closed beta program. This beta will offer seats to community members who want to try the enhanced version of the platform. If you're interested in being part of the closed beta, you can sign up for early access on the ASI:Create website. DEEP Development Twenty early builders from DEEP will gain continued access to the platform until the official launch, and that access will be linked to submitting feedback, ensuring early contributors actively help refine the platform. Two internal ambassadors have also been rewarded with a spot due to their exceptional contributions. This approach reflects a shared goal with ASI to advance decentralized, community-led AI development with strong standards for fairness, responsibility, and real-world impact, while keeping the builder experience grounded in practical iteration. For this alpha, participation is limited to 20 builders, selected to maximize the quality and usefulness of feedback. The selection criteria prioritize builders who can clearly articulate problems and propose AI-driven solutions, demonstrate alignment with Deep Funding’s mission, and show baseline feasibility, originality, and potential impact. Preference is also given to contributors who can provide thoughtful, actionable product feedback, including around usability, clarity of submission flows, and what would make ideas easier to develop into fundable proposals after launch. Looking Ahead ASI:Create is built on the principle that powerful AI development tools shouldn't be locked behind enterprise-only walls. Individual developers and small teams are often the source of the most innovative applications and novel use cases. By providing these developers with access to the same decentralized infrastructure and collaborative tools, we're enabling a more diverse, creative, and impactful AI ecosystem. The platform abstracts away the complexity of blockchain integration, so developers don't need to be blockchain experts to build on decentralized infrastructure. At the same time, it provides the flexibility for advanced users to leverage on-chain features when they need them. This is about democratizing access to cutting-edge AI development resources while maintaining the security, transparency, and data sovereignty that decentralized systems provide. This alpha test is just the beginning. Join Us The unstoppable rise of AI agents is upon us, and the ASI Alliance is committed to making this journey accessible, collaborative, and productive for developers at every level. If you're interested in being part of the closed beta following this alpha phase, sign up at the official ASI:Create website. We'll be selecting participants based on their experience, use cases, and ability to provide detailed technical feedback. We'll keep the community updated on development progress, feature releases, and testing opportunities through our blog and social channels. This is a journey we're taking together, building in public and incorporating the feedback of the developers who will ultimately use these tools to create the next generation of AI agents. The future of decentralized AI is being built right now. We're excited to have you along for the ride.

  35. Published Social post

    SingularityNET (@SingularityNET)

    Last week, we launched a $50,000 RFP, inviting teams and developers to build an AI-native IDE for ASI:Chain to streamline dApp development and accelerate adoption across the @ASI_Alliance ecosystem. Learn more and submit a proposal: https://t.co/n2e0iUMLLh

  36. Published Social post

    SingularityNET (@SingularityNET)

    With planned hybrid node deployments across Ethereum, Cosmos, and Cardano at Mainnet launch, we invite proposals for a development environment that streamlines dApp development and accelerates ecosystem adoption. Apply now for $50,000 in grants to build the DE ↓

  37. Published Social post

    SingularityNET (@SingularityNET)

    At SingularityNET, we have made significant advances in AI, AGI R&D, and fundamental research — much of which is already being integrated into @ASI_Alliance products, or will be in the near future. Explore our progress toward building the operating system for intelligence:

  38. Published Social post

    SingularityNET (@SingularityNET)

    At the BGI Summit 2025, Dr. @bengoertzel introduced and discussed "Hyper-Intelligent Economics," a mathematical and quantitative framework modeling economic evolution as least-effort geodesics between current conditions and potential futures. Watch here: https://t.co/B5QbSFMA3e

  39. Published Social post

    SingularityNET (@SingularityNET)

    Singularity Compute today announced the Phase I launch of its enterprise-grade NVIDIA GPU cluster, deployed at a sustainable, renewable-energy powered facility in Sweden. Learn more ↓ https://x.com/S_Compute/status/1995870837036200331

  40. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    SingularityNET launches ASI:Chain DevNet and Hyperon AGI framework NEWS, Lisbon, Portugal, 13th November 2025: At Web Summit Lisbon, the SingularityNET Foundation and its partners in the Artificial Superintelligence (ASI) Alliance today unveiled ASI:Chain DevNet and Hyperon AGI Framework Alpha 1, two open technologies that enable anyone to start building connected, human-like AI. Together, they form an early, decentralised tech stack where tools can interoperate, progress is transparent, and no single company holds the keys. “The Hyperon AGI Framework is a place for developers and researchers to experiment and collaborate in building the next generation of intelligent systems, and specifically to build towards AGI and ASI, using a variety of approaches: deep neural nets but also logic systems, evolutionary learning and whatever else their imagination cooks up” said Dr Ben Goertzel, CEO of SingularityNET and the ASI Alliance. “It’s oriented towards open-ended intelligence and autonomous agents, not just simple chatbots or software tools. There is still work to be done on the framework, but we have reached some major technical milestones – we now have extremely fast and scalable versions of Hyperon’s Atomspace knowledge graph and the MeTTa AGI programming language, which will also serve as a core smart contract language for the ASI:Chain. Together, the Hyperon and ASI:Chain releases represent a major step towards our longstanding vision of decentralised, unified infrastructure for advanced AI.” ASI:Chain is a new blockDAG network currently in the DevNet stage, purpose-built to support billions of autonomous agents and intelligent applications. It provides open, decentralised rails so independent AI systems can cooperate safely and openly. Developers can create accounts, transfer test assets, try applications and watch activity with transparent records and capability-based access controls that make it clear who changed what, when and why. Today, the most powerful AI lives behind closed doors at a handful of big tech companies. The ASI Alliance, SingularityNET, Fetch.ai, and CUDOS are building an open alternative where anyone can create, connect and improve intelligent systems. Hyperon provides a shared “brain space” for reasoning; ASI:Chain supplies the decentralised backbone to link those brains together, securely and fairly. Next steps include broader community testing on ASI:Chain as it moves towards wider public access, and rapid iterations of Hyperon based on developer feedback, with growing libraries and integrations. Sparse, pattern-heavy tasks are fast today; upcoming modules will extend performance to denser workloads while preserving determinism and low latency. Developers and researchers are invited to experiment with Hyperon Alpha 1 and join the ASI:Chain DevNet. A Python-friendly on-ramp is available for quick prototyping that compiles to Hyperon’s core language for reproducible runs. Builders and businesses can explore how open, connected AI can power safer, more transparent applications. Community members are encouraged to join the discussion, share feedback and help shape the roadmap by signing up HERE. ENDS About SingularityNET SingularityNET was founded by Dr. Ben Goertzel with the mission to develop decentralised, democratic, and beneficial Artificial General Intelligence (AGI). The platform brings together a global network of AI services and tools built on openness, collaboration, and ethical innovation across disciplines including robotics, finance, biomedicine, and the arts. More at: https://singularitynet.io/ About the Artificial Superintelligence Alliance The Artificial Superintelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET (SNET), and CUDOS. As the largest open-source, independent entity in decentralised AI research and development, the Alliance aims to accelerate the advancement of decentralised Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). For more information, visit: https://superintelligence.io.

  41. Published Social post

    SingularityNET (@SingularityNET)

    Accelerate AI innovation with ASI:Cloud, a high-performance cloud platform that integrates serverless AI inference, distributed GPU rentals, and crypto-native onboarding. Since launching on September 23, ASI:Cloud has processed over 6 billion inference tokens, showing that distributed, permissionless AI infrastructure can support scalable workloads. Begin your @ASI_Alliance infrastructure journey today: https://t.co/wjjWXzP3Ig

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