The ASI AI DePIN stack is technology infrastructure that can be used to devise a number of decentralized AI solutions. ASI:Create uses ASI DePIN to deliver an ASI Core node that contains services for cross-chain agent registration, AI, knowledge, data, compute, hosting and

Imagine an AI that learns like a child: through curiosity, experience, and discovery. Introducing AIRIS, a groundbreaking AI system that writes its own expert rules by interacting with its environment—no step-by-step instructions required. Discover how ↓

The Decentralized AI landscape is about to change forever. As a Founding Member of the Artificial Superintelligence Alliance, we readily accept our leadership role in advancing AGI and, ultimately, ASI for the benefit of humanity and other sentient beings.

ASI <Innovation/> Stack Deep Dive Learn more about the initiatives to be revealed in the upcoming Artificial Superintelligence Alliance Roadmap

ASI<Train/> CORTEX - TLDr ASI<Train/> is dedicated to building advanced foundational models across various areas of AI, with a special emphasis on robotics. Our initial goal is to develop and train Cortex, a model designed to improve robotic capabilities significantly through

With the development of OpenCog Hyperon, we aim to take the world from today's small-scale, training data-reliant AI systems to tomorrow's autonomous, cognitively capable machines. We are proud of our R&D progress in 2024 and look forward to sharing updates with the community.

For those interested in the niggly little problem of how to encourage self-modifying AGI systems to maintain invariants related to their goal systems (e.g. goal stability or moderation of the pace of goal evolution) ... some new thoughts on this here ...arxiv.org/abs/2412.16559

We believe there are at least three concrete paths to true AGI, notably our hybrid neural-symbolic Hyperon framework. However, the path to beneficial AGI isn't through corporate control, but through open source development decentralized governance. The race is on Artificial Superintelligence Alliance.

Join NuNet 🌐's technical roadmap discussion for 2025, including: - OpenCog Hyperon integration; - Artificial Superintelligence Alliance node design and integration; - Support for Cardano node deployment; - Machine Learning, AI, and LLM platforms integration. Learn more: bit.ly/NuNet-R2025

What if we could make AI learn more like the human brain - with real-time adaptation and natural reasoning? Active Predictive Coding (ActPC) offers a biologically-inspired solution that could transform how neural networks learn and think. Discover how ↓

MeTTa-Motto: Combining DeepSeek and Advanced LLMs with Symbolic Knowledge and Reasoning Our MeTTa-Motto library facilitates the integration of LLMs with MeTTa, allowing developers to leverage the capabilities of both technologies. This integration enables the development of AI

We formalize and quantify the concept of ”intensional inheritance” between two concepts to guide reasoning in AI and AGI systems, particularly in OpenCog Hyperon and its Probabilistic Logic Networks (PLN) reasoning system: arxiv.org/abs/2501.17393

Our Annual Report for 2024 is now available, highlighting advancements in beneficial AGI R&D and advocacy, decentralized AI Platform development, SingularityNET Compute, and broader ecosystem developments: singularitynet.io/singularitynet…

We laid the foundation for a decentralized and scalable AGI supercomputing ecosystem. Key initiatives included developing strategic infrastructure, forging global partnerships, and optimizing AI workloads to support AGI applications. Learn more about SingulairtyNET Compute ↓

We are excited to announce that Mind Children has signed a commercial agreement with AIMindbot in preparation for the mass production of the Mindbot humanoid robot in South Korea in 2026. Learn more and read a statement from Mind Children CEO, Chris Kudla:

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Join us this Friday, March 21, at 3:30 p.m. UTC, for a new MeTTa Coders session to explore and discuss the latest advancements in the MeTTa AGI language. Add our biweekly meetings to your calendar and stay updated on future sessions: bit.ly/SNET-Events

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U.S. President Donald Trump announced a 500 billion investment in AI infrastructure. 'For AGI to get built here,’ said Sam Altman, CEO of OpenAI. Will these multi-billion data centers get us to AGI, or are we throwing money at the wrong problem? ↓

Computing hardware architecture has evolved from maximizing single-core performance to multiplying parallel processing capacity through more cores, more threads, and higher computational density. This transition demands software architectures specifically designed to exploit