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While conversations regarding the geopolitics of artificial intelligence typically center on capital, talent, data, and algorithms, a fierce competition for electricity is actually driving the industry from beneath the surface. CEO Dr. @bengoertzel explores these unfolding energy wars and explains the critical importance of decentralized AGI for maintaining world peace. Discover his complete insights here: https://youtu.be/_u8dgWOr3bs

Together, the AGI Technical Conference Committee and the AGI Society are calling upon industry professionals, academics, and researchers to propose their original findings for AGI-26. We are eager to receive submissions that address any facet of AGI development and research. The event supports diverse definitions of AGI and is particularly interested in work that extends past the boundaries of narrow problem-solving.

Please ensure that all paper submissions are completed no later than April 13th, 2026. You are encouraged to visit the AGI-26 website to locate necessary templates, submission requirements, and guidance on topics.

During the Conference, a variety of accolades will be bestowed upon standout contributors. Distinguished honors include the AGI Society Prize for Best Paper, the Kurzweil Prize for Best AGI Paper, and the Springer Prize for Best Paper. Furthermore, the OpenCog Foundation Best Student Paper Prize will be awarded to recognize student excellence.

A recent publication by Professor Yann LeCun and his co-authors argues that AGI is a flawed and overloaded term, proposing Superhuman Adaptable Intelligence (SAI) as a better framework. CEO Dr. @bengoertzel recently weighed in on this paper. The authors define SAI as an intelligence that can adapt to outperform humans in any task we can accomplish, in addition to handling useful tasks beyond human capabilities.

In his assessment, Dr. Goertzel identifies SAI as a specific parameterization that fits within established theoretical frameworks of general intelligence, most notably Efficient Pragmatic General Intelligence (EPGI). He suggests that the concept would better resolve critical questions concerning long-term AGI development if it included mechanisms for open-ended capability growth and explicit safety constraints.

You are invited to read Dr. Goertzel's full analysis to understand why he categorizes SAI as a special case of AGI rather than a true alternative.

Dr. @bengoertzel, in his capacity as CEO, offers an in-depth look at how the drive for AGI intersects with global energy rivalries. He identifies the geopolitical threats inherent in centralized AI models and proposes decentralized AGI architectures, like Hyperon, as a viable solution. By leveraging these distributed systems, the strategic control currently wielded by Big Tech and military alliances through their national-scale data centers could be significantly reduced.

He succinctly captures this potential shift: "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."

View the complete article here:

According to CEO Dr. Ben Goertzel, the defining factor in the race for Artificial General Intelligence may shift away from energy constraints if we alter our approach to infrastructure. He suggests that if the necessary computational power for AGI can be derived from distributed networks rather than centralized mega-facilities, energy ceases to be the master variable of the AI contest.

Dr. Goertzel explores the critical overlap between the pursuit of AGI and the global competition for energy resources. He identifies the geopolitical dangers associated with centralized AI systems and highlights the promise of decentralized AGI architectures, such as Hyperon. His analysis suggests that these alternatives can effectively diminish the strategic advantage currently held by national-scale data centers, which remain under the control of Big Tech companies and their military partners.

Read the full discussion here:

For developers and researchers dedicated to the pursuit of AGI, we encourage you to participate in the next MeTTa Coders meeting. This session is scheduled for Friday, March 6, at 4:30 PM UTC. The event provides a space for the Hyperon community to convene, review recent advancements in the MeTTa language for cognitive computations, and work together on furthering practical use cases. Be sure to mark these biweekly gatherings on your calendar:

Both the AGI Society and the AGI Technical Conference Committee are officially calling for submissions regarding tutorials, demonstrations of software or hardware, and workshops that run for either a full or half day. We eagerly anticipate proposals focused on inventive subjects that correspond with and support the central AGI-26 agenda. To access the necessary submission guidelines, relevant deadlines, and proposal specifications, please continue to the page linked below.

Original research submissions are now being accepted for AGI-26 by the AGI Society together with the AGI Technical Conference Committee. We welcome contributions from academics, industry professionals, and researchers. Please head over to the Conference website to find specific topic guidelines, templates, and full submission requirements: https://agi-conference.org/call-for-papers

Make plans to attend the 19th Annual Conference on Artificial General Intelligence (AGI-26), set to occur in San Francisco, California, from July 27-30, 2026. You currently have the opportunity to access early bird pricing for this event. Please note that this special rate expires on March 31, 2026. To book your attendance, visit: https://luma.com/AGI-26

Standard blockchain frameworks currently face significant obstacles regarding the native support required for dynamic reasoning patterns and high-performance agent orchestration. Moreover, they are missing the modular infrastructure essential for deploying decentralized AI services at scale.

ASI:Chain was created specifically to solve these issues. By integrating blockDAG architecture with MeTTa, a programming language tailored for advanced cognitive functions, this platform offers a robust solution.

Backend smart contracts utilized by MeTTa are primarily compiled into Rholang, a language mathematically optimized for distributed systems and concurrent processing that was pioneered by https://t.co/hM0xErS7t2. It is Rholang that ensures autonomous agents are capable of executing coordinated actions on a massive scale.

Additionally, contracts in MeTTa compile into extensive graph operations processed by MORK, the MeTTa Optimal Reduction Kernel. This kernel is widely recognized as the most efficient technology currently available for in-RAM graph databases.

Find out more information regarding ASI:Chain:

We encourage developers to examine the ASI:Chain DevNet. This decentralized AI infrastructure affords early access to anyone looking to construct systems upon a Layer 1 blockDAG crafted explicitly for AI-native applications.

You can find further details and begin here: https://superintelligence.io/products/asi-chain/

Leverage the complete ecosystem of data, computing power, and tools provided by @ASI_Alliance to revolutionize the way you develop, launch, and earn revenue from decentralized AI agents. You are invited to secure your spot for early access to the ASI:Create platform today by visiting: https://asicreate.io/

To kickstart your path as an AGI developer, please visit https://metta-lang.dev

The @ASI_Alliance officially introduced the Closed Alpha for ASI:Create last week. This platform is designed to revolutionize the experience for developers looking to build, deploy, and monetize AI agents in a decentralized ecosystem. You can register for early access by visiting the ASI:Create website at https://asicreate.io/

In collaboration with partners, the @S_Compute group provides PoCs, AI pilots, and secure deployments that are specifically customized to fit your requirements. Ranging from domain-specific fine-tuning to knowledge graphs, our comprehensive solutions feature:

Integration of data pipelines and knowledge graph creation
Fine-tuning and domain adaptation paired with evaluation to reduce hallucinations
Setup of MLOps dashboards, observability, and deployment architecture
Professional advisory regarding safety, governance, and cost/performance optimization

Take your AI development to the next level today:

Dr. @bengoertzel, our CEO, recently appeared in Hong Kong to address attendees at the HSC Asset Management Conference hosted by @mpost_io. His discussion centered on the current trajectory of Web3, describing a shift that extends far past digital ownership and into innovative realms of coordination, value creation, and intelligence.