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The deadline to lock in your Super Early Bird pricing is approaching quickly, with under 48 hours remaining. We warmly invite you to gather with the entire AGI community in San Francisco, California, for the 19th Annual AGI Conference (AGI-26).

Find out additional details and complete your registration today:

Time is quickly running out to claim your Super Early Bird rate for the 19th Annual AGI Conference (AGI-26). You have under 48 hours to take advantage of this special pricing and connect with the AGI community in San Francisco, California.

Find out more information and register now:

Our journey toward beneficial AGI is a fascinating topic, and Chief Executive Officer Dr. @bengoertzel recently shared his insights on exactly where we currently stand in this process. To be clear, beneficial AGI refers to artificial intelligence systems capable of imaginative reasoning, learning, and thinking across a wide variety of subjects at a level roughly equal to or exceeding the human mind. Crucially, this includes the ability to master domains and tasks that are not well represented within their original training data.

In his assessment, he argues that observers frequently misunderstand three fundamental components regarding Artificial General Intelligence.

First, the standard default trajectory currently taken toward AGI is not the sole option available, and it might not even be a realistic path. He notes that while LLMs offer a helpful element, they cannot serve as the central cognitive mind-loop or the main memory structure.

Second, establishing decentralized AI is a highly workable concept. This practicality extends far beyond mere physical infrastructure to encompass the actual guidance and control of the technology.

Third, there is a deep link between the builders and the system. The specific degree of consciousness responsible for creating the AGI will directly impact the subsequent level of consciousness found within the AGI itself.

We held a Hyperon AGI workshop in Addis Ababa, discussing our progress in developing the first neural-symbolic framework designed to advance beyond today’s AI systems toward AGI and beneficial ASI.

Follow the thread for on-the-ground insights from CEO Dr. @bengoertzel ↓

CEO Dr. @bengoertzel frames current neural network approaches as crude approximations of intelligence, missing much of the deeper structure underlying cognition.

He explores mathematical correspondences linking control theory, fluid dynamics, and quantum systems, arguing that these mappings provide a framework for modeling decision-making and attention, with implications for how architectures like Hyperon allocate attention and reason about their own internal state.

According to CEO Dr. @bengoertzel, the concept of AGI is becoming increasingly muddled within the press. He notes that this widespread misunderstanding largely stems from various technology executives who find it advantageous to publicly declare they have already reached this milestone. You can read more about this ongoing conversation at the following link: https://decrypt.co/360964/agi-ai-goal-everyone-talks-about-no-one-can-clearly-define

Recently, Chief Executive Officer Dr. @bengoertzel shared his thoughts on how the concept of AGI is currently being portrayed. He noted that the phrase has developed a rather muddled reputation within the media, largely because technology executives frequently find it beneficial to declare they have already reached this milestone. You can explore this perspective further through @DecryptMedia at https://decrypt.co/360964/agi-ai-goal-everyone-talks-about-no-one-can-clearly-define

To developers and researchers focused on achieving AGI, we would love to see you at the upcoming MeTTa Coders meetup scheduled for 3:30 PM UTC this Friday, March 20.

Our goal with this event is to gather the Hyperon community in one place to dive into the newest features of the MeTTa language. It is a wonderful opportunity to team up with peers and drive forward practical use cases.

Ensure you never miss an event by adding these biweekly sessions directly to your personal agenda via:

A significant cognitive framework for tracking our journey toward AGI was put forward by @GoogleDeepMind this week. By breaking intelligence down into ten specific human cognitive faculties, this method compares artificial systems directly against baseline human standards. This represents a major leap forward from unclear, single-number claims about AGI. It provides a reliable way to make capability assessments that yield rich diagnostic data, can be tested empirically, and are easily compared to human performance.

While establishing this human-comparative cognitive profile is an absolutely necessary step, we believe it is not quite enough for the upcoming phase of AGI evaluation. We have identified three main shortcomings that suggest an urgent need to expand on this approach.

The first limitation is that a highly general system could function in a deeply non-human manner while still demonstrating incredible power in areas like abstraction, transfer, world-modeling, and self-improvement.

The second issue highlights that simply possessing social fluency and a polished ethical appearance does not automatically guarantee that a system has genuinely beneficial moral agency.

The third and perhaps most crucial point is that the most serious failures during real-world deployment rarely originate from static deficits in capability. Rather, these major issues tend to happen because of unexpected behavioral shifts that arise when a system is subjected to stress, competition, temptation, or pressures related to self-preservation.

Discover more details below.

We warmly welcome you to attend the 19th Annual Conference on Artificial General Intelligence (AGI-26), which will be hosted in San Francisco, California, from July 27-30, 2026. To benefit from our special early bird ticket rates, be sure to reserve your spot before the deadline on March 31, 2026. You can secure your admission for AGI-26 by visiting the registration page here: https://luma.com/AGI-26

We cordially invite you to San Francisco, California, to participate in the 19th Annual Conference on Artificial General Intelligence. This upcoming event, also known as AGI-26, is scheduled to run from July 27-30, 2026.

If you plan on attending, we highly encourage you to take advantage of the early bird pricing currently being offered. You have until March 31, 2026, to purchase your ticket at this reduced rate. Please reserve your spot today by visiting https://luma.com/AGI-26

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.