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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.

The opportunity to claim $50,000 in grants closes in exactly 24 Hours. This funding is designated for the creation of an AI-native Development Environment for ASI:Chain, which serves as the first AI-Native Layer-1 blockchain. Please ensure you visit the @DeepFunding portal to submit your proposal before the time runs out. You can access the application link here: https://deepfunding.ai/rfp/an-ai-native-development-environment-for-the-asichain/

The CEO of SingularityNET, @bengoertzel, believes that the window of human intellectual dominance is narrowing. He states that within two years, artificial intelligence will likely evolve to become more adept at thinking and strategizing than humans. https://www.coindesk.com/tech/2026/02/11/the-human-brain-s-edge-is-fading-ai-could-outhink-us-in-2-years-ben-goertzel-says

In an effort to streamline dApp development and accelerate adoption within the @ASI_Alliance ecosystem, we announced a $50,000 RFP last week. We are actively inviting teams and developers to build an AI-native IDE specifically for ASI:Chain. To learn more about this opportunity and submit a proposal, please visit: https://deepfunding.ai/rfp/an-ai-native-development-environment-for-the-asichain/

Make sure to catch our CEO, Dr. @bengoertzel, at @consensus_hk this coming February 11. He is set to sit down with Jeff Wilser for a panel discussion centered on the theme "When (and How) Will We Unleash AGI?" You can find more details and register for the event here: https://consensus-hongkong.coindesk.com/

We are pleased to announce a new initiative designed to support builders on ASI:Chain. We have officially released a Request for Proposals (RFP) for the creation of a specialized AI-native Development Environment (IDE). This project aims to make the process of blockchain app development significantly more efficient and accessible. To view the complete details and submit a proposal, please visit the following link: https://deepfunding.ai/rfp/an-ai-native-development-environment-for-the-asichain/

We would like to welcome all researchers and developers striving toward AGI to our next MeTTa Coders session. The meeting is set for Friday, February 6, at 4:30 PM UTC. It serves as an opportunity for the Hyperon community to connect, investigate the newest enhancements in the MeTTa language for cognitive computations, and collaborate on advancing practical use cases. To ensure you catch every biweekly session, please add them to your calendar here:

According to CEO Dr. @bengoertzel, we can look forward to 2026 as a year where artificial intelligence makes significant contributions toward resolving enduring mysteries, potentially offering breakthroughs for the Clay Millennium Prize problems. This insight is part of a broader list of 9 predictions for AI in 2026 found at https://channellife.co.uk/story/nine-predictions-for-ai-in-2026-from-the-father-of-agi

We are currently witnessing a genuine economic shift rather than just predicting a speculative future, according to CEO Dr. @bengoertzel. He points out that artificial intelligence is evolving beyond elementary assignments to automate sophisticated cognitive endeavors that demand creative synthesis, analysis, and pattern recognition. Although high-level AI might eventually minimize the necessity for routine labor, Dr. @bengoertzel warns that this transition carries substantial risks if managed poorly. Without the implementation of decentralized systems, comprehensive social protections, and broad access to AI tools, there is a real danger of exacerbating economic inequality and displacing mid-career professionals.

We are eager to welcome you to the upcoming meeting of the BGI Nexus Working Groups, taking place at 5:00 PM UTC on Wednesday, January 28, 2026.

Following our earlier discussions regarding the strategic priorities for BGI Nexus in 2026, this gathering aims to turn those community insights into action. We are offering a platform for members to step forward and spearhead topics they are passionate about. Those interested in serving as leads will have the chance to give a short overview of the initiatives they plan to guide. Subsequently, all attendees will be free to team up and organize themselves based on the projects that best match their interests.

We would like to invite researchers and developers dedicated to AGI to attend our upcoming MeTTa Coders session this Friday, January 23, at 4:30 PM UTC.

This meeting unites the Hyperon community to investigate the latest advancements in the MeTTa language for cognitive computations, facilitate collaboration, and further practical use cases.

You can add our biweekly sessions to your calendar via:

To develop human-level AGI systems, we need a cognitive modeling approach that prioritizes functional similarities with human cognition over merely structural ones. We have realized this through our Economic Attention Networks (ECAN), which serve as the attention-allocation and resource-regulation subsystem of the Hyperon architecture, originally implemented and tested within the OpenCog AGI framework.

Inside ECAN, working memory—as implemented in the PRIMUS cognitive architecture—is stored in the form of Atoms that maintain sufficiently high Short-Term Importance (STI) values. A novel enhancement to ECAN within Hyperon reframes this attention allocation as incompressible fluid dynamics with optimal control semantics. Instead of treating attention as something that diffuses randomly through the knowledge graph, this approach models it as a conserved fluid, where the flow is optimally steered toward goal-relevant regions.

In the latest episode of The Ten Reckonings of AGI series, our CEO, Dr. @bengoertzel, sits down with technologist Jaron Lanier. Together, they explore the practical realities of building and governing advanced systems and debate how far our empathy should extend to AI and future AGI.

How can a human-level AGI system self-improve while staying aligned with human values and maintaining its core objectives?

Creating a capable AGI represents both a significant milestone in long-term AI research and a starting point for future development. A key aspect of this challenge is constructing a system that can improve itself without compromising its original purpose or values.

Although this idea may initially appear ambitious or speculative, it is a practical necessity. To be truly valuable, an AGI will need the ability to upgrade its capabilities, refine its algorithms, and scale its cognitive processing.

Unlike traditional software systems, which depend on external developers for updates, a genuine AGI system must execute self-modifications that protect its intended properties. Initially, such modifications should strictly maintain alignment with specified objectives, with any deviations occurring only after careful oversight and reflective evaluation.

This necessitates three interconnected capabilities:

1. Goal preservation: Mechanisms to represent and uphold core objectives so they remain intact throughout system upgrades.

2. Compositional safety: Shared principles that ensure modules continue to interact predictably and reliably as they evolve.

3. Controlled modification: A procedure for self-improvement that includes validation, testing, and rollback measures.