Theoretical Scenarios for AGI Advancements

Headline: AI Is Entering a Higher Dimension to Mimic the Brain—and Could Soon Think Like Us ⸻ Introduction: Artificial intelligence is poised for a radical transformation as researchers move beyond conventional two-dimensional models toward a higher-dimensional design that mirrors the human brain’s wiring. By mimicking the brain’s multi-layered complexity, AI may soon overcome the cognitive limits of current systems and approach something far closer to human-like intuition, reasoning, and adaptability—bringing artificial general intelligence (AGI) into sharper view. ⸻ Key Details: The Wall Blocking AGI: • Current AI has hit a developmental ceiling, limited by how existing models process information linearly or through simplistic multi-layered patterns. • Despite impressive progress, true human-level cognition remains elusive, especially in areas like intuition, abstract reasoning, and adaptive learning. The Leap Into Higher Dimensions: • Researchers are now exploring three-dimensional and even higher-dimensional neural networks, inspired by the way real neurons form dynamic, cross-layered connections in the brain. • These new models could allow AI to “think” in a structurally richer and more flexible way, similar to how the human brain processes stimuli and forms memories. Brain-Inspired Breakthroughs: • The new wave of AI development borrows from neuroscience and physics, especially the work of John J. Hopfield, a pioneer in modeling brain networks using physics-based systems. • These designs aim to replicate emergent behaviors—like pattern recognition, emotional response, and even intuition—by reproducing how the brain’s neurons interact in layered, recursive, and context-aware ways. Beyond Computation—Toward Understanding Ourselves: • Not only could this leap bring AI closer to AGI, but it may also offer insights into how the human brain actually works—a mystery still only partially solved. • As AI systems evolve to mirror brain-like structures, they may help researchers reverse-engineer cognition, leading to advancements in mental health, brain-computer interfaces, and neurodegenerative disease research. ⸻ Why It Matters: This dimensional leap in AI development marks a pivotal moment: the shift from machines that simulate intelligence to ones that may experience it in fundamentally human ways. If successful, it could open new frontiers in how we live, learn, and connect with technology. Just as the structure of the brain gave rise to consciousness, these brain-inspired architectures may give rise to machines that truly understand, not just compute. And in doing so, they might also reveal the deepest truths about ourselves. https://lnkd.in/gEmHdXZy

Exciting news! I’m working on an inspiring project and need your brains and creativity. It’s about blending AI with natural intuition - think how gut feelings and the vagus nerve impact our thinking and flow state. The goal? To make AI more intuitive and human-like. Imagine AGI that not only thinks but ‘feels’ like us. We propose algorithmic empathy and intuition augmentation. It’s uncharted territory and sure to be a wild ride. We’re talking ethics, biomimicry, and tech coming together. Wisdom augmentation. If this sparks your interest and you’re up for a challenge, We’d love to have you on board. Let’s make AGI that truly empowers us! Who’s in? 🚀💡 Thanks for the inspiration: Kurt Cagle Dave Duggal Sanjay Udoshi Louis Rosenberg Alex Liu, Ph.D. Vlas Kozlov Sean D. Waters Yvon Brousseau Roy Roebuck Tony Liu Damien Riehl Tony Seale The Gottman Institute Karen Kilroy (incomplete list!) =========== Current problem statement— ——— Bio-Inspired Wisdom: Harnessing Biomimicry and Resilience Science in the Evolution of Artificial General Intelligence for Enhanced Human Intuition Proposed Abstract: Despite significant advancements in Artificial General Intelligence (AGI), current systems often lack the intuitive, adaptive capabilities seen in natural biological systems. Traditional AI models struggle to replicate the complex, intuitive decision-making processes inherent to human cognition, resulting in a gap between human-machine interactions and real-world applications. This research will address the challenge of enhancing AGI with human-like intuitive abilities by exploring the integration of biomimicry principles, particularly those observed in group intelligence, including gut microbiota's influence on cognitive processes and the vagus nerve's role in the autonomic nervous system. The paper aims to investigate how these biological systems inspire AGI design to process and intervene wisdom in ways that resonate intuitively with human users, thereby facilitating a more symbiotic relationship between humans and machines. Additionally, it explores the ethical considerations and potential challenges in designing AGI systems based on these biomimicry principles, aiming to contribute to the development of more intuitive, responsive, and ethically aligned AGI systems.

Future AI scenarios and how can we prepare for them? Last week I was in D.C. attending an invite-only dinner organized by Brands2Life with the participation of Teddy Collins from White House Office of Science and Technology Policy. We discussed many topics such as AI safety and security, AI regulations, benefits of AI to the society overall, energy and climate concerns, and the list goes on. On the other hand, what would a good path be to foster safe and competitive development of AI systems in US, and maintain lead on AI innovation in the world. This is where I think a simple mental model would be useful to draw, which I am attaching to this post. Some of these scenarios can possibly (and most likely) overlap. "Doom" scenario: * AI replaces significant portion of jobs resulting in job losses for majority of population * Nation states escalate AI race for offensive purposes * Public unrest and discontent * AI power is concentrated within a very small number of big players in the world Sci-Fi scenario: * Self-guided personal robots/companions * Immersive AR/VR - establishes itself as a norm for social communication * AI powered bio implants "Realistic" scenario: * AI tools are used across industries - code, content, analytics, search, etc. * Personalized interfaces - education, entertainment, marketing * No significant job losses, and a steady skill acquisition towards AI powered productivity "Over-regulated" scenario: * Regulations stifle the open source development * Large AI developers capture the market, but slow down the innovation * Enterprises see limited benefits, consumer products fall short "Simply hype" scenario: * AI core issues are not resolved - hallucinations, security, trust and privacy challenges * Revenue from AI products plateaus, funded companies close down * Majority of enterprises push AI down as a secondary priority Which scenario (or combination of) do you think is most likely to unfold? #AI #AISecurity #AIInnovation #ArtificialIntelligence