The minds of
AGI-26

Developmental psychologist; children's causal learning as the roots of human intelligence and scientific thinking.

Digital fabrication, programmable matter, and the physical instantiation of computation and intelligence.

Exploring interfaces between minds, machines, and new forms of collective cognition.

Neuroscientist studying time perception, sensory substitution, and the plasticity of human experience.

Builder focused on open, aligned generative AI and the societal implications of widely accessible models.

Cognitive scientist and critic/advocate for hybrid symbolic-neural approaches to robust, trustworthy AI.

Research on scalable, general agents and architectures that push toward more robust artificial intelligence.

Applied AI and collective intelligence for solving complex real-world problems at scale.

Consciousness researcher; the predictive brain, being you, and the science of subjective experience.

Physicist and AI researcher focused on causal entropic forces and the emergence of intelligence.

Formal methods, concurrency, and languages for safe, composable multi-agent systems.

Builder bridging advanced AI with creative industries and human-centered applications.

Researcher advancing energy-based models, predictive processing, and brain-inspired learning systems.

Investigating alignment, agency, and the integration of diverse perspectives in AI systems.

Interdisciplinary computer scientist in Michael Levin's lab — reservoir computing and liquid state machines, spiking neural networks, and learning in unconventional substrates.

Automated reasoning, formal mathematics, and AI systems that collaborate with humans on proofs.

Evolutionary robotics and machine self-modeling — robots that build internal self-simulations to adapt and repair. AGI-26: "Machine consciousness: can robots imagine themselves?" [archive-BUILD candidate]

Algorithmic robotics, safety-critical control, and foundation models for Physical AI — grounding digital minds safely into physical, multi-agent environments. [archive-BUILD candidate]

Mathematician and co-architect of OpenCog Hyperon; co-author of Probabilistic Logic Networks — formal, auditable inference under uncertainty. Conference chair. [archive-BUILD candidate]

Technology executive and former USAF intelligence officer; the monitoring, evaluation, and safety side of AGI. Co-presents the AGI Society vision on independent oversight.

Quantum machine learning and the governance of superintelligence — identity, self-modification, and the thermodynamic limits of intelligence. AGI-26: three papers + BGI Labs fireside. [archive-BUILD candidate]

Spiking representation learning — energy-efficient, substrate-level neuromorphic architectures. Early-career; footprint is the talk itself.

Proto-AGI applications demo (OmegaClaw). See SOMA/agi26-trip/omegaclaw-tech-brief.md.

Longevity and bio-AI (Rejuve.Bio, SingularityNET-adjacent). AGI-26 proto-AGI applications demo.

Embodied robotics — the Codey demonstration (Mind Children Robotics).

Applied proto-AGI — "Enlightenment 2.0" (Saaga Solve).

Piagetian / constructivist approaches to machine cognition — demo "Building Sentient Beings."