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.

Computational approaches to biological intelligence, regeneration, and synthetic minds.

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