Try a product
Train a Memory Palace
Build ordered loci, create a Person–Action–Object vocabulary, encode randomized card decks and score exact recall.
We make the philosophy of mind buildable at the intersection of cognitive neuroscience, philosophy, machine learning, robotics, and control systems.
Our initiatives map safe, verifiable machine architectures, so that we can build interpretable computational mechanisms to carefully test theories of cognition, and let what we build revise the theories in turn. We work towards answering the biggest open questions in philosophy, and towards showing which mechanisms produce flexible, mind-like capabilities in embodied agents.
Our vision
Grounded in cognitive and brain science, we identify, simulate, and test the mechanisms that let systems model self and others, integrate perception and memory, imagine possible futures, cooperate, plan, and respond safely to novelty—a foundation for more flexible, trustworthy AI in human-machine teaming that data and compute alone cannot deliver. -- The Mind Guild Collective
Read our essay on AI safety: Building Safe & Verifiable Neuromorphic Agents →Research foundation
Research completed so far.
Our public line of work: a foundational theory of consciousness, its application to memory athletics, and an architecture that implements it.
-
2021 · arXiv
What Is It Like to Be a Bot: S3Q Theory of Consciousness
Names three jointly necessary conditions for qualia: sensorimotor situatedness, internal simulation, and structural coherence.
arXiv:2103.12638 → -
2023 · arXiv
Representational Tenets for Memory Athletics
Examines elite memory techniques, drawing on World Memory Championship Grandmaster Nelson Dellis, through the lens of S3Q.
arXiv:2303.11944 → -
2026 · IEEE · peer-reviewed
From S3Q Theory to Implementation
A five-layer architecture composing published computational primitives, with falsifiable predictions that no subset of the parts makes alone.
Read the paper →
Get Involved
Try it. Inspect it. Help build it.
The public surface of Mind Guild connects working tools, scientific claims, implementation artifacts and scoped collaboration.
Inspect the evidence
Follow claim to artifact
Read the accepted IEEE SMC 2026 work, inspect architecture diagrams and watch the technical sessions behind the reference build.
Participate
Contribute to a testable theory of mind
Explore the code and technical work, or propose a scoped collaboration across AI, cognitive neuroscience, mathematics, robotics or experimental design.
All repositories
Mind_Guild repository
TopModel repository
HMT evaluation questionnaire
Propose a collaboration
Join the mailing list
Mind_Guild and TopModel are private repositories; GitHub access is required.
Meetings & speakers
Our working sessions bring in outside thinkers to pressure-test the theory behind the build.
Watch recently recorded sessions →Meet the Collective
Members come from leading universities and from companies building AI, robotics and autonomy.
Academic
- UC Davis
- Stanford
- Northwestern
- Johns Hopkins
- Hampton University
- Indiana University