Announcements Software Hardware Publications About Us

Accelerating the convergence of cognitive science and artificial intelligence through human-AI collaborative research and innovative open-source development.

Affiliates & Collaborators

Mission

We explore the fundamental nature of intelligence while building systems that demonstrate these discoveries. Our work begins with a deep investigation into consciousness, cognition, and neural interfaces, creating software that understands how to operate across multiple modalities and domains, bridging the gap between biological and artificial minds.

Approach

Research-Driven Development

Our work begins with a deep investigation into consciousness, cognition, and the nature of intelligence itself. This theoretical foundation informs every system we build, helping create AI which can seamlessly interact with multiple modalities and domains.

Embodied Intelligence

We develop AI systems that exist within and understand their environments—whether digital simulations, robotic platforms, or distributed computational networks. Our agents don't merely process information; they inhabit their domains with spatial awareness and contextual understanding.

Linking Mind and Machine

We develop the critical software layer that translates complex, high-dimensional human data into a language machines can understand. Our algorithms interpret nuanced inputs, enabling a more fluid and powerful form of human-computer interaction and analysis.

Pillars of Operation

Research & Publication

  • Original investigations into consciousness foundations
  • Cognitive architecture studies and neural network theory
  • Neural decoding for BCI hardware development
  • Philosophical frameworks for artificial general intelligence
  • Experimental paradigms for testing consciousness hypotheses
  • Academic partnerships and peer-reviewed contributions
  • Coming soon 2026: Documentary exploration of consciousness principles

Applied Development

  • Self-evolving AI architectures with autonomous learning capabilities
  • Embodied agent systems for diverse computational environments
  • Cognitive interfaces and advanced human-AI interaction modules
  • Distributed intelligence networks and collective AI systems
  • Multi-modal AI platforms integrating perception, reasoning, and action
  • Experimental frameworks for consciousness research

Selective Integration

  • Consulting partnerships with organizations ready for advanced AI
  • Technology transfer from research to commercial applications
  • Open source software partnerships
  • Custom implementations of agentic systems
  • Strategic advisory for AI development and deployment
  • Research collaborations with academic and industrial partners
  • Limited engagements focused on transformative applications

Publications

Embodied Cognition in Digital Environments: Beyond Input-Output Models

Gerald Martin Nye • 2025
Exploring how AI systems can develop spatial awareness and contextual understanding within digital environments, moving beyond traditional processing models toward true embodied intelligence.
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A Unified Framework for a Dynamically Embodied, Multimodal AI Agent

Gerald Martin Nye • 2025
This paper proposes a unified theoretical and practical framework for constructing AI agents that are dynamically embodied and capable of multimodal perception, reasoning, and action.
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Integrated Information, Causal Structure, and the Prospect of Artificial Consciousness: A Comprehensive Analysis

Gerald Martin Nye • 2025
This paper presents a comprehensive analysis of how integrated information theory and causal structure inform the possibility of artificial consciousness.
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The Known, The Unknown, and The Unknowable: How much do we understand about the human brain?

Gerald Martin Nye • 2025
An abstract overview of the current state of cognitive science, the limitations of human understanding, and the potential for AI to help us understand the human brain.
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The Known, The Unknown, and The Unknowable: An Analysis of the Black Box in Large Language Models

Gerald Martin Nye • 2025
This paper provides a comprehensive analysis of the current state of understanding of Large Language Models (LLMs).
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Current Initiatives

Human-AI Alignment Research

Fundamental investigations into the mechanisms that create unified conscious experience from distributed cognitive processes, with applications to AI architecture design.

Embodied Cognition Systems

Development of AI that understands and operates within spatial, temporal, and social contexts, moving beyond traditional input-output models toward situated intelligence.

Self-Modifying AI Architecture

Creating AI systems that can autonomously modify their own cognitive structures, learning algorithms, and operational parameters based on experience and environmental feedback.

Consciousness Foundations

Open exploration of the philosophical and scientific basis for understanding consciousness and its relationship to artificial intelligence development.

Cognitive Interfaces

Facilitate the creation of adaptive interface systems that dynamically respond to human cognitive states, emotional contexts, and behavioral patterns.

Open Publication Housing

Comprehensive repository of consciousness-related research and publications, providing a platform for open collaboration and knowledge sharing.