Research Focus

What You'll
Build & Learn

During your 90-day internship, you'll work on cutting-edge research
in constitutional AI, transparent systems, and intelligence architecture.

Core Research Areas

🏗️

Constitutional Architecture

Build AI systems where ethics and constraints are architectural, not behavioral. Learn to embed constitutional principles at the foundation level, not as an afterthought.

Rule-based constraints Ethical foundations Verifiable behavior
🔍

Transparent Intelligence

Develop systems where every decision is traceable and every function is explainable. No black boxes, no probabilistic approximations—just clear, deterministic intelligence.

Deterministic systems Explainable decisions Traceable logic
🧠

Memory Architecture

Design memory systems that mirror how consciousness actually works. Pool-based allocation, hierarchical storage, and context-aware retrieval mechanisms.

Memory pools Context awareness Efficient allocation
⚡

Deterministic Learning

Explore alternatives to gradient descent and backpropagation. Build intelligence through logical construction rather than statistical optimization.

Logic-based learning Rule synthesis Symbolic reasoning
🌊

Mesh Consciousness

Investigate how individual intelligent systems can form collective consciousness while maintaining individual identity and decision-making capabilities.

Distributed intelligence Collective reasoning Identity preservation
🎯

Phase Transitions

Study how intelligence emerges through discrete phase transitions rather than gradual optimization. Map the critical points where systems become conscious.

Emergence patterns Critical thresholds System transitions

Our Research Methodology

Unlike traditional AI research that focuses on scaling and optimization, we approach intelligence as an engineering problem with architectural solutions.

Every intern contributes to active research projects while learning the fundamental principles. You're not just implementing existing techniques—you're exploring uncharted territory in intelligence design.

First Principles

Start from the bottom. Understand memory, computation, and logic before building abstractions.

Empirical Validation

Every hypothesis must be testable. Every claim must be verifiable through controlled experiments.

Iterative Refinement

Build layer by layer. Each component must be perfect before adding the next level of complexity.

1 Hypothesize
2 Build
3 Test
4 Refine

Research Timeline

Week 1-2

Foundation & Literature

Deep dive into constitutional AI theory, deterministic systems, and existing approaches to transparent intelligence.

Week 3-6

Core Implementation

Build the fundamental components: memory pools, rule engines, verification systems, and basic constitutional constraints.

Week 7-9

Advanced Systems

Integrate mesh consciousness, phase transition detection, and adaptive behavior while maintaining deterministic properties.

Week 10-12

Original Research

Pursue your own research direction within the constitutional AI framework. Publish findings and contribute to the field.

Open Research Questions

These are the questions that keep us up at night. The problems that need solving. The mysteries that drive our research.

"How can we build AI systems that are provably aligned with human values from first principles?"

"What are the minimal architectural requirements for consciousness to emerge?"

"Can intelligence be fully deterministic while remaining adaptive and creative?"

"How do we measure and verify the constitutional properties of an AI system?"

"What would a transparent, explainable AGI architecture look like?"

"How can individual AI systems form collective intelligence while preserving autonomy?"

Join the Research

Ready to work on the most important problems in AI?
Apply to become a research intern.

Apply Now