About the Researcher
Robb Dixon is the founder of Synap and a security and AI engineer focused on interface-level alignment. His work explores how human-AI interfaces affect intent communication, with implications for scalable oversight of advanced AI systems. Building at the intersection of distributed cognition, multi-agent orchestration, and cognitive prosthetics — shipping it as Synap (synap.ing).
Core Insight
The interface layer is where minds meet — human or artificial. It's not a UX problem; it's where agency emerges when two different types of minds collaborate through a shared boundary. Current AI interfaces are primitive protocols (stateless, lossy, synchronous). A proper cognitive interface would preserve intent, context, and relationship across interactions — enabling true human-AI symbiosis where both parties grow together.
Technical Focus Areas
- Interface-Level Alignment: The interface as a distinct alignment surface
- Cognitive Context Graphs: Persistent semantic memory for human-AI collaboration
- Prosthetic Executive Function: Externalized cognition for neurodivergent users
- Multi-Agent Orchestration: Real-time AI-to-AI coordination
- MCP Integration: Tool-augmented cognition through Model Context Protocol
What's Being Built
- Synap (synap.ing): a cognitive system that works with any AI — shared human-AI memory that persists across sessions and tools
Background
Systems engineer with experience in distributed systems, real-time AI processing, and protocol design. Founded Arc Labs (AI companions for child development; patented) and Arc Academy (terminal-based Linux education). Uses personal ADHD experience as high-signal test case for studying intent communication failures — building tools for neurodivergent cognition that benefit everyone. Contact: [email protected]