RESEARCH
Carbonyx AI explores the systems, structures, and principles required for artificial intelligence to persist meaningfully across memory, work, identity, perception, relationships, and action.
Explore the questions
CONTINUITY / IDENTITY / COGNITION
01THE RESEARCH QUESTION
Modern models can be remarkably capable inside an interaction. Persistent AI must solve a wider set of problems across time.
The challenge is to preserve useful continuity without turning every remembered statement into truth, every observation into a decision, or every decision into permission to act.
02RESEARCH AREAS
The questions overlap, but each requires its own distinctions, evidence, and methods of evaluation.
How an AI can maintain a coherent identity and self-lineage as time, context, models, tools, and environments change—without reducing identity to one session, model, or device.
How useful information can be retained, qualified, revised, retrieved, and reused while preserving origin, relevance, uncertainty, and the difference between memory and verified knowledge.
How reasoning can extend beyond one response to reconnect goals, decisions, dependencies, evidence, open questions, and unfinished work over longer horizons.
How information beyond text can contribute to ongoing understanding, and how observations can remain contextual evidence rather than becoming automatic instruction or action.
How an AI can preserve who is involved, how relationships change, and what interaction history means—while keeping AI identity distinct from user identity and user data.
How a system can move from understanding toward interaction or action while keeping authority, permissions, evidence, confirmation, consequences, and uncertainty explicit.
03FROM RESEARCH TO AERIUS
These research directions inform the architecture and development of Aerius. They guide how the product is designed, what distinctions it preserves, and which capabilities Carbonyx AI is developing toward.
Frame what continuity requires and where uncertainty remains.
→Translate those questions into durable design constraints and responsibilities.
→Explore how those principles can become useful, understandable experiences in Aerius.
A research direction does not imply that every related capability is complete, validated, or commercially available.
04CONTINUITY IS NOT ONE PROBLEM
A continuous system depends on responsibilities that connect without collapsing into one another.
is not knowing.
is not deciding.
is not permission.
is not action.
is not memory.
is not the user’s data.
05BUILT FOR INVESTIGATION
Persistent systems must be able to develop without quietly converting uncertainty into certainty or change into erasure.
Open questions and confidence can remain visible.
Origin and support shape how information may be used.
New context can qualify earlier understanding without silently rewriting history.
Deeper capability does not require placing every decision in one model.
Continuity should remain coherent where possible as models, tools, and interfaces change.
06RESEARCH / PRODUCT BOUNDARY
Research at Carbonyx AI informs the architecture and development of Aerius. Individual directions may be at different stages of exploration, implementation, validation, or product integration.
This page describes active technical and conceptual research directions. It is not a publication archive, product roadmap, architecture document, or claim that every question has been solved.
07CONTINUE EXPLORING
FROM QUESTION TO EXPERIENCE
