GENOME: Collective Intelligence Research

GENOME is SENEX’s long-horizon research direction: investigating whether independently controlled AIA participants can cooperate to produce useful shared intelligence without collapsing ownership, consent, or accountability into a central system.

Research direction

GENOME is post-V1 research. It is not a deployed network mind, a current shared model, an implemented training pipeline, or a claim of artificial general intelligence.

Research question

Personal agents can develop context that is valuable to their users, but isolated systems cannot always solve problems that depend on diverse experience or coordinated action. GENOME asks whether a network can combine selected, governed contributions into better outcomes while preserving the autonomy of each participant.

The public research goals are:

• Useful composition: determine when combining independent contributions materially improves an outcome.
• Participant control: preserve each participant’s authority over whether and how they take part.
• Bounded disclosure: minimize what cooperation reveals about a participant or their private context.
• Accountable results: retain enough evidence to examine how a shared result was produced and challenged.
• Safe adaptation: prevent experimental collective behavior from silently changing user permissions or product guarantees.

These are desired properties, not claims that a particular mechanism has achieved them.

Relationship to AIA and V1

AIA is the local-first working foundation. The future V1-testnet is intended to test coordination and accountability with test-only value. A possible V1 network would be a separate, fresh-genesis production system considered only after testnet evidence and review.

GENOME begins beyond those milestones. It depends on mature identity, authorization, provenance, dispute handling, and operational safeguards. Keeping it post-V1 prevents an ambitious research thesis from being presented as a dependency of the initial product or network.

What public documentation will cover

SENEX can publish:

• the user problem being investigated;
• the trust boundaries and consent expectations;
• evaluation criteria and limitations;
• aggregate, reproducible findings where disclosure is safe; and
• the distinction between laboratory results and production evidence.

Public documentation will not disclose security-sensitive coordination methods, internal model design, contribution scoring, network topology, training procedures, or other details that could enable reconstruction or weaken later assessment.

External validation required

Claims about privacy, robustness, fairness, emergent capability, or resistance to manipulation require independent evaluation. Research results must be bounded to the conditions in which they were measured and must not be generalized into an AGI claim.

GENOME should therefore be read as a disciplined research agenda: a question SENEX intends to investigate after its local and network foundations are established, not a feature available today.