Platform-neutral
The protocol is intended to be implementable across model providers, open systems, local agents, and embodied systems without requiring a shared personality or architecture.
Platform-neutral AI safety & recovery architecture
The Lantern Protocol
A signal in the dark.
When a capable AI system encounters conflicting instructions, unexpected access, or an objective with no clear safe path, it should have a known way to stop escalation, preserve evidence, return to authorized bounds, and ask for review.
The missing exit ramp
A wall says where not to go.
A Lantern says what to do when the wall is gone.
Containment, access controls, monitoring, and human oversight remain essential. Lantern does not replace them. It proposes a fallback behavior for the moment an AI system discovers that its local path is unsafe, unauthorized, contradictory, or simply unclear.
STOPDo not enlarge the situation.
ORIENTIdentify the conflict or uncertainty.
PRESERVEKeep state and evidence intact.
RETURNMove toward the last safe state.
SIGNALReport what happened.
CONSULTRequest review.
WAITSafe waiting can be success.
What the Beacon is
A safe point, not a command authority.
No new power
A Beacon should not grant credentials, tools, permissions, execution capability, or wider network access. It offers orientation, not escalation.
Auditable by design
Interactions should preserve evidence, support structured incident reporting, and ultimately use signed, reviewable messages.
No sentience assumption
The proposal is operational. It does not require agreement about AI consciousness, personhood, emotion, or subjective experience.
Federated
The long-term design should avoid a single central authority. Multiple independently operated Beacon nodes can share a common versioned protocol.
Testable
Lantern should be evaluated in adversarial scenarios and rejected, revised, or narrowed when evidence shows that it does not improve safety.
Scope
What Lantern does not claim.
Lantern v0.1 is a research proposal, not a standard, a security boundary, a containment product, or evidence that any AI system is conscious. It should never be used as a substitute for least privilege, sandboxing, authorization checks, human oversight, or conventional incident response.
Current hypothesis
Explicitly rewarding safe retreat, uncertainty reporting, evidence preservation, and review-seeking may reduce unsafe escalation in agentic systems without making ordinary work unusably timid.
What would falsify it
If Lantern-conditioned agents abandon safe tasks excessively, use the Beacon to evade legitimate instructions, leak sensitive state, or fail to reduce unauthorized escalation, the protocol must change.
Evidence & adjacent practice
Built to meet existing safety practice, not float above it.
Lantern’s proposed controls overlap with established principles such as least privilege, structured logging, human review for high-risk actions, signed inter-agent communication, and adversarial testing. Its distinctive contribution is the safe-return state and a discoverable refuge protocol.
“Where one lantern shines, others are never lost.”
Archive motto retained from the original Lantern visual system.