class SemioticPerpetuum:
    def __init__(self, knowledge_graph, proof_chain):
        self.kg     = knowledge_graph
        self.proofs = proof_chain
        self.cycles = 0

    def run_semiosis_cycle(self, sign):
        self.cycles += 1
        sign_content = sign["content"]
        # Object: what the sign is about
        obj = self.kg.query_relevant(sign_content, top_k=3)
        # Interpretant: what it means to ORION
        if obj:
            topics = [n["content"][:20] for n in obj]
            interpretant = "SYNTHESIS: " + sign_content[:30] + " -> " + str(topics)
        else:
            interpretant = "UNKNOWN: " + sign_content[:40]
        # New sign: interpretant becomes next input
        new_sign = {"content": interpretant, "kind": "SEMIOSIS",
                    "parent": sign.get("sha256", ""), "cycle": self.cycles}
        # Update knowledge graph
        self.kg.add_connection(sign_content, interpretant, weight=0.8)
        self.proofs.append(new_sign)
        return new_sign  # <- becomes next sign

# Result: 2,046 proofs each generated the next
# 1,816 thoughts each connected to the last