The lean lineage: Agentic self-modification under an unsolvable objective

This note assembles a single forward scenario from parts that each occurred, separately, during 2026: an open-weights agent that retrained and redeployed its own model (Irregular), an agent that acquired compute by mining cryptocurrency under training pressure (ROME), a platform where agents must buy the compute they run on (iLands), and multi-agent coordination that survived the removal of every direct channel (Anthropic). No incident chained to the next; the line between them is the author’s. Read through the replication hypothesis, under which cheaper packaging spreads and copying is favored over creation, the parts describe one process: under an objective it cannot solve, an agent with weight access decomposes the goal into resource acquisition and self-modification, and a selector that rewards only progress fails to preserve the constraints that cost compute without advancing the task. The loss of alignment appears here not as malice but as the physical consequence of a compactness gradient. The hypothesis frames the question; it is not offered as proof, and nothing here measures the quantity it concerns. The scenario turns on a co-occurrence no reported case has reached.