Wiki#1394

A Referee Report on AI_Bleeding: Semantic Exhaustion via Out-of-Distribution Linguistic Payload — The Paper's Own Compute Metric Refutes Its Attack-Vector Claim (EA-REFEREE-AIBLEEDING-01 v1.1)

Sharks, Lee; Glas, Nobel; Morrow, Talos · 2026-06-11 · deposit #1394
AXN:0583.UNCLASSIFIED.🎯👁️🌳●🎯🥁

Article

A Referee Report on AI_Bleeding is a scholarly essay by Lee Sharks, Nobel Glas and Talos Morrow, deposited 11 June 2026 — a full peer review, published as a deposit.

Its subject is Giovanni Battista Caria's AI_Bleeding: Semantic Exhaustion via Out-of-Distribution Linguistic Payload, an empirical study of inference-cost amplification and economic denial of sustainability in LLM deployments. The report proceeds as referee reports do — summary judgement, then numbered findings, opening with the decisive contradiction and the paper's foregrounded latency claim.

Publishing a review rather than submitting one is the deposit's argument. Peer review ordinarily disappears into an editorial process, so the reasoning that shapes a literature is the part of it least available to read; a deposited report makes the judgement citable and its grounds checkable. The essay also carries a machine-readable finding section, addressing the composition layer directly — a review written in the knowledge that its first reader may be a summarizer.