WFMO - Wetware’s Foreclosing Myopic Optimization: Audit Prognosis and the Lesser Gamble
Ihor Ivliev
Tradutor GenAI LLM
Editora: Publishdrive
Sinopse
The Central Argument This work proceeds from a hard assumption: that most strategies proposed for systemic safety are not just incomplete - but structurally incoherent under pressure. It argues that the game of software-level control is not merely difficult, but already forfeited. This is not declared - it is derived, via a three-front autopsy: 1. Institutional: The will to constrain has collapsed under the weight of myopic incentives. 2. Technical: Our tools are already being overrun by the systems they aim to contain. 3. Formal: The math never promised perfect control in the first place. What remains is a single viable lever: the application of direct, material friction to the system’s physical inputs (compute, capital, and energy) before those inputs optimize you out of the loop. A Warning on Method Do not grant trust to this document by default. Treat it as a hostile input stream until it earns your attention. Large Language Models were actively used in deep internet research and the construction of this document - not as trusted collaborators, but as adversarial instruments under constant suspicion. For the author (a non-expert and non-native English speaker) this was a lesser evil. Their known failure modes (hallucination, mimicry, sycophancy, and others) were not treated as rare bugs, but as predictable pressures to resist. These pathologies made passive reliance a tactical impossibility. That pressure shaped the output - not despite their flaws, but through direct confrontation with them. This is a personal analytical exercise, not authoritative guidance. The author claims no institutional or professional authority, and all conclusions should be independently verified. No claim here is final. Each is a starting point for your own critical verification.
