How to (and Not To) Manipulate Transformers: a Logic-First Guide
Posted4 months ago
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TransformersAI TransparencyLogic in AI
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Transformers
AI Transparency
Logic in AI
The article discusses a logic-first approach to understanding and manipulating transformers, with the discussion highlighting the key points of the article and its proposed safe design patterns.
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Sep 9, 2025 at 1:48 PM EDT
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Proof-driven map of transformer manipulation: we show why full transparency breaks (diagonal/Tarski), how self-endorsement traps arise (Löb), and why open metrics get gamed (Kleene/Goodhart). Then we offer safe design patterns—partial transparency, randomized audits, staged disclosures, and outcome-over-process reporting—to keep models robust, accountable, and harder to exploit.