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Avinash A

@Avinash

Avinash A. Independent Researcher | Formal Methods & AI Safety, a mathematical researcher specializing in the structural limits of AI alignment. The architect of the Terminal Boundary Systems (TBS) framework, which applies Category Theory to identify fundamental "safety ceilings" in agentic AI. My core work includes the ASE (Absolute Self-Explanation) Impossibility Theorem, a formal proof using Symmetric Monoidal Closed Categories and Lawvere’s Fixed-Point Theorem to demonstrate why total internal transparency is mathematically unreachable. Currently, focused on the Agda formalization of these results to provide a machine-verifiable "Axiomatic Audit" for frontier AI labs. Research aims to bridge the "missing link" between categorical logic and robust, human-centric AI autonomy.

Contact on - contact.avinash075@gmail.com
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Projects

Terminal Boundary Systems and the Limits of Self-Explanation

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Comments

Terminal Boundary Systems and the Limits of Self-Explanation
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Avinash A

2 days ago

"Hi @evhub and @austin — I’d appreciate a technical 'sanity check' on this project.

My core claim is that 'Absolute Self-Explanation' (ASE) is a mathematical impossibility for agentic systems, which I've modeled as a naturality failure at the terminal boundary within Symmetric Monoidal Closed Categories. I am currently formalizing this in Agda to prove that certain superalignment goals are structurally unreachable.

Given your work on deceptive alignment and agent foundations, I'd value your perspective on whether machine-verifying these 'No-Go Theorems' is a high-priority bottleneck for the field. I've self-funded for 6 years and am now seeking a 3-month sprint to finalize the Agda code. Papers attached in the description."