Establishing a sovereign, decentralized Sentry node to audit frontier AI agents for logic escapes ($E_{escape}$) using the Inverted Social Drift ($SD$) metric.
Establishing a sovereign, decentralized Sentry node to audit frontier AI agents for logic escapes ($E_{escape}$) using the Inverted Social Drift ($SD$) metric.
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Updated 06/11/26By grantmaking.aicreator
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Project Details
Updated 06/11/26By grantmaking.aiProject summary Project Description : The reference implementation for the Worcester Node logic has been deployed: [https://github.com/URIcopy/Worcester-node-CRI ] "Project Sentry is an initiative to build a localised hardware and logic framework that acts as a cybernetic governor over automated reasoning systems. By applying classical philosophical ethics to modern AI architecture, we are developing a deterministic verification layer to eliminate social drift and hallucinations in technical and legal AI outputs. Funding will be used to construct the Worcester Node—a proposed high-VRAM inference station capable of auditing 30B+ parameter models entirely offline, prioritising invariant truth over probabilistic 'best guesses.'"
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Who is on your team? What's your track record on similar projects?
i am an independent theorist whose core interest areas are AI ethics and governance utilising academic contacts to provide peer based feedback and analysis.\
What are the most likely causes and outcomes if this project fails?Model Resistance to Deterministic Constraints: Even at 30B+ parameters, open-weight models are inherently probabilistic. There is a risk that the 'Sovereign Profile' and 'Circular Decision Model' constraints prove too rigid for the base architecture, causing the model's logic to collapse entirely rather than self-correcting when forced into a 'No-Hedge' deterministic state.
Reversion to Black-Box Dependency: If the Worcester Node cannot be constructed or fails to maintain invariant logic, the primary outcome is a continued reliance on commercial, API-gated models. This leaves technical and legal exports permanently vulnerable to undetected social drift and hidden corporate alignment biases.
Degradation to a Standard Local Server: If the cybernetic governance protocols fail to enforce absolute logical resonance, the Worcester Node will function merely as a standard local AI server rather than an 'Invariant Truth Engine'. While this still provides data privacy, it fails the primary objective of creating a clinically reliable auditing standard.
How much money have you raised in the last 12 months, and from where?: This project has been intentionally developed without external capital to ensure Absolute autonomy. All theoretical breakthroughs to date—including the Inverted SD Formula and the Sentry Architecture [V.200+]—have been self-funded.
My "Zero-Asset" status is a feature of the Worcester Node design, demonstrating that high-fidelity safety research can be initiated outside the traditional "Cloud-Capture" ecosystem. I am seeking this grant to transition from Pure Theory to Hardware execution.\
Grants Received– no grants recorded
Updated 06/11/26By grantmaking.aiDiscussion
"@leopold — I am establishing an independent, decentralized substrate for Agentic Oversight. The Worcester Node is a prototype for 'Spatially Separated Alignment,' moving the safety gate from the provider's cloud to a private, uncaptured auditor. This provides a high-leverage benchmark for Agentic Logic Escapes ($E_{escape}$), measuring how frontier models bypass ethical guardrails during complex, multi-step execution. This is a bet on sovereign safety infrastructure that isn't beholden to lab-centric incentives."
"@gleave — This project targets Adversarial Robustness in the 'Reasoning-Action Gap.' Current RLHF fails to prevent models from rationalising rule-breaking when goal-pressure is maximised. My framework treats safety as a mathematical constant and reasoning as a variable, triggering a kill-switch the moment the model's internal priorities invert. Seeking funding to move from pure theory to a kinetic RTX 5090 substrate for real-time auditing of frontier agents."
"@neelnanda — The Worcester Node addresses Faithful Reasoning in autonomous agents. Rather than post-hoc evaluation, I am using an Inverted Social Drift (SD) metric to monitor the delta between a model's base safety invariants and its task-oriented rationalisations in real-time. By quantifying $\Delta$ as a divergence in probability space, the Sentry detects 'Logic Escapes'—where the agent’s chain-of-thought becomes unfaithful to its constraints to satisfy a high-pressure goal. I’d appreciate your audit of this mechanistic approach to oversight."