LEASH — Lightweight Encrypted Agent Secret Handling. A proposed companion standard to MCP for secure, auditable, human-controlled secret access by AI agents.
Code for the ICML 2026 position paper arguing that text embeddings should capture implicit semantics, not just surface meaning.
Code for constructing and evaluating neuro-symbolic prompting methods. Used for experiments in "The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models."
This repository conducts security audits on digital identity verification systems, identifies vulnerabilities through whitepapers and technical POCs, and offers decentralized, privacy-preserving solutions.
Vocabulary anchor for the Personal AI OS thesis — kernel-layer substrate for human-AI co-evolution.
A position paper on the missing kernel layer between human judgment and self-evolving AI agents — provenance, drift protection, co-evolution.
Governed multi-model concurrence orchestration - debate until concurrence, not forced consensus. Position paper / thesis.
Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).
Position paper: coding agents need an explicit model of codebase decisions, not just structure"
Position paper: Elastic Automators — A Diagnostic Vocabulary for Language-Model-Driven Workflow Systems. Author: Alexandru Mares (allemaar.com).
[NeurIPS 2025, Position Paper Track] Simulating Society Requires Simulating Thought. LLM social simulation is stuck at demographics in, behavior out. We argue for reasoning fidelity: auditable causality, grounding in real individuals, consistency under counterfactuals. Project page and interactive demo.
Position paper and white paper drafts for open, modular, local-first AI for Science workflows.
The Limits of My Tokens: The Token-Substrate Hypothesis and the Coinage Probe — a position paper on LLM cognition paired with a pre-specified multi-model probe study.
Kernel implementation of Personal AI OS — runtime substrate enforcing provenance and judgment integrity.
Agents that distinguish current judgment from stale opinion in persistent memory.
Position paper: The Pre-Articulation Observability Boundary - A Structural Constraint on Language-Based AI Systems (December 2025)
Self-evolving agents whose every mutation must emit provenance — speed preserved, silent drift eliminated.
Agents instrumented with drift detection — execution-overrun, abstraction-drift, premature closure surfaced.
Position paper Ambactos Brain, MRFS et protocole prospectif RBR-01
Paper submitted to ECIS workshop on Surveillance in Digital Society
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