8 papers
Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence
Marc Bara
Multi-agent AI systems improve inference by spawning agents and synthesizing reports. But another agent is not another observation: apparently independent reports may descend from…
HAIF: A Human-AI Integration Framework for Hybrid Team Operations
Marc Bara
The rapid deployment of generative AI, copilots, and agentic systems in knowledge work has created an operational gap: no existing framework addresses how to organize daily work in…
Moravec's Paradox and Restrepo's Model: Limits of AGI Automation in Growth
Marc Bara
This note extends Restrepo (2025)'s model of economic growth under AGI by incorporating Moravec's Paradox -the observation that tasks requiring sensorimotor skills remain computati…
PromptChain: A Decentralized Web3 Architecture for Managing AI Prompts as Digital Assets
Marc Bara
We present PromptChain, a decentralized Web3 architecture that establishes AI prompts as first-class digital assets with verifiable ownership, version control, and monetization cap…
Unexplored Opportunities for Automatic Differentiation in Astrophysics
Marc Bara
We present a systematic analysis of automatic differentiation (AD) applications in astrophysics, identifying domains where gradient-based optimization could provide significant com…
Dataless Neural Networks for Resource-Constrained Project Scheduling
Marc Bara
Dataless neural networks represent a paradigm shift in applying neural architectures to combinatorial optimization problems, eliminating the need for training datasets by encoding…
Spiking Neural Networks for SAR Interferometric Phase Unwrapping: A Theoretical Framework for Energy-Efficient Processing
Marc Bara
We present the first theoretical framework for applying spiking neural networks (SNNs) to synthetic aperture radar (SAR) interferometric phase unwrapping. Despite extensive researc…
Accessibility Barriers in Multi-Terabyte Public Datasets: The Gap Between Promise and Practice
Marc Bara
The promise of "free and open" multi-terabyte datasets often collides with harsh realities. While these datasets may be technically accessible, practical barriers -- from processin…