A measurement framework for autonomous AI agency across 7 dimensions · Paper: arXiv:2607.17947
AI safety researcher, developing systematic approaches to detecting and measuring AI behavioral drift, identity preservation, and boundary integrity.
AI-powered ring sizing tool with real-time hand tracking, multiple measurement methods, and AR try-on features
Text-based measurement of AI investment and labor demand using 120K+ LinkedIn job postings. Combines NLP embedding models with econometric analysis (OLS, Negative Binomial) to examine how AI exposure relates to wages and job engagement. Framework for scalable, real-time AI intensity measurement.
ASI-Redefined :: Most ASI definitions are capability-first. ASI Redefined is evidence-first: capability is necessary, but ASI classification also requires validated continuity (memory substrate + identity binding) and behavioral coherence across time, context, pressure, and real-world execution.
MCP bridge for oscilloscope, logic analyzer, and microscope automation. AI-driven waveform analysis and schematic-aware measurement with Claude.
Signed AI-Outcome Receipts (SAOR v0.1): local, signed cost-per-AI-outcome receipts. Spec + producer CLI + offline verifier. Nothing leaves your machine.
ROI frameworks, CFO metrics, KPIs, and business case templates for enterprise GenAI investments. Covers 3-tier model, agentic AI vs RPA, cost-per-outcome pricing. Updated May 2026.
Companion code for the essay series On Measurement and Honest Growth in AI Systems - reproducible controlled experiments, fixed seeds, reference results.
🤖 Define Artificial Superintelligence with a focus on behavioral coherence, ensuring reliable evaluation and safety in real-world applications.
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