Tim Bass

Independent Researcher

Bangkok Metropolitan Area

Research Statement

My research focuses on AI alignment, cyber situational awareness, and multisensor data fusion. The core thesis is that RLHF-trained LLMs are not a path to AGI; instead, LLMs are most useful as bounded Knowledge Sources within human-directed architectures, while RLWF better describes how biological intelligence actually develops. This is independent, non-affiliated, volunteer research conducted as charitable work.

2026 Publications & Preprints (Updated April 24, 2026)

A Validation and Governance Framework for Multi-Agent LLM Scientific Software Development (2026-05-12) - IAIT2026 (Accepted; not camera ready) - Preprint: https://doi.org/10.5281/zenodo.20152238
When LLMs Pass Tests but Fail the Process: A Governance Framework and Empirical Study of Multi-Agent LLM Software Development (2026-04-24) - Preprint: https://doi.org/10.5281/zenodo.19736546
A Multi-Agent LLM Experiment Revealing Architect-Level Failure Modes in Scientific Software Development (2026-04-08) - Preprint: https://doi.org/10.5281/zenodo.19547884
A Deterministic Blackboard Knowledge Source Engine for Protein Missense Variant Interpretation: A Controlled Experiment in LLM-Assisted Scientific Software Development (2026-04-06) - Preprint: https://doi.org/10.5281/zenodo.19438177
Multi-Agent Development of a Domain-Specific Scientific Application: Complexity Classes in Building StellarPop (2026-04-04) - Preprint: https://doi.org/10.5281/zenodo.19414914
Blackboard SA: Operationalizing LLM Knowledge Source Specialization for Cyber Situational Awareness - ACM DTRAP (under review) - Preprint: https://doi.org/10.5281/zenodo.18824512
Deterministic Blackboard Pipelines with Specialized LLM Knowledge Sources: A Generalizable Architecture for Intelligent Multi-Stage Reasoning - IAIT2026 (Accepted for Publication) - Preprint: https://doi.org/10.5281/zenodo.19068475
Ethics for Artificial Intelligence: A Minimal Alignment Framework Based on Maitrī, Karuṇā, Muditā, and Upekṣā - Journal (under review) - Preprint: https://doi.org/10.5281/zenodo.19089392
A Reference Implementation and Exploratory Evaluation of the MKMU Ethical AI Framework - AI & Society, AI in Asia Collection (under review) - Preprint: https://doi.org/10.5281/zenodo.19143912
Digital Echopraxia - Preprint: https://doi.org/10.5281/zenodo.19851831

Concept Notes (Zenodo)

Reinforcement Learning from World Feedback (RLWF): A Preliminary Concept - https://doi.org/10.5281/zenodo.19176921
RLHF-Trained LLMs are Parasitic by Design: A Preliminary Concept Note - https://doi.org/10.5281/zenodo.19182346

Recent Projects

LLM Ruby Algorithm Error Benchmark
Zenodo software release (2026-04-23)
StellarPop: A Ruby on Rails Stellar Population Synthesis Pipeline
Zenodo software release (2026-04-04)
rh_math: A Pure-Ruby Gem for Bounded Benchmark Math and Comparison in rh_llm_benchmark
Zenodo software release (2026-04-09)
rh_llm_benchmark: A Controlled Experiment in LLM-Assisted Scientific Software Development for RH-related numerical workflows
Zenodo software release (2026-04-09)
quantum_bench: A Multi-Agent LLM Experiment Revealing Architect-Level Failure Modes in Scientific Software Development
Zenodo software release (2026-04-08)
protein_variants: A Controlled Experiment in LLM-Assisted Scientific Software Development using a deterministic blackboard architecture
Zenodo software release (2026-04-06)

RubyGems Packages

n_queens - Solves the N-Queens problem using dynamically selected algorithms. Returns solution count and solutions array for small n.
rh_math - A research-oriented pure-Ruby math layer for bounded analytic number theory evaluation workflows.
fits_parser - A lightweight Ruby parser for FITS files with header/HDU parsing and basic BINTABLE support.

Research Profiles