明度
BRIGHT
ORDL

Research Mission

ORDL NLDA MK-II represents a paradigm shift in neural-linguistic domain architecture. Our research program spans alignment, interpretability, societal impacts, and frontier safety evaluation. We are committed to developing AI systems that are reliable, understandable, and beneficial.

Alignment

Ensuring NLDA systems pursue intended goals and remain robust under distributional shift. Constitutional training, scalable oversight, and mechanistic interpretability.

Interpretability

Reverse-engineering the internal representations of frontier models. Sparse autoencoders, circuit tracing, and attribution graphs for understanding model cognition.

Societal Impacts

Measuring and mitigating the effects of AI deployment on labor markets, information ecosystems, and social structures. Evidence-based policy recommendations.

Frontier Evaluation

Red-teaming and capability assessment for next-generation models. Cybersecurity evaluations, biological risk assessment, and autonomy measurement frameworks.

Recent Publications

Models

NLDA-MK-II Memory

Native embedded memory model with weights and tensors for persistent context recall. Training ongoing.

NLDA-MK-II Tool

Native embedded tool model with weights and tensors for tool invocation and execution. Training ongoing.

NLDA-MK-II Base

Deterministic transformer-based inference engine with zero external dependencies. Training and evaluation ongoing.

NLDA-MK-II Quantized

Q8_0 quantized variant for edge deployment. Active training and testing in progress.

NLDA-MK-II Mesh

Multi-node consensus model for distributed inference. Beta testing underway.