We publish our findings to accelerate the safe development of AGI. Our work spans formal alignment, mechanistic interpretability, and planetary-scale systems.
Explore our specialized domains of inquiry.
From theoretical alignment to applied safety systems.
A Bankline research initiative to overcome the thermodynamic limits of AI scaling through deep-ocean infrastructure, developed in collaboration with domain experts and advanced AI modeling.
This research introduces the D3 Adaptive Memory Architecture, which solves the Temporal Event Horizon failure mode in standard RAG systems where data older than six months becomes statistically unretrievable.
The Dropstone D3 Engine utilizes a recursive swarm architecture to replace linear prompting with distributed, self-correcting agents, solving context saturation in long-horizon engineering tasks.
How Dropstone Horizon Mode decouples reasoning depth from context length to enable 24+ hour autonomous engineering workflows.
Moving beyond "Monolithic Context" to a deterministic, state-managed runtime for high-assurance engineering agents.