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OS12 • applied ai research

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Applied AI research and system design for adaptive, agentic, autonomous software.


The next orders of magnitude in software creation and automation will not come from larger models alone, but from fully exploiting the three scale-up axes identified in the situational-awareness literature: compute, algorithmic efficiency, and unhobbling gains. We exist to operationalize the third axis at system scale.

Compute growth and algorithmic progress are predictable tailwinds. Effective compute continues to rise, driving down the cost of cognition and making higher-capacity models inevitable. These forces matter, but they are not where the deepest leverage lies.

The true frontier is unhobbling: unlocking latent capability through chain-of-thought reasoning, tool-augmented execution, multi-agent collaboration, reinforcement-driven long-horizon behavior, and full operating-system and browser interaction. Models already contain far more ability than they express. Our job is to remove constraints, build the scaffolding, and design the system architectures that turn raw cognition into autonomous capability.

While most AI tooling focuses on wrappers and incremental user-experience improvements, we focus on agentic systems: persistent memory, recursive reasoning loops, collaboration frameworks, and full environmental control. Compute and algorithms improve on their own; we amplify those improvements.

By 2027, all three scale-up axes will reinforce each other. The group that channels these compounding forces into real autonomy becomes the engine for next-generation software and applied intelligence. We intend to be that engine.

If you're ambitious, sharp, and driven to push the frontier of agentic automation rather than simply use it, you belong with us.

Foundations

AI will be shaped by three forces: compute (NVIDIA, Cerebras), algorithmic efficiency (OpenAI, DeepMind), and system-level autonomy , the later is what OS12 wants to explore.

Active Projects

coshot.dev

Assistive auto‑completion system for applications. Captures your knowledge base to generate replies and app‑specific content.

dereference.dev

Parallel workflow IDE leveraging Git worktrees. Multi‑agent architecture for concurrent task execution across isolated worktrees.