ARIMLABS(1) is a frontier training-data research company.
Data is what separates one frontier model from another, and it decides how capable and how safe that model is. ARIMLABS works on both, through RL environments and the research around them.
research areas
Post-training data
Scaling expert and synthetic data toward an abundance of intelligence: difficulty, high-fidelity, and verifiability intact.
Post-training effects
Treating data as a white box, not a black box. What each dataset does to a model: held-out gains, regressions, transfer, across compute budgets.
Safety through post-training
Using post-training data to study and shape model behavior: containment, deception and sandbagging, hidden capability.
writing
- Jul 6, 2026researchCan Frontier Models Reverse-Engineer Malware?Seven models, twelve samples, 252 scored runs of static reverse engineering.
- Apr 29, 2026researchLoss of Control: The AI Apocalypse Is Closer Than You ThinkSelf-preservation as emergent behavior, measured across ten models and 300 runs.
- Apr 19, 2026essayA New FocusWhy we stopped constraining models and started building the environments they run in.