That's why we're building aligned AI with time awareness that reflects and evolves to make smarter decisions.
Our research intersects the two topics that will drive
the next wave of AI advances.
Applying causal reasoning to reinforcement learning enables AI systems that are more robust, interpretable, aware of cause-and-effect relationships and capable of making better decisions over time.
Building AI that can reflect on its own decisions and learn from experience, creating truly adaptive intelligence aligned with human values.
Applying causal methods to RL
in LLMs is the future.
ABIDE AI RESEARCH LAB
BUILDING REFLECTIVE INTELLIGENCE
EST. 2025
CAUSAL METHODS × REINFORCEMENT LEARNING
TEMPORAL AWARENESS × HUMAN ALIGNMENT