Research
Understanding intelligent systems
How AI systems learn, where they break, and how to make them dependable.
Research areas
A
Language & retrieval
Grounding model answers in documents and measuring when they stay faithful.
B
Agents & games
Agents that play, explore and test environments, and what they reveal about learning.
C
Evaluation
Practical benchmarks and tools that show how models behave on real tasks.
D
Search & ranking
How ranking systems reward content, and how AI changes discovery online.
E
Human-AI interaction
Interfaces and workflows that keep people in control and informed.
F
Safety & reliability
Testing for failure modes before systems reach users.
How it works
- QuestionStart from a concrete problem a real user has.
- ExperimentSmall, repeatable experiments with clear measures.
- BuildTurn results into working tools, not just papers.
- SharePublish findings and release what we can.
Collaborate on research
Open to shared work with universities, studios and companies.