CAPABILITIES
What can models really do?
Ground capability claims in concrete tasks, carefully chosen examples, and clear evaluation criteria.
DATA · EVIDENCE · DISCOVERY
Better questions.Deeper evidence.
We use data to uncover the questions that matter in frontier AI.
Then we go deeper to understand the answers.
FRONTIER AI RESEARCHFrom observation to understanding
01 / WHAT WE STUDY
Progress brings
new questions.
AI is moving fast. We study the details that reveal how far it has come, where it falls short, and what deserves a closer look.
BOUNDARIES
Where do they break down?
Find the conditions that expose limitations, and investigate the patterns behind seemingly isolated failures.
EXPLANATIONS
Why does it happen?
Look closely at the evidence to understand what drives an outcome and when a conclusion holds.
02 / HOW WE WORK
Let the data
lead the inquiry.
We start with real tasks and concrete observations. Each step sharpens the question and gives us a stronger basis for the next.
- 01
Define
Turn an observation into a testable problem, with the tasks, data, and criteria needed to study it.
- 02
Discover
Design revealing experiments. Find capability gaps, recurring failures, and unexpected behavior.
- 03
Understand
Investigate the mechanisms, test explanations, and establish the conditions under which findings hold.
KEEP ASKING
Good research starts
with a question worth asking.
Explore our work or bring a research question to the conversation.
Explore ZetaLab on GitHub