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AN INDEPENDENT AI RESEARCH LAB

Making AI more capable. And more reliable.

We study the foundations of machine intelligence and work toward AI systems that are more understandable, robust, and aligned with human intentions.

EXPLORE OUR RESEARCH OUR APPROACH

MISSION

Intelligence is advancing. Understanding must keep pace.

We study how AI systems learn, reason, and behave. Our goal is to make increasingly capable systems more understandable and reliable.

RESEARCH

Four perspectives. One underlying question.

Understanding intelligence means investigating both what AI can do and how it works.

  1. 01
    Fig. 01 — Conceptual

    AI Safety & Reliability

    Understanding failure, improving robustness, and evaluating how AI behaves beyond controlled conditions.

  2. 02
    Fig. 02 — Conceptual

    Machine Intelligence

    Investigating how models learn, reason, form representations, and generalize.

  3. 03
    Fig. 03 — Conceptual

    Alignment & Interpretability

    Exploring how models work internally and whether their behavior reflects intended objectives.

  4. 04
    Fig. 04 — Conceptual

    Open Science & Evaluation

    Making research more transparent, reproducible, and open to scrutiny.

OPEN QUESTIONS

The questions we cannot ignore.

Q—01 / 04
  1. Can we predict when AI will fail?
  2. What happens inside a model?
  3. How do we measure genuine capability?
  4. Can alignment keep pace with intelligence?

METHOD

Research is a process of revision.

Every finding creates another question. Every assumption must withstand scrutiny.

  1. Investigate

    Define the question.

    Fig. 4.1 — conceptual

  2. Experiment

    Test the hypothesis.

    Fig. 4.2 — conceptual

  3. Evaluate

    Examine the evidence.

    Fig. 4.3 — conceptual

  4. Refine

    Revise what we know.

    Fig. 4.4 — conceptual

CONNECT

Good questions deserve good company.

Have an idea, a research question, or an interest in working together? Let’s talk.

A — Collaboration

Research collaboration

Share an idea or explore a research question together.

B — Careers

Careers & opportunities

Bring curiosity, rigor, and a willingness to challenge assumptions.

The future of AI depends on what we understand today.

Explore the questions shaping a more understandable and reliable future for AI.

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