From Theory to Practice

At Timaeus, we research applications of singular learning theory to AI safety and alignment.

Open Roles

Our Mission

To empower humanity by making breakthrough scientific progress on AI safety.

We are first and foremost a research organization, working on advancing our understanding of advanced AI systems, so we can achieve safe and positive outcomes.


AI Safety

Humanity is building highly powerful AI systems but we still do not know how to ensure those systems are robustly aligned with human values. We conduct scientific research to ensure the development of advanced AI systems goes well.


Singular Learning Theory

At Timaeus, we’re using singular learning theory to develop the science of understanding how training data determines model behavior.
  1. Data
  2. We study how patterns in training data determine…

  3. Geometry
  4. …the geometry of the loss landscape, which determines…

  5. Learning Process
  6. …the learning trajectory followed by SGD, which determines…

  7. Algorithms
  8. …the ultimate algorithms and behaviors learned by neural networks.


Our Research

Evals

The aim of our research on model evaluations is to advance the science of generalization, to predict how large learning machines will behave.

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Interpretability

The aim of our research on interpretability is to understand how large learning machines work on the inside.

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Alignment

The aim of our research on alignment is to advance the reliability and robustness of our techniques for aligning advanced AI systems with human values.

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