About ExoSigma

ExoSigma is an independent effort to study a handful of hard problems in AI. The work is early, and nothing has been published yet.

Some questions need time.

Working independently leaves room to follow a question even when it does not lead quickly to a product or a neat result. If the evidence points somewhere else, the plan should change.

Operating principles

01

Make the idea testable

A broad idea has to become a prediction an experiment could show to be wrong.

02

Use a strong baseline

Any benefit of a more complicated method should show up against a strong simple baseline.

03

Show the setup

A public result should include enough detail to understand how it was produced.

04

Report useful failures

A failed experiment can still rule something out. Say so plainly.

05

Publish when it is ready

Release work when the method, result, and limits are clear enough to inspect.

06

Be careful with biology

Neuroscience can suggest a mechanism. It cannot stand in for testing one.

Still at the beginning.

ExoSigma is being set up, and the first research questions are taking shape. There are no papers or model releases yet.

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