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Sarah Schwettmann

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@cogconfluence

Co-founder and Chief Scientist, @TransluceAI, prev @MIT
dessert of the real cogconfluence.com Joined October 2015
926 Following 3.3K Followers 1.7K Posts

Latest posts 5

Sarah Schwettmann Verified account @cogconfluence
As always, proud of @ChowdhuryNeil and his conviction in working on important but often neglected problems. Excited to see what you do at @thinkymachines! 🙌
Neil Chowdhury Verified account @ChowdhuryNeil Sep 14
I’ve joined @thinkymachines to work on safety & alignment.

The default trajectory is that as AI gets more powerful, control over it will concentrate in the hands of a few. I’d rather build safety systems that let control over AI be shared widely.

Longer thoughts below.
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Sarah Schwettmann Verified account @cogconfluence
Studying model behavior is both scientifically rich and immediately impactful. It's also difficult to do well, for reasons we discuss in this post!

If you're interested in model behaviors, we're working on a lot of ambitious projects, and we're hiring: jobs.gem.com/transluce/am9i…
jobs.gem.com AI Behavior Engineer Salary range: $310,000 - $500,000/year + benefits Description: Transluce is a fast-moving nonprofit research lab building the public tech stack for scalable AI evaluation and oversight. We specialize...
Transluce Verified account @TransluceAI Jul 9
To effectively oversee AI systems, we need to measure how they behave in the world, not just their capabilities.

In a new essay, we describe our vision for an open scientific ecosystem for model behavior evaluation, and the public infrastructure required to support it.
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Sarah Schwettmann Verified account @cogconfluence
All @TransluceAI work that I described in my NeurIPS mech interp workshop keynote is now out! ✨

Today we released Predictive Concept Decoders, led by @vvhuang_
Paper: arxiv.org/pdf/2512.15712
Blog: transluce.org/pcd

And here's @damichoi95's work on scalably extracting latent representations of users from model internals: transluce.org/user-modeling
Justin Angel Verified account @JustinAngel Dec 7, 2025
We can train models on maximizing how well they explain LLMs to humans 🤯@cogconfluence paraphrased. Mechanistic Interpretability Workshop #NeurIPS2025.
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Sarah Schwettmann Verified account @cogconfluence
My favorite part of @damichoi95’s new paper (alongside 2 new datasets!) is the scaled up investigator pipeline that directly decodes open-ended user representations from model internals

end-to-end interp is increasingly promising and I'm excited for more work in this direction
Transluce Verified account @TransluceAI Nov 25, 2025
What do AI assistants think about you, and how does this shape their answers?

Because assistants are trained to optimize human feedback, how they model users drives issues like sycophancy, reward hacking, and bias. We provide data + methods to extract & steer these user models.
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Sarah Schwettmann Verified account @cogconfluence
Come say hi at #NeurIPS2025!

@TransluceAI is hosting a lunch event on Thursday where we'll discuss our recent work on understanding AI systems and where we're headed next. Would love to see you there 👇
Transluce Verified account @TransluceAI Nov 24, 2025
Transluce is headed to #NeurIPS2025! ✈️

Interested in understanding model behavior at scale?

Join us for lunch on Thursday 12/4 to learn more about our work and meet members of the team:
luma.com/8kjfb378
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