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Language models and the ineffable
The limits of our language-based benchmarks are the limits of our language.
8 hrs ago
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Sean Trott
4
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Language models and the ineffable
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Poll results, and other updates
A tie between an explainer on model efficiency and an empirical survey of the interpretability literature.
Aug 3
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Sean Trott
2
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Poll results, and other updates
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July 2025
Counterfactual poll
Poll for July/August, 2025
Jul 22
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Sean Trott
2
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Counterfactual poll
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Vision-language models (VLMs), explained (pt. 2)
The view from Cognitive Science.
Jul 21
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Sean Trott
4
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Vision-language models (VLMs), explained (pt. 2)
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Newsletter updates
Papers, projects, and a new newsletter.
Jul 13
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Sean Trott
8
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Newsletter updates
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5
How I started studying large language models
It all comes back to what we mean by what we say.
Jul 7
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Sean Trott
10
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How I started studying large language models
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We should be cautious about LLM-generated benchmarks
Synthetic data has its place, but stimuli are at the heart of how we probe and assess LLMs (and humans)—and that calls for special care.
Jul 1
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Sean Trott
2
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We should be cautious about LLM-generated benchmarks
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June 2025
How I use (and don't use) ChatGPT
An update on when and how I use LLM-equipped software tools, and when (and why) I don't.
Jun 24
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Sean Trott
6
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How I use (and don't use) ChatGPT
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6
Why isn't language more iconic?
If non-arbitrariness helps with word leaning, why are languages still mostly arbitrary?
Jun 5
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Sean Trott
4
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Why isn't language more iconic?
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May 2025
When words sound (or look) like what they mean
Not all form-meaning mappings are arbitrary.
May 14
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Sean Trott
7
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When words sound (or look) like what they mean
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2
Informed consent is central to research ethics
On the unauthorized experiment conducted on a subreddit community.
May 8
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Sean Trott
3
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Informed consent is central to research ethics
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April 2025
Identifying signatures of LLM-generated text
What metrics from open-source LLMs can tell us about the differences between human essays and those written by ChatGPT-3 and ChatGPT-4.
Apr 18
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Sean Trott
6
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Identifying signatures of LLM-generated text
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