David Rozado
Article
David Rozado is a recurring person in the Astral Codex Ten archive, appearing 3 times across 3 issues between February 29, 2024 and October 13, 2025. The archive places it in contexts such as “David Rozado investigates how those words have been doing since then”; “Source: David Rozado”; “David Rozado, $50K , to study truth-seeking and bias in LLMs”. It most often appears alongside ACX Grants, Africa, Ethiopia.
Metadata
- Category: People
- Mention count: 3
- Issue count: 3
- First seen: February 29, 2024
- Last seen: October 13, 2025
Appears In
Related Pages
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- ACX Grants (2 shared issues)
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- Africa (2 shared issues)
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- Ethiopia (2 shared issues)
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- FAA (2 shared issues)
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- FDA (2 shared issues)
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- Hanania (2 shared issues)
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- Harvard (2 shared issues)
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- India (2 shared issues)
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- NYT (2 shared issues)
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- Panama (2 shared issues)
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- Republicans (2 shared issues)
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- Substack (2 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
23: Related: There was a lot of discussion a few years ago about charts showing frequency of “woke” words in the NYT. David Rozado investigates how those words have been doing since then and whether we’re “past peak wokeness” (it’s different for different words, but overall maybe slightly past?)
Source: David Rozado Hanania has no explanation for this. He talks about civil rights laws that have been in place since 1964 (he does say that maybe the new civil rights bill signed in 1991 inspired that decade’s interest in “political correctness”, but The Closing Of The American Mind, generally considered the opening shot in that debate, was published in 1987). Why would 1964 and 1991 laws turn wokeness into a huge deal in 2015? Hanania has no answer.
Inline links: David Rozado, The Closing Of The American Mind
David Rozado, $50K, to study truth-seeking and bias in LLMs. Suppose you ask a chatbot about minimum wages, and it summarizes economic research on the topic. Or suppose it’s 2030, GPT-7 has outpaced human economists, and you want it to do original analysis. How can you be sure that it’s not falling victim to the same political biases that might plague the rest of us? Professor Rozado studies this question in depth, working on tools that measure bias (for example, whether the AI will evaluate study methodologies consistently when the results favor different political views) and trying to determine what interventions (prompts, fine-tuning, etc) best ensure AI neutrality. Philip Tetlock, of superforecasting fame, will assist with this research.