Dan Hendrycks
Article
Dan Hendrycks is a recurring person in the Astral Codex Ten archive, appearing 5 times across 5 issues between December 20, 2022 and January 27, 2025. The archive places it in contexts such as ""Q&A dataset developed by Dan Hendrycks et al.""; “This is a great new paper from Dan Hendrycks”; “featured speakers include Dan Hendrycks”. It most often appears alongside Center for AI Safety, Anthropic, Elon Musk.
Metadata
- Category: People
- Mention count: 5
- Issue count: 5
- First seen: December 20, 2022
- Last seen: January 27, 2025
Appears In
- Prediction Market FAQ
- The Road To Honest AI
- Open Thread 323
- SB 1047: Our Side Of The Story
- Open Thread 366
Related Pages
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- Center for AI Safety (3 shared issues)
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- Anthropic (2 shared issues)
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- Elon Musk (2 shared issues)
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- Fortune (2 shared issues)
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- Google (2 shared issues)
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- OpenAI (2 shared issues)
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- PredictIt (2 shared issues)
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- YIMBY (2 shared issues)
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- 2028 (1 shared issues)
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- 7-11 (1 shared issues)
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- 80,000 Hours (1 shared issues)
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- @GroundHogStrat (1 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.
High competency at a diverse fields of expertise, as measured by achieving at least 75% accuracy in every task and 90% mean accuracy across all tasks in the Q&A dataset developed by Dan Hendrycks et al..
Inline links: Dan Hendrycks et al.
Able to get top-1 strict accuracy of at least 90.0% on interview-level problems found in the APPS benchmark introduced by Dan Hendrycks, Steven Basart et al. Top-1 accuracy is distinguished, as in the paper, from top-k accuracy in which k outputs from the model are generated, and the best output is selected.
Inline links: Dan Hendrycks, Steven Basart et al
This is a great new paper from Dan Hendrycks, the Center for AI Safety, and a big team of academic co-authors.
Inline links: This is a great new paper
The Japanese AI safety community apparently exists and is holding a Technical AI Safety Conference in Tokyo in, uh, four days, so if you’re interested sign up quickly. Attendance is free, it looks like the talks are in English, and featured speakers include Dan Hendrycks and researchers from Anthropic and DeepMind.
Inline links: sign up quickly
Center for AI Safety is the one I already knew about. An AI researcher named Dan Hendrycks got really into AI safety and apparently works 70 hour days; I try to follow this space closely and am boggled by the amount of projects he has going at any given time - several lobbying efforts, a bunch of research projects, various showcases of model capabilities, and being Elon Musk's safety advisor at X.AI. Hendrycks has gotten a reputation for being incorruptible (he gave away ~$20 million in AI company equity2 after trolls tried to turn it into a "conflict of interest" and use it to discredit his lobbying) and intense (I don't think it's a coincidence that he gets along with Elon so well). At some point he founded CAIS to keep track of all his efforts, I'm not surprised to see them involved here too, and I imagine they provided some much-needed technical expertise.
Inline links: Center for AI Safety, 2
2: Dan Hendrycks’ Center For AI Safety is offering an online course (application deadline Feb 5, course dates Feb 19 to May 9). You could also just download the textbook. I’ve seen a decent number of people get involved in the field starting with courses like these - not because the course itself completely prepares you for everything, but because it helps you understand things well enough that you know where to go next (and it says that “we will support you in identifying your next steps, whether that involves building upon your end-of-course project, pursuing further research, or applying for relevant opportunities.”)