Sam McCandlish
Also known as Samuel McCandlish
Sam McCandlish is a co-founder of Anthropic, a company formed to promote AI safety, and he works there as chief architect. He completed a PhD at Stanford University in 2017 with a dissertation titled Depth Perception in Holography. He submitted Scaling Laws for Neural Language Models to arXiv in January 2020, and Language Models are Few-Shot Learners received an Outstanding Paper award at NeurIPS in 2020. Constitutional AI: Harmlessness from AI Feedback, a paper he co-authored, was submitted to arXiv in December 2022. In October 2025 he moved from the CTO role to chief architect.
Timeline
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2017
A holography dissertation
At Stanford University he completes a PhD in 2017 with the dissertation Depth Perception in Holography.
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January 2020
Scaling laws for language models
In January 2020 he submits Scaling Laws for Neural Language Models to arXiv.
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2020
An outstanding paper award
Language Models are Few-Shot Learners, a paper he co-authors, wins an Outstanding Paper award at NeurIPS in 2020.
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January 2021
Co-founding Anthropic
He co-founds Anthropic, which former members of OpenAI start in January 2021 to promote AI safety.
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2022
Constitutional AI and RLHF
He is an author of Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback, submitted in April 2022. Constitutional AI: Harmlessness from AI Feedback, submitted in December 2022, also lists him as an author.
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October 2025
Moving to chief architect
In October 2025 he takes on the chief architect role, after serving as Anthropic's CTO.
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As of October 2026
Chief architect at Anthropic
He is co-founder and chief architect of Anthropic, and he focuses on large-scale model training.
Sources and credits
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- Samuel McCandlish - The Mathematics Genealogy Project
- [2001.08361] Scaling Laws for Neural Language Models
- NeurIPS 2020 Awards
- [2005.14165] Language Models are Few-Shot Learners
- Leadership at Anthropic \ Anthropic
- Anthropic - Wikipedia
- [2204.05862] Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- [2212.08073] Constitutional AI: Harmlessness from AI Feedback
- Rahul Patil joins as Chief Technology Officer \ Anthropic