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Sam McCandlish

Sam McCandlish

AI Researcher

Organization
Anthropic

Position
Research Scientist

h-Index--
Citations85,317
Followers--
Awards0
Publications0
Companies3

Intelligence Briefing

Sam McCandlish is a prominent AI researcher known for his work on scaling laws and safety in artificial intelligence.

With a background in both theoretical and applied aspects of AI, Sam McCandlish has contributed significantly to the understanding of scaling laws in machine learning models. He is currently a research scientist at Anthropic, where he focuses on ensuring the safety and alignment of advanced AI systems. Prior to joining Anthropic, he was involved with OpenAI, where he worked on various projects related to AI safety and development.

Expertise
Scaling LawsSafetyAnthropic
Education

BS, Brandeis University

PhD, Stanford University

Operational History

2021

Joined Anthropic

Sam McCandlish joined Anthropic as a research scientist focusing on AI safety and scaling laws.

career
2020

Contributed to OpenAI's GPT-3

Worked on the development and scaling of the GPT-3 model at OpenAI.

career
2019

PhD Completion

Completed his PhD at Stanford University, focusing on machine learning and AI safety.

career
2018

Research on Scaling Laws

Published research on the implications of scaling laws in neural networks.

research
2017

BS Degree

Graduated with a Bachelor of Science from Brandeis University.

career

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Advocates for proactive safety measures in AI development.

Safety Approach

Advocates for proactive safety measures in AI development.

Intercepted Communications

The future of AI safety depends on our ability to understand and manage scaling laws.

Conference on AI Safety2022-05-15AI Safety

Scaling laws provide critical insights into the capabilities of AI systems as they grow.

AI Research Journal2021-11-10Scaling Laws

We must prioritize safety in AI development to prevent unintended consequences.

AI Ethics Symposium2023-01-20AI Ethics

Understanding the limits of AI is as important as pushing its boundaries.

Tech Talk2023-03-01AI Development

Collaboration across the AI community is essential for advancing safety measures.

Panel Discussion2022-09-10Collaboration

Known Associates

Organizational Affiliations

Current

Anthropic

Research Scientist

2021-Present

Former

OpenAI

Researcher

2019-2021

Stanford University

PhD Candidate

2015-2019

Dossier last updated: 2026-03-04