LLMpeople / Public Atlas
Meet the people shaping frontier language models.
LLMpeople is built to help the public understand who these researchers are, what kinds of organizations they work in, and which reports made them visible. The focus is curation, context, and respect.
Discovery
Start with one person
A random entry point for readers who want to learn about a researcher rather than navigate by institution first.
Random profile
Diyi Yang
Diyi Yang is an assistant professor of computer science at Stanford University. Her research focuses on natural language processing and machine learning, especially human-centered AI, social computing, and computational social science. She earned her PhD in language technologies from Carnegie Mellon University.
Organizations
Context by lab and institution
A quick scan of the organizations most visible in the public atlas right now.
Moonshot AI
Beijing, China
Moonshot AI matters because Kimi made high-end long-context and multimodal systems feel consumer-facing and publicly discussable.
OpenAI
San Francisco, United States
OpenAI is where much of the public story around GPT systems became legible through reports, releases, and recognizable research teams.
DeepSeek
Hangzhou, China
DeepSeek stands out because the public has become deeply curious about how a lean team ships frontier-level reasoning systems.
Z.ai
Beijing, China
Z.ai represents another branch of the Chinese frontier-model ecosystem, where GLM-style systems carry a distinct public identity.
Mountain View, United States
Google is where large-scale research, Gemini-era multimodality, and public product visibility now converge in the atlas.
MiniMax
Shanghai, China
MiniMax signals how quickly a newer lab can join the frontier conversation with its own model family and public presence.
Qwen
Hangzhou, China
Qwen is one of the clearest examples of a large industrial lab turning model families into a long-running public research program.
Anthropic
San Francisco, United States
Anthropic matters because Claude made safety, system behavior, and model governance part of mainstream AI conversation.
Fresh profiles
Recently enriched
Profiles that recently gained enough detail to become useful public records.
Ching-Yao Chuang
NVIDIA
Ching-Yao Chuang is a research scientist at NVIDIA working on computer vision, machine learning, and generative AI.
Jean-Baptiste Alayrac
Mistral AI
Jean-Baptiste Alayrac is a researcher focused on multimodal learning, vision-language modeling, and video understanding.
Simon Goldstein
Anthropic
Assistant Professor of Philosophy at The University of Hong Kong and Research Fellow at Anthropic, working in ethics, epistemology, and social and political philosophy.
Beth Barnes
Anthropic
President of METR and former team member at Anthropic whose work focuses on evaluating and forecasting frontier AI capabilities.
Holden Karnofsky
Anthropic
Co-founder and president of Anthropic and writer of the Cold Takes blog.
Jan Brauner
Anthropic
Computer scientist at Anthropic focused on making advanced AI systems safe and beneficial.