LLMpeople / Public Atlas
Meet the people shaping frontier language models.
LLMpeople helps the public understand who these researchers are, where they work, and which reports made them visible across core labs like OpenAI, Google Gemini, Meta AI, ByteDance Seed, and Alibaba Qwen, with extended coverage including MiniMax and Z.ai.
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
Shauna Kravec
Researcher focused on AI safety, reinforcement learning, and language models, with public work spanning red teaming, adversarial robustness, and model behavior.
Organizations
Context by lab and institution
A quick scan of the organizations most visible in the public atlas right now.
Google Gemini
Mountain View, United States
Google is where large-scale research, Gemini-era multimodality, and public product visibility now converge in the atlas.
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.
Moonshot AI
Beijing, China
Moonshot AI matters because Kimi made high-end long-context and multimodal systems feel consumer-facing and publicly discussable.
ByteDance Seed
Beijing, China
ByteDance Seed is ByteDance's frontier-model team for reasoning and multimodal systems.
DeepSeek
Hangzhou, China
DeepSeek stands out because the public has become deeply curious about how a lean team ships frontier-level reasoning systems.
Alibaba 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.
Z.ai
Beijing, China
Z.ai represents another branch of the Chinese frontier-model ecosystem, where GLM-style systems carry a distinct public identity.
MiniMax
Shanghai, China
MiniMax signals how quickly a newer lab can join the frontier conversation with its own model family and public presence.
Fresh profiles
Recently enriched
Profiles that recently gained enough detail to become useful public records.
Xintao Wang
MiniMax
Xintao Wang is a MiniMax report-backed author on MiniMax-Text-01, a MiniMax technical report in the LLMpeople catalog.
Kangning Liu
MiniMax
Kangning Liu is a MiniMax report-backed author on MiniMax-Text-01, a MiniMax technical report in the LLMpeople catalog.
Wenhui Huang
MiniMax
Wenhui Huang is a MiniMax report-backed author on MiniMax-Text-01, a MiniMax technical report in the LLMpeople catalog.