AI People Wiki

Browse by section

• Big SI

  16 leaders

  The founders and chief executives behind the largest AI companies.

• Builders & open source

  747 people

  Researchers, engineers, founders and maintainers building AI and open-source tools.

• Voices

  116 people

  Tech creators and communicators who explain AI to the public.

All people · A–Z · Companies · Topics

A rotating pick of profiles, refreshed daily.

• NCBuilders & open source

  Nicholas Carlini

  Research Scientist · Anthropic

• SABig SI

  Sam Altman

  Co-founder and Chief Executive Officer · OpenAI

• JDBuilders & open source

  Jesse Dodge

  Research scientist · Meta Superintelligence Labs

• EMBuilders & open source

  Emily M. Bender

  Thomas L. and Margo G. Wyckoff Endowed Professor, Department of Linguistics; Director, Computational Linguistics Laboratory · University of Washington

• KLBuilders & open source

  Karen Livescu

  Professor · Toyota Technological Institute at Chicago

• MLBuilders & open source

  Ming-Yu Liu

  Vice President of Cosmos Lab (Vice President of Research) · NVIDIA

• KLBuilders & open source

  Kenneth Li

  Researcher · Thinking Machines Lab

• JSBuilders & open source

  Julien Simon

  AI Operating Partner · Fortino Capital

• FLBuilders & open source

  Fei-Fei Li

  Co-founder/CEO · World Labs

• JHBig SI

  Jensen Huang

  Founder, President and Chief Executive Officer · NVIDIA

• SPBuilders & open source

  Sayak Paul

  Senior Research Engineer, working on diffusion models (since March 2026) · Hugging Face

• AMBuilders & open source

  Azalia Mirhoseini

  Assistant Professor of Computer Science; directs the Scaling Intelligence lab · Stanford University

Popular companies

• Google 121
• FAIR 106
• Skype 75
• DeepMind 64
• OpenAI 63
• NVIDIA 43
• Stanford University 40
• Amazon 39
• Anthropic 34
• Hugging Face 34
• IBM 29
• Apple 27
• UC Berkeley 27
• MIT 25

Topics

• Language models 285
• Teaching and writing 153
• Developer tools 140
• Agents 103
• ML frameworks and libraries 100
• Datasets and data 96
• Training systems 95
• Evaluation and benchmarks 93
• Inference and serving 91
• Chips and hardware 76
• Computer vision 75
• Image, video, and 3D generation 67
• Safety and alignment 64
• Reinforcement learning 58
• Multimodal models 53
• AI for science 51
• Speech and audio 46
• Robotics 43
• Machine-learning theory 36
• Interpretability 18