People

Cube co-founder and CEO whose work connects governed semantic definitions with AI-driven analytics and human control.

Glean co-founder and CEO focused on company context, enterprise retrieval, and the cost and reliability of AI at work.

Microsoft executive whose AI-platform work emphasized agent orchestration, governance, and feedback-driven model improvement, before she became Xbox CEO in 2026.

Reinforcement learning researcher whose contributions include Genie's latent action model, Gato's early Atari prototype, and imitation learning from observations.

Foundation Capital general partner and enterprise AI investor who, with Jaya Gupta, developed the context-graph thesis: preserving how organizations make decisions as a foundation for AI agents.

Reinforcement-learning researcher whose work spans Berkeley robotics, OpenAI reasoning models and model development at Cursor.

Known publicly as Auriel W, Wright has worked on reinforcement learning at Gemini and writes about inspecting model behavior, designing rewards, and choosing economically relevant training tasks.

Andon Labs cofounder and Vending-Bench coauthor studying whether autonomous AI agents can sustain coherent decisions and run businesses.

Hungarian technologist and Agent Community founder working on AI-agent identity, discovery, and machine-readable publishing.

AI researcher and technology leader whose work includes Jamba’s hybrid language models and a case for input-specific, resource-aware AI execution.

Amplify Partners investor, AI engineering survey organizer and Barrchives host whose writing examines agent controls, evaluations and AI product decisions.

Co-founder of the AI Engineer conferences, with work spanning vendor-neutral technical events and the announcement of LLM-powered attendee matching.

Replicate co-founder and Cog co-creator whose work makes machine learning models usable by software developers.

Software developer and educator building AI-assisted tools for development, conversation, and personal knowledge.

Machine-learning researcher whose collaborative work spans diffusion models, text-to-3D generation, dynamic scene reconstruction and neural-network learning.

Sourcegraph co-founder and Amp co-founder whose work on AI coding tools emphasizes code context, transparency, and reliable automation.

AI engineer and RiskAngle cofounder whose documented work includes coding-agent integrations and guidance on preserving reasoning during tool use.

Coauthor of Diffusion Transformers and former head of Sora, with research spanning image generation, learned optimization and visual alignment.

Biomedical AI researcher associated with scGPT and Xaira’s X-Cell, whose work spans single-cell analysis, perturbation prediction and medical AI education.

Creator of Claude Code, known for a composable terminal agent and an engineering approach that favors simple mechanisms around capable models.

Machine-learning scientist working on RNA drug discovery at Atomic AI and cohost of Latent Space’s AI for Science podcast.

Nomic cofounder and AI researcher whose collaborative work spans open language models, reproducible embeddings, and computational approaches to how meaning changes.

Founder of Hercules, an AI app builder for business, and former founder and CEO of Fig, acquired by AWS in 2023.

AI researcher working on autonomous research agents, specialized language models, and learning environments, with earlier contributions to retrieval and image-classifier training.

Sierra co-founder and chair of OpenAI’s Foundation and Group PBC boards, with earlier work spanning Google Maps, FriendFeed, Facebook, Quip and Salesforce.

Limitless co-founder focused on user research, data science, and the role of human decisions in AI-assisted work.

OpenAI Applied Evals contributor and entrepreneur whose public work includes a proposal for multi-turn agent evaluation.

Technology podcaster, internet historian and investor whose AI work centers on product differentiation, usable interfaces and practical tools for creators.

CRV general partner investing in AI infrastructure and writing about agent experience, software distribution, and expertise embedded in products.

AI leader, recommendation-systems author and teacher whose work connects model capabilities with evaluation, editable workflows and software lifecycle management.