People

Engineer and former robotics CTO whose Anthropic work combined minimal agent scaffolding with carefully designed tools, and whose public views emphasize reliability and auditable results.

AI engineer whose work spans NVIDIA Cosmos, Grok Imagine and mixture-of-experts language models, with a focus on interactive video and the language systems behind it.

Featherless AI cofounder and CEO, RWKV research collaborator, and advocate for affordable, multilingual open-model inference.

Applied AI scientist and writer working on reliable LLM systems, evaluation, and recommendations.

San Francisco Compute cofounder focused on making GPU capacity tradable and reducing the risks of long compute commitments.

Genesis co-founder and molecular machine-learning researcher whose work spans learned molecular representations and the accuracy needed for AI-assisted drug discovery.

Moonlake cofounder and AI researcher working on interactive worlds, embodied-agent training environments, and structured representations for reasoning.

The Stanford computer scientist and World Labs cofounder helped build ImageNet and its shared recognition benchmark. Her work also spans scene description, dataset fairness, and spatial intelligence.

Anthropic engineer and Electron co-maintainer whose work brings AI task execution to the desktop.

Lindy founder whose work on AI agents combines constrained workflows, model capabilities and software integrations.

OpenAI engineer whose work on Codex and Codex CLI informs his approach to sandboxing, network restrictions and human control of code-executing agents.

AI educator at UC Berkeley who advocates combining language models with ontologies to constrain agent behavior.

Astro creator and Flue developer bringing composable hooks, dynamic capabilities and a built-in harness to AI agents.

Boltz co-founder and CEO whose research spans molecular docking, generalization to unfamiliar protein pockets, and open biomolecular interaction models.

Y Combinator’s president and CEO advocates AI-native companies and shares gstack, his workflow for organizing AI-assisted software development.

Creator of NanoClaw and co-founder and CEO of NanoCo, building AI agents around scoped access, container isolation and a customizable core.

Creator of the Ralph Loop, coding-agent educator, and advocate for autonomous software development guided by senior engineering judgment.

Researcher and designer of malleable software, exploring how AI can help people build, understand and reshape their own tools.

Artificial Analysis co-founder and CPO working on independent AI benchmarking, agent evaluation, and the trade-offs behind model selection.

Creator of tinygrad and founder of tiny corp, pursuing simpler AI software and more accessible compute.

Natural language processing researcher and All Hands AI cofounder whose work spans neural-network tools, realistic agent benchmarks, and open software-development agents.

Founder of Wand, building AI drawing tools around visual control, artistic skill and personalized models.

Gamma’s co-founder and CEO on content-first creation, AI onboarding, and building a lean team.

Designer and engineer working on generative AI interfaces, from hand-controlled image exploration to agentic canvases, video tools and live music instruments.

OpenAI cofounder and engineering leader whose work spans infrastructure, reinforcement learning and the practical design of coding agents.

Google Brain co-founder and word2vec co-author whose healthcare AI work emphasizes clinical validation alongside model capability.

ARC Prize Foundation president whose work spans AI evaluation, long-context retrieval testing, and practical AI applications.

Engineer and Subroutine cofounder working on AI agents, trusted skill distribution, and development tools that make agent behavior easier to test and constrain.

NVIDIA research scientist working on agentic robotics, reusable agent skills and learning game controls from internet video.

Mistral’s co-founder and Chief Science Officer has contributed to efficient language models, unsupervised translation and neural symbolic mathematics.