People

Cognition co-founder and product leader whose writing explains context engineering, coordinated agents, and the infrastructure needed for autonomous software development.

AI evaluation researcher and Arena co-founder whose work combines crowdsourced human preferences with automated benchmarks for model development.

Omar Qazi’s public commentary spans local language-model inference and Tesla’s Full Self-Driving system.

Creator of Verifiers and a Prime Intellect researcher working on reinforcement learning for agents that use tools across multiple turns.

Exa co-founder whose work and public arguments center on neural search and the retrieval needs of AI systems.

Chai founder whose work centers on user-created AI, human-feedback evaluation and engagement-driven inference.

Axolotl maintainer and Open Access AI Collective founder whose work focuses on making language-model fine-tuning reproducible, efficient, and easier to use.

Speech researcher whose collaborative work includes diffusion-generated training data and methods for separating speech content from vocal style.

Convolutional-network researcher and Turing Award recipient whose work on self-supervised learning centers on predictive representations of the world.

Petcube co-founder and founder of The Fourth Law, focused on scalable onboard AI autonomy for drones.

Founder of Chatbase, building customer-facing AI agents with a focus on model improvements, consolidated infrastructure, and customer trust.

Language-model researcher whose work spans transformer architecture, training objectives, generative retrieval and Gemini reasoning.

Inference engineer and open-source maintainer whose work spans SGLang, FlashInfer, production model serving, and inference-team leadership.

Writer and software engineer whose AI work includes video-based documentation and an authenticated MCP server blueprint.

AI engineering at FactSet, from natural-language financial-data queries to reusable agent skills and the systems that govern them.

MIT robotics researcher studying how controllers, training environments and data collection interfaces shape what robots can learn.

Wondercraft cofounder whose work on AI audio emphasizes complete creator workflows, controllable speech and access to existing content.

Coauthor of TinyStories, phi-1 and phi-1.5, investigating how carefully designed training data can support smaller language models.

Warp’s founder and CEO has moved from redesigning the terminal to building infrastructure for coding agents, emphasizing context, verification and human control.

Machine-learning researcher whose collaborative work spans adversarial robustness, language-model security, and deep equilibrium architectures; Gray Swan cofounder and OpenAI board member.

In November 2025, Z.ai product strategist Zixuan Li managed coding subscriptions, overseas API services and partnerships, and discussed open models, release coordination and agent evaluation.