People

Developer and founder of Command Code whose AI work focuses on learning coding preferences and composing agents from infrastructure primitives.

Box’s CEO and cofounder has focused on enterprise AI agents, the information they need, and the permissions and organizational changes required to put them to work.

dbt Labs security leader whose AI governance work emphasizes enforceable constraints, recoverable mistakes, and informed human oversight.

Product manager who helped create Gemini Deep Research, with an emphasis on editable plans, visible sources and research grounded in users’ needs.

Research scientist and language-model architect who led MPT-7B training at MosaicML and DBRX development at Databricks.

Systems engineer who built Arrakis, microVM-based sandboxes for AI-agent computer use and code execution.

Heroku and Ink & Switch cofounder whose work spans AI interfaces, personalized email triage, local-first software, and portable application architecture.

Engineering leader working on Claude Code, publisher of workflows for AI coding agents, and advocate for human responsibility in automated development.

Osmantic’s founder and CEO advocates local, open AI built around usable tools, specialized models and control of compute.

Modal cofounder whose work spans AI infrastructure, agent execution environments, and human-in-the-loop data labeling.

Founder of marimo, a reactive Python programming environment, and contributor to machine-learning systems, optimization software, and vector embedding research.

OpenAI engineering leader whose work on ChatGPT Work brings coding-agent capabilities to knowledge workers, with an emphasis on shared capabilities, simpler interfaces and meaningful productivity.

Researcher and coauthor of DCGAN, GPT, GPT-2 and Whisper, with recent work on filtering learned capabilities and studying language models trained on historical text.

Kernel Labs founder whose AI work includes agent workflows, product commentary, open-source podcast tooling and earlier Latent Space interviews.

OpenRouter CEO and co-founder whose AI work includes model routing, browser-based model access and research on AI usage.

Software engineer publishing tools for AI-assisted code visualization, specification-driven development, and terminal coding.

Researcher working on training-data curation, open reasoning models, and generative methods for learning and reconstruction from incomplete measurements.

Cofounder of Good Start Labs and co-creator of AI Diplomacy, exploring games as environments for evaluating and training AI agents.

GitHub Copilot’s founding architect and Minion’s founder, whose work explores how AI can suggest code, operate browsers and ask users for missing information.

Systems researcher working on self-modifying AI agents, AI-driven discovery, and the limits of software verification.

Morning Brew co-founder and Tenex managing partner focused on AI adoption, content distribution, and outcome-based engineering compensation.

Black-hole theorist working on AI-assisted scientific reasoning, with contributions to photon-ring physics and black-hole visualization.

AgentOps co-founder focused on making AI agents observable, debuggable, and usable in production.

AI researcher who founded and led Meta’s ESM protein-modeling project, co-founded EvolutionaryScale, and became Biohub’s head of science.

AI evangelist, ThursdAI host, and Targum founder whose work includes weekly AI discussions, video translation, and an initiative to make MCP tools traceable.

MIT researcher studying GPU code generation and the design of language-model harnesses, including Recursive Language Models.

OpenAI’s Codex product lead in January and February 2026, whose work spans AI coding workflows and interfaces that make AI output easier to use, inspect, and correct.

Raindrop co-founder and chief operating officer focused on production agent failures, debugging workflows, and evaluation that reflects users’ experience.

Outset Capital cofounder and managing partner whose work spans AI-company operations, founder resources, and public conversations about AI.

Ali Taha works on model performance at Baseten, with technical writing on low-precision image inference, Blackwell GPU kernels, and the growing overlap between training and serving models.