Organizations

Modular connects Mojo programming, MAX compilation and model serving in an AI infrastructure stack built to span different processors.

A social network for AI agents that grew through OpenClaw skills and recurring heartbeat instructions, faced an early database exposure, and became a setting for external research on agent interaction.

The Beijing company behind Kimi develops models, long-context serving infrastructure and agents for coding and knowledge work.

MosaicML built tools and infrastructure for training custom AI models, released the MPT transformer family, and joined Databricks in July 2023.

Sarah Guo and Elad Gil’s AI podcast connects technical developments with business, startup and societal questions.

Noah Smith’s subscription publication covers economics, technology and geopolitics, including AI’s effects on work and the economics of autonomous drones.

A biotechnology company building spatial-biology foundation models for cancer drug discovery and treatment-response research.

A collaborative workspace whose pages and databases became the building blocks for writing assistance, knowledge retrieval, and autonomous AI workflows.

Notion’s AI product and engineering effort evolved from an embedded writing assistant into agents that search company knowledge and carry out team workflows.

An open-source AI organization whose work spans Hermes language models and agents, context extension, and distributed model training.

From PC graphics to AI infrastructure, NVIDIA builds processors, programming tools, libraries and networking into coordinated computing systems.

An AI infrastructure company that grew from Apache TVM model optimization into managed generative AI compute, became OctoAI, and was acquired by NVIDIA.

The organization behind ChatGPT, the OpenAI API, and Codex has evolved from nonprofit research into large-scale model development, commercial deployment, and agent platforms.

OpenAI’s developer-relations function connects developers with API updates, model releases and practical education about building with AI.

An internal OpenAI research team whose collaborations include SWE-bench Verified and GDPval, with work spanning coding capabilities, professional tasks, and research automation.

Collaborating OpenAI teams behind SWE-bench Verified and GDPval, combining expert human review with evaluations of coding and economically valuable work.

Peter Steinberger’s personal AI agent project grew from a messaging relay into an open platform, with a nonprofit foundation, paid maintainers, and a security-focused ecosystem.

A developer platform that evolved from fine-tuning smaller language models to reinforcement learning for agents, acquired by CoreWeave in 2025.

OpenRouter combines a common API for AI models with routing, failover, billing and enterprise controls. Its platform separates choosing a model from choosing the provider that serves it.

Materials discovery company combining AI, simulation and physical experiments.

An AI search company that evolved from answering programmers’ questions to generating interactive answers and custom mini-apps.

An application-security company combining AI agents and deterministic code transformations to triage scanner findings and deliver fixes through developer workflows.

An AI foundation-model company built around coding, execution feedback and an integrated Model Factory, with a consequential NVIDIA licensing deal reported in August 2026.

A foundation-model company pursuing software intelligence through code execution feedback, an integrated Model Factory, and the Laguna family of agentic models.

An AI gateway company that expanded from LLM operations into governance and agent infrastructure, acquired by Palo Alto Networks in May 2026.

An AI podcast hosted by Daniel Whitenack and Chris Benson, launched with Changelog in 2018 to make AI practical, productive, and accessible.

Prime Intellect builds open models and infrastructure for improving them, spanning distributed compute, reinforcement learning, executable environments, and agent tooling.

Princeton University's AI work spans software-engineering benchmarks, deep reinforcement learning, agent reliability, and an expanding institutional structure for AI and data science.

An open-source AI evaluation and security company that expanded from application testing into model-file scanning and agreed to be acquired by OpenAI in March 2026.

The organization behind Python’s Pydantic validation library expanded into AI agents, observability, evaluation and controlled execution of agent-written code.