The wiki

CloudChef co-founder whose work combines cooking-state perception, demonstration learning, and robotics for commercial kitchens.

Research and engineering leader behind Segment Anything, with contributions spanning interactive video segmentation and tools for 3D deep learning.

OpenAI API product lead working on the tools and performance needed to build AI agents.

AI developer advocate and builder whose work spans agentic software generation, retrieval, tool selection, and experimental research on learning.

Nathaniel Whittemore, known as NLW, combines daily AI analysis with practical education focused on how people use the technology at work.

Open models, local inference, LoRA, and Mojo reshape the question of where lasting engineering advantages come from.

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

AI engineering educator and builder associated with Latent Space University, whose writing examines how coding agents change software evaluation and delivery.

Economics writer behind Noahpinion, known for qualified optimism about AI and human work.

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

An OpenAI reasoning researcher and co-creator of poker and Diplomacy AIs, Brown studies learning, search, and strategic interaction.

Transformer coauthor and Character.AI cofounder whose work spans language modeling, sparse model capacity and the costs of training and serving AI.

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

From human tumor datasets to spatial transformers: how Noetik aims to turn patient biology into better-defined clinical trials.

Sourcegraph combines search, code graphs and language models to supply useful context—and treats reliable individual changes as the foundation for greater automation.

How Hex Magic embeds AI in analytical work: small, reviewable tasks, warehouse-aware retrieval, and evaluations that turn recurring failures into engineering improvements.

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.

Background work requires understandable permissions, dependable tools, useful evaluations, and context that extends beyond a chat.

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.

AI product manager whose work spans production inference, synthetic training data and embodied conversational characters.

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

AI researcher and coauthor of SWE-bench, SWE-agent and ProgramBench, with earlier contributions to language-model embeddings and prompting.

MiniMax described Song as its research lead in RL in July 2026; her 2025–26 accounts explain work on agent generalization, evaluation, and collaboration with expert developers.

Andreessen Horowitz partner focused on AI, whose investing and writing examine AI applications and the relationship between automated execution and human judgment.

OpenAI researcher working on frontier capability evaluation, cybersecurity risks, and agents that learn from human communication.

OpenAI product leader known for explaining the design choices behind realtime audio, automated caching, and developer evaluation workflows.

Braintrust staff engineer whose work at Zapier connected AI product decisions to evaluations, tracing, and model-specific debugging.

Developer Experience lead at Google DeepMind whose work spans open-model launches, developer guidance, and Hugging Face community tools.