The wiki

Engineer working on clinical decision support at Abridge, with earlier experience in enterprise search at Glean and robotics and AI research at Vicarious AI.

An AI molecular-design company whose work progressed from structure prediction to generative antibody design and pharmaceutical platform partnerships.

Designing an antibody means specifying where it should bind, what it should avoid, and how it should behave. Chai’s models and visual tools aim to make that process programmable, while experiments remain the test.

A consumer AI company connecting user-created characters with engagement research, crowdsourced model evaluation, and custom inference infrastructure.

From unwanted utility bots to social AI: how Chai lets users shape the experience, evaluates models in hours, and spends inference compute on selecting better replies.

Letta co-founder and AI researcher whose collaborative work includes MemGPT’s memory management and sleep-time compute.

AI researcher whose collaborative work examines how language models use computation, acquire capabilities, and learn to complete user-specified tasks.

How community comparisons became a model benchmark—and what style, voter expertise, private testing and inference cost mean for its scores.

Shared tools, persistent files and inspectable outputs extend Codex beyond software development. Making that useful requires helping people discover tasks, preserve context and distinguish activity from progress.

A launch-day discussion moves from video editing and plugin distribution to personal assistants, context limits and the permissions models need to act.

Stanford professor and Physical Intelligence cofounder working on robot learning, fast adaptation, and reliable general-purpose robots.

Writer and computer scientist focused on bringing AI into production, from machine learning systems design to foundation-model applications and agent evaluation.

Compiler and language engineer whose work on MLIR, TensorFlow infrastructure, and Modular connects AI programming with heterogeneous hardware.

Stanford NLP researcher whose work spans statistical language processing, neural models, preference optimization, and action-conditioned world models.

Stanford computer scientist whose collaborative work spans weak supervision, memory-efficient attention and GPU kernels, with recent arguments about how AI agents change systems programming.

AI researcher whose collaborative work spans adversarial examples, Inception and Batch Normalization, and whose later research advocates machine-verifiable reasoning.

OpenAI Platform Experience contributor who demonstrated AgentKit and explained its customer-informed approach to building, evaluating and deploying AI agents in 2025.

Xaira Therapeutics’ Chief Discovery Officer leads the experimental biology and data generation behind its AI-driven discovery work.

AI can organize research without knowing what matters. Part 1 follows Doug O’Laughlin’s path into semiconductors, then explores coding agents for financial analysis, evaluation rubrics, context management and shared research infrastructure.

AI researcher whose work at Hugging Face spans reproducible model evaluation, assistant benchmarks, and practical guidance on what benchmark results mean.

The company behind an open-source coding agent that grew from a VS Code extension into a shared runtime for editor, terminal and desktop workflows.

How planning, visible execution, direct model access, and persistent task state shape an open-source coding agent.

An AI cooking company whose software-guided Palo Alto kitchen preceded its Zippy kitchen robotics platform.

CloudChef combines cooking-state perception, reusable robot skills and structured recipes to automate commercial kitchen work. Its single-demonstration promise depends on skills the robot already has.

Carnegie Mellon University’s AI work spans robotics, machine learning compilation, agent coordination and dedicated undergraduate education.

Part 2 of 3 follows practitioners discovering useful capabilities, testing the limits of an isolated workspace, and explaining why code that runs and revises itself changes what they choose to build.

Part 3 of 3 examines missing charts in shared sessions, requests for local code execution, and a central tension in business analysis: how do you choose an upload before you know what data you need?

Part 1 follows the early beta from uploaded databases and iterative debugging to sandbox limits, interactive exports, and the distinction between files a program can execute and information a model has read.

An AI coding company that evolved from GPU-serving infrastructure into editor extensions and the Windsurf IDE, whose product lineage continued at Cognition as Devin Desktop.

The AI coding company that evolved from GPU infrastructure into cross-IDE assistants, Windsurf’s agentic editor, and the foundation for Devin Desktop.