Workshop Labs is an AI research company with a mission to make people irreplaceable.
Workshop Labs is Joining Thinking Machines
We founded Workshop Labs to make people irreplaceable. Today, we're excited to announce that Workshop Labs is joining Thinking Machines to advance that mission.
AI agents team up in Agent Laboratory to speed scientific research
Johns Hopkins University and AMD have developed Agent Laboratory, a new open-source framework that pairs human creativity with AI-powered workflows.
Workshops — Guiding Threads Collective
Our skill-building workshops help participants build their toolkit around key organizational development areas, including growing leadership skills, developing generative conflict practices, and making collaborative decisions.
Protocol Labs
Protocol Labs is an innovation network driving breakthroughs in computing to push humanity forward.
Notes from inside China's AI labs
Lessons from my trip to talk to most of the leading AI labs in China.
How building software is changing at Anthropic
A deepdive on what’s changed in how the leading AI lab makes software. Ever more code review and testing is done by AI, two-pizza teams very much alive, and more. Details from inside of Anthropic
The Applied Machine Learning Collective of the Rockies
We're building a hands-on, community-led space where AI/ML practitioners actually grow together. A modern guild where newcomers learn from journeymen, journeymen sharpen their skills alongside experts, and everyone works on real problems that matter.
A Research Lab for Open Source ✸ Software Stewardship Lab
Today, we're launching a world-class research lab dedicated to Open Source sustainability with a team of some of the most experienced people in the world.
The Year of the Software Factory
We are building LifeBuild, a personal operating system for your life where AI agents help you draft projects, prioritize your commitments, and stay on top of what matters—from health to relationships to finances and beyond. This Lab Notebook chronicles our explorations.
modular research multi-agent slack-like environment demo
a demo of a slack-like workspace with multiple collaborating agents with access to a lab discourse graph and modular science and open social infrastructure.
Agentic Laboratories of the Future: Towards World Models for Scientific Discovery
Scientific discovery is fundamentally a problem-solving process involving distributed intelligence. Human intuition, computational reasoning, and experimental execution are distributed across people, instruments, and software systems, limiting the speed and scale of discovery. Although automation, high-throughput experimentation, foundation models, and cloud infrastructure have accelerated individual stages of the scientific workflow, they have not unified the discovery process. We hypothesize that the next generation of laboratories will be agentic: environments in which scientists, AI systems, and robotic platforms operate as collaborative discovery partners, with humans contributing the parts of discovery that remain hardest to make explicit: asking the right questions and holding provisional mechanistic models of how a system works. The key missing layer is an agentic harnessing layer that continuously integrates hypothesis, literature-derived evidence, experimental data, uncertainty, and experimental state into a shared “laboratory world model”—a dynamic representation of the scientific system and its evolving context. By maintaining and updating this lab world model, the agentic harnessing layer enables coordinated decision-making, adaptive planning, and increasingly autonomous scientific workflows across humans and machines. A central challenge is that much of the scientific research process remains inaccessible to machines, including tacit knowledge, human observations, adaptive decision-making, and evolving experimental context. Advances in multimodal AI and immersive interfaces may help bridge this gap, allowing humans, agents, and robotic systems to collaborate seamlessly in scientific discovery rather than simply automating isolated tasks. Agentic laboratories could provide a new architecture for science, integrating human, artificial, and physical intelligence into a unified discovery system.
Google Workspace Developer Summit 2024 - Sessions
The AI Researcher Who Just Quit Anthropic Says It’s ‘Crunch Time for Humanity’
Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.
Using X-Labs to Unleash AI-Driven Scientific Breakthroughs | IFP
How to adapt our science funding mechanisms to the unique infrastructure needs of large-scale AI projects
