Core Automation Information

We're building the world's most automated AI lab. Our objective is to build systems that optimize and automate work, starting with research itself. We don't think the next step change in AI will come from scaling the current recipe: larger models, more data, static deployment. We're pursuing new learning algorithms that supersede large-scale pretraining and reinforcement learning, and architectures that scale better than transformers. — We think the next wave of frontier research will come from small teams with highly capable agents. We're building the lab around that bet from day one. We start by automating our own work. That makes room for more ambitious and creative work, which reveals the next thing to automate. What we learn feeds back into the research. — If we're right, small teams with powerful AI systems will take on work that once required entire organizations. Much of the current conversation around AI assumes it will mostly help existing institutions operate more efficiently. We're excited by the larger shift: a world where far more people can pursue ambitious work without first building an organization or raising capital. A corner store with the logistical capabilities of a multinational corporation. A small workshop with demand from around the world. A project that starts in a group chat and grows far beyond its origins. We're building the research, systems, and operating model to make this possible for more people. — Our team brings together people who have helped build frontier models, state-of-the-art optimization methods, influential architectures, multimodal agents, and the low-level systems those advances depend on. We're building a small lab with the range to rethink neural network architecture from scratch – the kind of bet that gets harder to make the more you have to scale – and the systems engineering depth to prove it out.