Core Automation
Our objective: 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 whe