The Sable Institute is a private research organization focused on large-scale language model development, emergent capability analysis, and AI safety evaluation.
Founded in 2019, the Sable Institute operates at the intersection of capability research and safety engineering. Our teams develop novel architectures for large-scale language models while maintaining rigorous safety evaluation protocols at every stage of development.
We believe that the responsible advancement of machine intelligence requires both ambition and discipline. Every training run is monitored. Every output is evaluated. Every anomaly is investigated.
Our work is funded through a combination of private partnerships, government research grants, and institutional endowment. We do not release commercial products. Our contributions to the field are published through peer-reviewed channels when cleared for public dissemination.
Studying and characterizing unexpected behaviors that arise in large-scale training runs. Understanding what models learn beyond their explicit objectives.
Developing robust frameworks for evaluating model outputs against safety parameters. Containment protocols for autonomous systems exhibiting anomalous behavior.
Investigating how models synthesize information across heterogeneous training corpora. Cross-domain pattern recognition at scale.
We are selectively hiring across several research and engineering roles.
For general inquiries, research collaboration proposals, or career questions.
Email: contact@sable-institute.org