Training systems
Efficient pretraining
How can an independent lab extract more learning from every token and unit of compute?
Research
Our teams study training efficiency, reliable reasoning, and model safety so future open systems arrive with evidence.
Training systems
How can an independent lab extract more learning from every token and unit of compute?
Alignment science
When does a model reason faithfully, recognize uncertainty, and correct its own mistakes?
Model safety
Which capability and risk evaluations are necessary before an open release can be justified?
Our standard
Methods / Failures / Limits / Evidence