These aren't marketing copy. They're the criteria we evaluate ourselves against — and the criteria we're willing to be held to.
Every model we ship runs a battery of safety evaluations covering misuse, bias, and adversarial robustness. If it fails, it doesn't ship.
We invest in alignment research — not because it's fashionable, but because we think it's the central problem of the decade.
We tell customers what our systems can and can't do, and we publish model cards explaining trade-offs in plain language.
Customer data does not train our models without explicit, opt-in consent. Inference happens with the smallest necessary footprint.
We engage independent reviewers, work openly with policymakers, and welcome scrutiny — including the uncomfortable kind.
We weigh deployment decisions against second-order effects on labor, information ecosystems, and concentration of power.