Artificial Intelligence: Current capabilities

Google announced an expansion of Translate by 110 languages using AI, including its PaLM 2 model. This is a documented example of model research reaching a public application. It is not a claim about today’s total language count, equal quality across languages or suitability for high-stakes translation without expert review.

Structure-prediction resources help researchers form hypotheses and choose follow-up investigations. Their practical impact comes from fitting models into a wider experimental workflow. Useful assistance and autonomous scientific discovery are different claims; evidence for one should not be presented as evidence for the other.

NIST provides a voluntary framework for identifying and managing AI risks. An established framework does not certify a model or guarantee safe behavior. A system still needs task-specific evaluation, monitoring and clear responsibility for decisions that affect people.