Artificial Intelligence: Future possibilities

Near-term progress may come from better tools for checking predictions and integrating them into existing research workflows. Benefits depend on experimental validation and the cost of correcting errors; a more capable model alone does not guarantee a better scientific outcome.

Systems that transfer useful skills between very different environments remain a long-term possibility. Whether, when or how broadly this can be achieved is uncertain. The original Dartmouth ambitions are a historical research agenda, not a timetable for general intelligence.