A machine learning-based weather prediction program developed by DeepMind researchers called "GraphCast" can predict weather variables over the span of 10 days, in under one minute. In a report, scientists highlight that GraphCast has outperformed traditional weather pattern prediction technologies at a 90% verification rate. The AI-powered weather prediction program works by taking in "the two most recent states of Earth's weather," which includes the variables from the time of the test and six hours prior. Using that data, GraphCast can predict what the state of the weather will be in six hours. In practice, AI has already showcased its applicability in the real world.

The most crucial facet of Artificial Intelligence (AI) is developing the technology without turning a blind eye to its consequences. AI is ultimately built by human beings, and humans can have very diverse motives for why they create something. Unfortunately, today there is a massive gap between people making these systems and those impacted by these systems. The changes that AI will bring to the jobs done by humans will have marked consequences on societies, economies and labour markets. For example, robotics has enabled us to do work that was too dangerous or impossible for humans or that is done more effectively by a machine.

Machine intelligence is a prediction technology. Technological revolutions tend to involve activity that becomes cheap like the cost of communication or finding information. Finding information means more search. More search means more data. Machine intelligence will lower the cost of goods and services.