For generations, humanity has read the sky through the language of physics — equations rendered by supercomputers into tomorrow's weather. Now, a second language has emerged: artificial intelligence trained on the deep memory of past storms and seasons, learning to anticipate what the atmosphere will do without being told why it does it. Meteorological agencies and technology companies worldwide are investing in this new fluency, not to replace the old science, but because the forecasts it produces are proving accurate enough to matter — to farmers, to pilots, to those who must decide when to