The AI hype machine
Today, Explained
Exploring AI Progress and Energy Use in Tech Companies
AI progress is comparable to training an intern - there is potential for improvement but major barriers exist. The significant obstacle is energy use as AI requires massive cloud computing resources and energy-intensive data centers. Training a single large language model can consume electricity equivalent to powering 120 homes for a year. Tech companies are facing limitations in expanding data centers due to energy constraints. The solution proposed for the energy challenge is nuclear fusion.
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