The cost of training cutting-edge AI models is escalating significantly, potentially reaching billions of dollars in the future. The main challenges lie in the high costs associated with building and powering large GPU clusters, making it difficult for many companies to afford. The proprietary research labs are likely to maintain their position in advancing frontier AI due to their abundance of resources. The industry is exploring innovative and efficient ways to train and serve models to address the cost barrier, with the possibility of meta and government interventions playing a role in the future.

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