Artificial intelligence’s rapid development and high input costs are accelerating collaboration among AI firms through research consortia, compute-pooling arrangements, cloud–model partnerships, safety initiatives, platform governance, and standards-setting. These types of collaborations can promote competition and generate substantial efficiencies—enabling access to data, specialized talent, and scarce computing resources; reducing duplication; and improving security and interoperability.
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