Not a day goes by without reports of a new achievement, investment or national plan powered by artificial intelligence. AI is embedded in many of the apps and the software we use, and it is making functions such as voice interaction a reality. Yet the adoption of AI itself is largely absent from most of the organisations with which we directly interact or work. While applications that were just a dream only a few years ago are now widespread, their development is still restricted to a handful of savvy companies. For instance, Meta (formerly Facebook) is building the world’s largest supercomputer. The company has said its power was needed not to run the metaverse but to train AI models “that can learn from trillions of examples; work across hundreds of different languages; seamlessly analyse text, images, and video together . . . and much more”. The number of days or months it takes to train an AI model can determine the extent of innovation and competitiveness. For a company such as Meta, shortening development time to enable quicker experimentation is essential to compete.
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