In the years since ChatGPT’s debut, the world of artificial intelligence development has been defined by a single obsession: scale. Companies have raced to build ever-larger models, train on datasets of unimaginable size, and spend billions on the infrastructure required to sustain this rapid growth. The logic has been simple: bigger is better.
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