Advances in artificial intelligence, particularly large language models (LLMs), have been driven by the "scaling law" paradigm: performance improves with more data, computation, and larger models.

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...