These companies are spending billions, but if a cheaper model does what most people need, why would people keep paying extra for a slightly better one? If competitors can use your models answers to train their own through distillation, and Chinese companies can buy training data from American vendors cheaply enough to help close the gap, how much of a lasting lead are those billions buying? The large spending is betting on profits later, but competition could easily keep pushing prices down. What keeps the cheaper models from eating away at the profits all this spending is betting on? submitted by /u/budputnal
Originally posted by u/budputnal on r/ArtificialInteligence
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