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This article is based on wild speculations of how much things cost, and doesn’t account for ways to make things cheaper over time. We already have papers that s

This article is based on wild speculations of how much things cost, and doesn’t account for ways to make things cheaper over time. We already have papers that suggest most big models are undertrained and smaller models can get the same accuracy. Google should easily spend the $33B if it keeps them on top while finding ways to make things cheaper, more accurate, smarter.

dylan522p 4y ago
> This article is based on wild speculations of how much things cost Huh it literally uses real throughput figures > doesn’t account for ways to make things cheaper over time It does in the subscriber section and it says it does say that in the free section. > We already have papers that suggest most big models are undertrained and smaller models can get the same accuracy. Why assume 2023 model is the same as 2020 GPT-3 175B parameter