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Comment by toddmorey | Hacker News Reader

  "I believe apps like this, which use AI to enhance or scale functionality rather than simply acting as a wrapper over APIs, will be the major beneficiaries as LLMs improve."

Can you elaborate a bit more? Are you training your own model? Or do you mean this is a task that uniquely needs AI to solve and couldn't be accomplished with traditional APIs?

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Some apps rely upon ongoing LLM API calls for their core functionality. Some require a lot of human editorial work up front. i.e. either high variable cost or high fixed cost economics.

This app lies in a sweet spot where no ongoing API calls are required, everything is pre-calculated (at moderate expense!), but LLMs can scale some of the more 'human' work like explaining translations or checking accuracy. Albeit with the quirks and inconsistencies inherent with the current generation of models.

I think they were differentiating themselves from their competitors by hinting that they put more work into this than just coming up with a UI and prompt for gpt4.

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