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The examples in TFA don't really seem suitable for code, unless that code is a wrapper for calling LLMs.

"Health & Wellness: quickly calculating protein macros for any recipe

Shopping: generating side-by-side spec comparisons across multiple tabs

Productivity: scanning lengthy documents for important information"



> unless that code is a wrapper for calling LLMs

Yeah, if the LLM is used for natural language translation into hard data, and not extrapolation, to me it's a very valid (and predictable) tool.

In the first case especially, i trust the LLM to translate your "flour t80 16oz" into usable data to query (without LLM) a caloric/nutrition table or something. I don't trust it to do the extrapolation correctly more than 80% of the time.

For the shopping, i would never trust a company LLM, sorry, google/amazon lied to me way to much to ever trust them.

For the third one, yeah, why not.




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