alt Hacker NewsThe 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.