Copywriting, translating, conversing, semantic search, data labelling, text summarisation, and code generation are all established uses of LLMs that are being commercialised. 

I am interested in whether large language models (LLMs) 

— which are also referred to as foundation models —

 will have their capabilities extended beyond the natural language domain, in a reliable and commercially sustainable way. Will I believe this has happened by the end of 2023?

This resolves positively if the nature of its use is extended by being given an interface with other software, but 

there has to be evidence of it being used (sustainably) for real commercial applications

. A simple demonstration will not suffice, nor does it count if its usage is for experimental/R&D purposes (as opposed to direct commercial ones).

If there is software that can design architectural models, or perform accounting tasks, and is fundamentally based on an LLM — that counts. The LLM cannot just be an added feature that does some natural language tasks on the side, it must actually drive the software's core functionality.

A lot rests on what I consider to be "notably different" in nature, but if you give me examples of new capabilities, I'll let you know what I think. Since this is a subjective market, I will not bet in it.

Will I believe that the nature of commercial LLM usage is notably different by the end of 2023?

 → Will non-experimental, LLM-based commercial software have new, reliable, non-language capabilities by the end of 2023?

Will non-experimental, LLM-based commercial software have new, reliable, non-language capabilities by the end of 2023?

 → Will LLMs' non-language capabilities be used commercially the end of 2023?

Will LLMs' non-language capabilities be used commercially the end of 2023?

 → Will LLMs' non-language capabilities be used commercially by the end of 2023?