While clearly it is possible to change the internal representation of LLMs through further training, this kind of active and intentional representational revision has no clear analog in LLMs today.

So, what are some examples as to how an LLM can fail outside of this study?

I’m having trouble seeing how this will affect my everyday uses of LLMs for coding, best-effort summarization, planning, problem solving, automation, and data analysis.