For a real world example of the challenges of harnessing LLMs, look at Apple. Over a year ago they had a big product launch focused on "Apple Intelligence" that was supposed to make heavy use of LLMs for agentic workflows. But all we've really gotten since then are a couple of minor tools for making emojis, summarizing notifications, and proof reading. And they even had to roll back the notification summaries for a while for being wildly "out of control". [1] And in this year's iPhone launch the AI marketing was toned down significantly.
I think Apple execs genuinely underestimated how difficult it would be to get LLMs to perform up to Apple's typical standards of polish and control.
I think Apple execs genuinely underestimated how difficult it would be to get LLMs to perform up to Apple's typical standards of polish and control.
[1] https://www.bbc.com/news/articles/cge93de21n0o