I... am not sure. Computers are machines that create order (like db tables) from the chaos of reality. Now we have LLMs that make computers spit out chaos as well.

They don't have to though, we can still leverage LLMs to organize chaos, which is what I hope they ultimately end up doing.

For example an AI therapist is a nightmare, people putting the chaos of their mental state into a machine that spits dangerous chaos back out. An AI tool that parsed responses for hard data (i.e. rate 0-9 how happy was the person) and then returned that as ordered data (how happy was I each day for the last month) that an actual therapist and patient could review is the correct use of AI and could be highly trusted. The raw token output from LLMs should just be used for thinking steps that lead to a parseable hard data answer that can be high trust.

Of course that isn't going to happen, but I can see some extremely cool and high trust products being built using LLMs once we stop treating them like miracle machines.