@david_chisnall @eniko this tradeoff is why I think the best use in the near future for LLMs will turn out to be voice controls a la "star trek: the next generation".
The captain can ask for simple, commonplace high level commands and be confident the computer will do it mostly correctly. And that's a huge time saver. But for anything that requires any amount of precision, or technical knowledge, you better believe he's asking Geordi La Forge (or maybe a real AGI like Data).
@varx @eniko
It often isn't faster. I can't find it, but about 20 years ago I read a paper that did exactly that experiment. They set up voice controls that were really just a person doing the thing for you. They had one group do the tasks using conventional GUIs and the other do the command via the voice command. They subtracted out the time the assistant spent working in the second case. It was still both slower and more error-prone for most tasks. The outliers were very simple things.
Watch any Star Trek episode where someone talks to the computer and listen carefully to what they ask. Aside from Captain 'I don't know how to configure my replicator presets' Picard asking for 'Tea, Earl Grey, Hot', pretty much everything is so ambiguous that it works only because there's a script writer and not a computer deciding what Majel Barrett says.
@varx @eniko
It often isn't faster. I can't find it, but about 20 years ago I read a paper that did exactly that experiment. They set up voice controls that were really just a person doing the thing for you. They had one group do the tasks using conventional GUIs and the other do the command via the voice command. They subtracted out the time the assistant spent working in the second case. It was still both slower and more error-prone for most tasks. The outliers were very simple things.