If you make enough mistakes, speed is a detriment not a benefit. Increasing speed allows you to produce more summaries but if you still need to correct and edit them all you've done is add a step where a human has to still read the document to the level where they could summarize it and edit the AI summary. Therefore the bottleneck of a human reading the document and working on a summary is still there. It would only potentially make it slightly easier if the corrections needed are small and obvious.
loonsun
joined 1 year ago
Lemmy is less popular and therefore more niche, meaning you'll get smaller communities with stronger opinions, and therefore way more political extremism
Also grit is an over hyped and under delivered construct of human cognition that really is only spoken of seriously nowadays by people trying to sell you something
Why do you think she was at his house?
Well it can be great at making text too, but the usecase has to be very good. Right now lots of companies in the B2B space are using LLMs as a middle layer to chat bots and navigation systems to enhance how they function. They are also being used to create unique lists and inputs for certain systems. However on the consumer side the usecase is pretty mixed with a lot of big companies just muddying their offerings instead of bringing any real value.
Knowing this it seems like a very low quality study. They should probably redo this with multiple conditions.