Knowing this it seems like a very low quality study. They should probably redo this with multiple conditions.
- Base Llama 3
- Tuned Llama 3
- Untrained human summarizer
- trained/professional human summarizer
Knowing this it seems like a very low quality study. They should probably redo this with multiple conditions.
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.
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
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.
In what world is it acceptable military doctrine to kill the entire family of enemy combatants? If that was the case with Israeli soldiers you’d be able to extrapolate a justifiable strike to include almost the entire population as almost all citizens have done military service. Take a minute to actually soak in what you just said.