

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.
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.
A recent example is Owlcat’s Rouge Trader. Full game on release, season pass is just a bundle of their two big expansion DLCs which offer full story additions and party members. Season passes work when they are lower cost bundles of high quality DLC, they are awful when they are incoherent slapped together offerings of cosmetics, random content, and stuff which should be base game.