My LinkedIn feed is actually mostly people outranged by it and they are mostly people who are very pro AI typically. A lot of people get frustrated at LinkedIn especially because they don’t provide anything to creators and make all their money off of them.

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

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.

Please go outside, I beg of you

Yeah that’s an unacceptably low ROC curve for a medical usecase

Didn’t know about that one, thanks!

The site Semantic Scholar and Perplexity AI do a good job of using ML to help with that but the problem with scientific publishing is fundamental to it’s business model which needs to be uprooted to make modern science feasible

You’ve clearly never lived in Montréal. We have had a massive decrease in private lots over the years, massive expansion of bike lanes, expansion of car share programs, and newly built train lines. Every year we are less and less dependent on cars and the city has only gotten better from things like this.

You haven’t been through border security?

Which is kind of what the point is. Start it without a habit, form a habit of playing that makes you want to do the action of exercise

Yeah I really find that 0 is now the definitive series entry. Everything kind of only works if you start with 0 and do Kiwami now. It’s also a much tighter and satisfying character progression for all involved.

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

https://www.apa.org/news/apa/2020/gritty-truth

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.