Hi, Organizational Psychologist here who works in a lab alongside my personality Psych research supervisor. I have never heard of this method, never read this in any of the literature, and am genuinely disgusted anyone got ethics approval to run this study. The only way we use ML to evaluate personality is using natural language due to the tenants of the lexical hypothesis. I have never seen anyone attempt to create a big five measure from facial recognition nor have I ever heard of any theoretical models for personality based on faces…except for phrenology

Its not their content (unless they make originals I dont know) they are just distributing Japanese content

That’s great honey, by the way did you remember to take your medication this morning?

Link errors out when I try to open it

Depends on the context, there is a lot of work in the scientific methods community trying to use NLP to augment traditionally fully human processes such as thematic analysis and systematic literature reviews and you can have protocols for validation there without 100% human review

It’s about Agents, which implies multi step as those are meant to execute a series of tasks opposed to studies looking at base LLM model performance.

Me who just went back for their PhD

You’re clearly in need of therapy and a proper support network, I hope you get the help you need before it’s too late

What did drag do?

Because relatedness is a fundamental psychological need and sustained meaningful relationships are the best way to achieve that

Why would socialist halt development?

“born too late to die in war, born too early to die in war, born just in time to die at my desk”

Yeah I agree this isn’t even a meme at all, I get Lemmy is a very political group of people but it’s honestly absurd how people post things everywhere without consideration of the theme

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.

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.