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"Conclusions: This meta-analysis confirmed that skipping breakfast is associated with overweight/obesity, and skipping breakfast increases the risk of overweight/obesity. The results of cohort studies and cross-sectional studies are consistent. There is no significant difference in these results among different ages, gender, regions, and economic conditions."

https://pubmed.ncbi.nlm.nih.gov/31918985/


It seems rather obvious that skipping breakfast is not causally related to obesity, rather it maybe correlates with other behaviors that are.


People seem to be misunderstanding this paper. It doesn't claim that any previous papers have overestimated contamination. That would only happen if scientists didn't routinely use blanks as a comparison, which they do. E.g. "A procedural filter blank was created during each sample batch and analysed alongside the samples, to enumerate potential contamination that could have been introduced during the extraction process."

https://eprints.soton.ac.uk/476076/1/1_s2.0_S014765132300286...


This is an overstatement of the protection that blanks provide. As it says, they only (potentially) provide insight into contamination caused during the extraction process.


Title needs to be changed. It completely misrepresents this research. There was no comparison between human written and AI written stories.


I played with this last night with my four-year old daughter. We had fun with asking Miles to explain what bones are made of etc.

Today, she asked "where has that robot guy gone?". Crying now because I won't let her talk to Miles anymore.

She has already developed an emotional connection to it. Worrying indeed.


I would like to think the child is missing the bonding and fun the two of you enjoyed with the robot guy. The child may be missing the experience of being with you and the robot guy. I would look for more activities you can explore with the child.


Honestly, I think if I wasn't there, she still would have loved it. She related to it like a person.


That sounds dangerous to me. Not like I think you did something wrong or exposed your daughter to danger at all; it was probably a really useful exercise. The scary part to me is how readily she accepted it as human, or friendly.

We already know how well people are deceived by text and images. Imagine if they're getting phone or video calls from "people" who keep them company for hours at a time. Imagine if they're accustomed to it from an early age. The notion of dealing with a real, messy, rough on the edges, honest human being well become an intractable frustration.


I can see how it's worrying, but mostly as a replacement for real connections - if instead it supplements them, then not so bad.

Most children love talking to a fun adult who enjoys talking to them. As parents we hope to be that adult for them most of the time, but of course that's not easy to do all the time.

If parents made a tool like this a crutch and it replaced quality time with them or they were less likely to hang out with their friends, then yeah that's a big problem. If they use it as a learning aide or occasional fun diversion, it seems great.


How are phones going as a "supplement" for real connections? 25% of university students (digital natives) on antidepressants?


Tangential, but... when my daughter was 8 or 9, we read _I, Robot_ together, and both both cried when Gloria's parents decided to separate her from Robbie, her robot companion. Such a fond memory to this day.


You should put a raspberry pi in a toy monkey and connect it up.


Written by someone who knows what they are talking about.


I've worked in data extraction from documents for a decade and have developed algorithms in the space. I've developed a product using LLMs for this purpose too.

This article is essentially correct.


thanks, glad to hear it.


I work in financial data and our customers would not accept 96% accuracy in the data points we supply. Maybe 99.96%.

For most use cases in financial services, accurate data is very important.


so, what solution are you using to extract data with 99.96% accuracy?


We hosted Ziming Liu at the London Machine Learning Meetup a few weeks ago. He gave a great talk on this fascinating work.

Here's the recording https://youtu.be/FYYZZVV5vlY?si=ReoygVJMgY9oje3p


Baptiste Roziere gave a great talk about Code Llama at our meetup recently: https://m.youtube.com/watch?v=_mhMi-7ONWQ

I highly recommend watching it.


Do you have any reference for this claim, or are you guessing? It was reported that the algorithm was a Gradient Boosting Machine by investigators who gained access to the code.

https://www.lighthousereports.com/suspicion-machines-methodo...


Well if you torture the analogy enough, you could argue a tree based model is a lot of if/else statements!


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