• 9 Posts
  • 23 Comments
Joined 1 year ago
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Cake day: June 5th, 2023

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  • No, that’s not what I said. You’re right that journals, to some extent, also lends credibility to the publication, but it’s not the source of credibility. What I said was that an article published in Nature will have many more views than an article published on a random WordPress blog.

    Again, saying that researchers “agree to have it that way” ignores the structural difficulty of changing the system by the individual. The ones who benefit the most from changing the system are also the ones most dependent on external funding - that is, young researchers. Publishing in low-impact journals (ones that has a small outreach such as most open-access journals) makes it much harder to apply for funding



  • There are several benefits, but compared to WordPress, I guess the biggest one is outreach: no one will actually see an article if it’s published by a young researcher that hasn’t made a name for themselves yet. It will also not be catalogued and will therefore be more difficult to find when searching for articles.

    Also, calling researchers “whipped” is a bit dismissive to the huge inertia there is in the realm of scientific publication. The scientific journal of Nature was founded in 1869, but general open-access publishing has only really taken off in the last decade or so.


  • You will transfer the economic copyright to most journals upon publication of the typeset manuscript meaning that you’re not allowed to publish that particular PDF anywhere. However, a lot of journals are okay with you publishing the pre-peer reviewed article or even sometimes the peer-reviewed, but NOT typeset article (sometimes called post-print article). Scientific publishing is weird :-)




  • Plenty. If you scroll down, there’s tens of research articles linked. You just have to click on the circles for most of the articles :-)

    Here’s an excerpt from the bottom of the article’:

    The most conclusive long-term study on sleep training to date is a 2012 randomized controlled trial on 326 infants, which found no difference on any measure—negative or positive—between children who were sleep trained and those who weren’t after a 5 year follow up. The study includes measurements of sleep patterns, behavior, cortisol levels, and, importantly, attachment.





  • I agree that it’s a shame that it’s so difficult to eliminate the placebo effect from psychoactive drugs. There’s probably alternative ways of teasing out the effect, if any, from MDMA therapy, but human studies take a long time and, consequently, costs a lot of money. I’d imagine the researchers would love to do the studies, but doesn’t have the resources for it

    I think the critique about conflicts of interest seems a bit misguided. It’s not the scientists who doesn’t want to move further with this. It’s the FDA










  • From the article:

    To demonstrate model collapse, the researchers took a pre-trained LLM and fine-tuned it by training it using a data set based on Wikipedia entries. They then asked the resulting model to generate its own Wikipedia-style articles. To train the next generation of the model, they started with the same pre-trained LLM, but fine-tuned it on the articles created by its predecessor. They judged the performance of each model by giving it an opening paragraph and asking it to predict the next few sentences, then comparing the output to that of the model trained on real data. The team expected to see errors crop up, says Shumaylov, but were surprised to see “things go wrong very quickly”, he says.