There's no "about" page or anything I can find that describes what this website is or does. The domain suggests it's AI-generated summaries of papers, maybe? If so, it would be great to understand how it works and why. How are papers selected for inclusion? How are summaries checked for accuracy?
Good point, thx! An "About" page answering your questions could be helpful.
In short, my goal is to read and understand current science papers without needing deep knowledge of the specific jargon.
Papers are chosen based on their Creative Commons license, allowing modifications. Accuracy isn't verified, but a disclaimer notes that these are AI summaries and recommends checking the original source for accuracy.
The idea is good, but the real difficulty is that recent publications do not yet represent established knowledge but are rather part of an ongoing scientific discussion. Now without being part of the respective community it is therefore very difficult to correctly judge the publications.
If you look at semantic scholar, they're trying to classify publications as "influential" or "background", based on how often they're cited.
Hm, i get your point. My take on this is the following:
Every established knowledge started of as cutting edge. Some took way longer to be accepted and respected. Sometimes decades. So I like that cutting edge science and ideas are put out there. Only time will tell what ideas are really good.
This might be an overly pedantic nitpick - and it might just be me - but I found the phrase "the newest science" very confusing at first. It sounded like it was referring to the latest "thing" which has come to be called a science, e.g. "the science of sleep". Perhaps something like "Cutting edge science explained simply" ?
I use OpenAI GPT-4o mini and have automated everything since for this amount of articles it would be overwhelming to do it manually. AND i wanted the translations so imagine every article is present in 6 languages. That has to be automated.
Interesting idea, but I am hesitant to rely on AI to summarize cutting edge / highly specific research papers correctly for me, especially if I'm not a subject matter expert in that field and I can verify some of the information myself.
That’s kinda also the case for every summary you’re reading - or news article. In theory you can never be sure that the author understood everything from the paper and summarised it correctly.
The idea is great, and accessible explanations of cutting edge science research is definitely something the society can benefit from. Especially to combat clickbait-y publications of some journalists who transform scientific papers into basically false claims.
But to be honest, AI-based summaries seem like a dangerous way of handling these. The danger is that the summaries, for the most part, would probably be accurate enough and well "written" so that the reader would feel confident trusting it, but it's possible for AI to come up with a completely misleading or false claim, and it'll be well hidden in the "good" content of the summary.
And then it'll take humans to check and re-check the text anyway, which feels very similar to how AI is used in software development: at some point it's counter-productive because you have to check the generated solution instead of generating it yourself.
See original source at the bottom of each article:
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
There's no "about" page or anything I can find that describes what this website is or does. The domain suggests it's AI-generated summaries of papers, maybe? If so, it would be great to understand how it works and why. How are papers selected for inclusion? How are summaries checked for accuracy?