Hacker Newsnew | past | comments | ask | show | jobs | submit | mnode's commentslogin

Base rates going up isn't fully understood but a large part is likely just changes to diagnosis. There's a recent summary of research evidence here: https://www.nature.com/articles/d41586-025-02636-1


A small number of readily measured physiological traits may be used clinically to evaluate therapeutics designed to slow aging and extend healthy life. Playing computer games associates with slower ageing.


I use Elfeed within Emacs to browse feeds from https://hnrss.github.io/. I have it fine tuned to be reasonably selective.



Speedball 2: Brutal Deluxe (1991, Amiga version). Awesome, future sports sim.


I tried this with a question for an area I know well. It's pretty impressive but missed some key references.

I'd love to see limitations like this quantified and clearly flagged. Otherwise there's a danger that people may the assume results are definitive, and this could have the opposite outcome to that intended (much time spent working on something only to disocver it's been done already).


Yes, this is one of the most important aspects of the tool; in cases where you care about getting everything, make sure to take a look at the estimated percent of papers found at the bottom of the summary section. That gives you a sense of how complete the set of references likely are. We've tuned it to get around half of the total papers for the "median" user query on a first pass. If users desire, they can "extend" the search to have Undermind look for more papers. Additional caveat to remember with the current system is that it only accesses abstracts, so if you'd need to look in the full text to know a work is relevant, we wouldn't be able to catch it.


Thanks for clarifying. I didn't appreciate that it only searches abstracts. That might explain some of the missing references. Anyway, great work, will look forward to using it more.


Yep, will add in full texts as we can in the future. Let me know if the percent of papers found as an indication of an exhaustiveness measure was clear? Reach out to us at support@undermind.ai if you'd be willing to provide more feedback on your experience.


Yes, that is overly cyncial. The last 10 years or so has seen big leaps in our understanding of the fundamentals of sleep mechanisms. I think there's a long way to go, but we know enough that genuinely science-based advice can help a lot of people.


This is great! Thanks for sharing.


In this case perverse incentives. Check out 'How not to study a disease: the story of Alzheimer’s' (by Karl Herrup) for a perspective on why this is not at all surprising.

That being said, I think it would be unfair to tarnish all of science with this brush though. There are many fields that don't suffer these problems nearly as much.


I agree, brilliant book.


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: