- I responded to your sibling post:
https://www.hackerneue.com/item?id=46395603
DKA is a common presenting symptom for new T1DM patients but that's definitely not the only time it occurs. And we also have HHS which can occur in T1DM and T2DM.
- I'll respond to the sibling poster with the same content—yes, DKA won't cause coma as quickly as insulin overdose but it can indeed come on acutely and it absolutely does kill people.
I'm a bit frustrated by the number of people on this page who are saying that high BG readings aren't an emergency; the timeline to death isn't weeks or months or 'next time I get to urgent care' but instead 'later today' or 'early tomorrow'.
DKA may be precipitated by infection (like the seasonal flu), and in that setting, worsened further by an unreliable CGM.
Here are some case reports that relate to this:
- https://sci-hub.box/10.2337/diacare.6.6.622b (note two patients who were 'intelligent' presented with DKA despite multiple normal readings)
- https://pubmed.ncbi.nlm.nih.gov/40811481/ (pregnant women can have DKA irrespective of blood glucose readings due to changes in normal range attributable to pregnancy)
You can read many more of these kinds of cases:
https://pubmed.ncbi.nlm.nih.gov/?term=(diabetic%20ketoacidos...
- > Sorry to be crass, but this type of argument is exactly why non-experts shouldn't be talking about topics
> I myself am not a doctor. I love to learn from my wife.
I suggest that you speak to your wife before correcting my unimpeachable explanation of why someone might die from being told, incorrectly by their CGM, that their blood glucose is low.
I say this as someone doesn't need to rely on a spouse but have actually received my own medical education. And I've had my own HHS patients—it's not even clear if your wife (!!) works in this area.
As the sibling commentator shares, we don't really expect these patients to show up after a day of bad data, but we also have no idea how many days of bad data occurred.
- It depends on what the true blood sugar value was: if someone were already at the high end of normal and a 'brittle diabetic', you can end up in 'diabetic ketoacidosis' for T1DM individuals or—less likely—'hyperosmolar hyperglycemic state' generally.
See https://www.mayoclinic.org/diseases-conditions/hyperglycemia... for a discussion of both (in Emergency conditions)
- > Actually a PhD is a con, not a bonus if you want normal jobs.
Depends on the market, which is true for any field. In places where there's a lot of technical work to be done, employers can hire PhD's and will do so if there's a local supply.
- > Did Instagram have their LLM analyze the post and then only post generated slob when it concluded the post came from a woman? Certainly not.
I actually am sympathetic to your confusion—perhaps this is semantics, but I agree with the trivialization of the human experience assessment from the author and your post, but don't read it as an attack on women's pain as such. I think the algorithm sensed that the essay would touch people and engender a response.
--
However, I am certain that Instagram knows the author is a woman, and that the LLM they deployed can do sentiment analysis (or just call the Instagram API and ask whether the post is by a woman). So I don't think we can somehow absolve them of cultural awareness. I wonder how this sort of thing influences its output (and wish we didn't have to puzzle over such things).
- I also pay for the $100 plan as a researcher in biology dealing with a fair amount of data analysis in addition to bench work.
Incidentally, wondering if anyone has seen this approach of asking Claude to manage Codex:
https://www.reddit.com/r/codex/comments/1pbqt0v/using_codex_...
- > Banks [...] will face meaningful consequences for getting this wrong with any regularity
That's false, unfortunately. There's amazing levels of discretion that banks enjoy and minimal accountability to end users. The CFPB (in the USA, anyway) was a countermeasure but has been recently weakened.
- It sounds like you may also benefit from further reading about this issue.
- > Nonsense
Well, I don’t know what to say except that you are wrong.
> No. You can see both publications right here
I appreciate that you have found articles to support your argument and encourage you to continue reading further.
- Perhaps we're misunderstanding each other:
> What you are saying is not true- it is academic misconduct, with formal consequences, to not credit the person that did the work.
This is true in the sense of purported plagiarism, but not in the sense of citing who is 'responsible for the idea'. Review articles will often cite a senior article when describing work performed over time, even if the primary authors have changed.
> Typically the grad student or postdoc that actually did the work is the first author listed on a publication, and the PI that advised and obtained funding is the last author.
This convention varies by field and is not universal. It is isn't even constant in all fields of biology
> They also personally both get listed on, and obtain a percentage of profits from any patents resulting from the work.
This depends strongly on where the work is done (even the department within a university)
> no, researchers at a private for profit company like Google are not “academics.” They don’t need to follow strict institutional rules about fairly crediting people for their work, and they don’t need to bring in their own funding in the form of grants. An industry researcher only gets credit if their employer wishes them to, an academic is entitled to get credit for their work through formal rules.
The assertion about no academics in companies is not true at all—being an academic has little to do with where money comes from (if this were true, there were no academics at all in the 1700s, an obviously false statement).
Bell Labs, Google, MS and others have formal research institutes within their organizations. I agree that each has conventions around recognition, just like in other areas of research.
- > That is correct, it was Gosling. This whole "controversy" is so stupid.
Graduate students aren't cited for coming up with innovations - the controversy is valid, but for some reason, people keep finding reasons to maintain a heterodox opinion.
The images weren't even shared with Watson/Crick by Franklin but by someone else.
- > These people are academics, their entire career and ability to get continued funding
The people I'm referring to at Google et al. are also academics.
Graduate students, and even post-doctoral researchers, are not the ones cited for breakthroughs from a laboratory.
- > My understanding is that it was done by her grad student, Raymond Gosling.
Ah yes, this is why we all know the name of the person who proposed the original iPhone project! And also why the name of the researcher who first thought of GPTs is on everyone's mind (and why nobody can remember the name of the laboratory where the work was done)!
And it's why whenever we invent something on our employer's dime, the patent doesn't bother to mention the people who took the risk of supporting the invention.
Good catch.
- https://pmc.ncbi.nlm.nih.gov/articles/PMC7314691/figure/f002...
Take a look at their figure, especially in May 2020—the average appears lower, but, more significantly, there is much less variability in May 2020 compared to earlier years.
The authors' model quite strongly includes their preferred confound (secular decrease in PM2.5) but doesn't explore what other covariates could explain the differences between years.
It's fine to say that one should be skeptical, but one contrary report doesn't invalidate an antecedent report, and the structure of a linear model strongly influences an outcome.
- > This is supposed to be a scientific article
The 'article'[1] is completely written by an LLM.
1. https://genomicpress.kglmeridian.com/view/journals/brainmed/... currently, hopefully it is changed to the actual research link which is https://www.nature.com/articles/s41586-025-09755-9
- > It has always bothered me that by "spectrum" they mean not the sort of continuous thing that spectra actually are, but instead some disjoint set of "colors" any one of which might describe a person. That's called a partition, and its in an entirely separate thing.
Hmm, what are these 'colors' in your framing? I don't think anyone feels that ASD comprises totally distinct, 'disjoint' descriptions. It's true that there are multiple parameters along which one may vary, but that's true of any human syndromic disease, and probably true for any human disease, in general.
Here's a popular press article that talks about a very recent framing of autism that uses clinical and genetic data:
https://www.simonsfoundation.org/2025/07/09/new-study-reveal...
I instead link to authoritative references.