"Good for fever"? Only ignorant consumers would attempt to counteract the body's very own defenses against infection and disease.
A fever is not dangerous within normal parameters, except for being dangerous to the virus and bacteria that threaten the body. Your body runs a fever because it engages in a battle to the death with these microbes.
If you defeat the body's own defenses by lowering the fever, for example if you are a nervous mother who hates her baby's fussing, or if you're hospitalized and the nurses are laser-focused on "number go down" treatments, then you can expect to be ravaged by the contagion for much longer than expected.
The priorities have drifted. In the middle of night I don't care about getting healthy, I need to get rid of fever, so I can fall asleep and able to got to work/school in the morning. And somehow there is never right time to be sick and everyone just want to supress syndromes here and now.
Someone with a basic understanding of evolution and biology understands that evolution will take any free lunch it can get.
The vast majority of the time medicine can only ever help with (acute) symptoms and rarely the underlying cause unless it is something like vaccines or antibiotics.
Medicine has side effects because if there was a free lunch to be obtained from medicine, the human body would have synthesized the medicine directly. Hence medicine is always about making tradeoffs.
When it comes to general health, there is always a causal chain of cause -> primary symptom -> secondary symptom -> tertiary symptom -> ... and a lot of medicine tends to work on the secondary or tertiary symptom.
Pain evolved to be an accurate indicator of damage to encourage you to stop ruining your body and not a punishment.
I am forever astounded by the self-satisfaction of programmers as they talk about domains unfamiliar to them.
Just imagine someone trying to lecture a network engineer about how really async bugs should really never be different than bugs you see single-threaded if you use a semaphore. I mean, that's why we have semaphores!
Anyway, the temperatures attained during fevers are at best bacteriostatic (read not helpful in actually treating an infection that would lead you to seek medical care). If you've got evidence-based arguments, happy to counter them. Just please don't evoke 'evolution' to explain your bias-du-jour.
Evolution didn't create the personal computer or build a skyscraper. We're firmly in uncharted territory wrt things our bodies were evolved to deal with. As a great example, human temperature has been going down over time—evolution tells us that must mean we're all more susceptible to getting sick!!! https://med.stanford.edu/news/all-news/2020/01/human-body-te...
This is a good argument, but it has a flaw here, which is that a systemic fever during illness may still be an evolutionarily beneficial adaption on average if there are a some situations where it can be the difference between life and death, e.g. bacterial pneumonia or sepsis, but that doesn't mean it's equally useful for all types of illness.
I did a fevered research dive last time I had the flu and came to the conclusion that there wasn't really any good evidence that fever is helpful for flu, and I should have few compunctions about suppressing it. (And that most of the situations where fever is really valuable for are ones where in the modern world you should go to a hospital and in the case of a bacterial infection be given antibiotics)
> It's estimated that between $250 billion and 500 billion is laundered through US banks every year, though some portion of that is via correspondent banking and not just individual account money muleing.
The money laundering is not happening through consumer deposit accounts (I've never heard your term money mueling and it's almost definitely not people moving $10,000 at a time if that's what you are suggesting).
It is wanton disingenuity to think that the goal of this rule is prevention of money laundering.
I didn't say that was the goal. I explicitly said that it wouldn't do anything about it. Just that it happens.
And absolutely it happens, particularly with networks of accounts connected to China. Just because you've never heard of it doesn't mean that it doesn't happen. FinCEN has been publicly chasing this down for years. Although hawala networks are also a big source of that not mainly personal banking.
Also you're missing the forest for the trees here. Money laundering will most often happen through business bank accounts but a large number of business account holders also have personal accounts at the same bank and link them out of convenience.
Personal ID is also required to open a business bank account. This requirement will likely apply to those as well.
> Also you're missing the forest for the trees here
I see what you're saying - I am just trying to convey that the $250 billion dollars being laundered is commercial. It's hard to imagine how anyone can come close to those figures by using consumer accounts, linked or not.
This is very clever - the X chromosome has a mechanism to shut itself down (which makes sense; otherwise cells in women would have twice as many gene products from the X chromosome as cells from men).
The linked research report[1] uses that mechanism, Xist, to shutdown chromosome 21, the extra chromosome whose presence causes Down syndrome. In its present form, it would need to be optimized for each potential patient and is unlikely to be used as a treatment paradigm, but the biological approach is clever.
> the X chromosome has a mechanism to shut itself down (which makes sense; otherwise cells in women would have twice as many gene products from the X chromosome as cells from men).
You can see this visually because not the same X chromosome is deactivated in all cells: it's what gives calico cats their color (almost all of them are female).
Human women have stripey skin too, but you can't see it under normal light because unlike cats, skin tone in humans is not controlled by the X chromosome.
Can you link to a scientific article? I have severe doubts about that claim made on a random youtube video. In fact, I'd go as far as to claim that the content of the words here, are not correct. This is why I think a doi link to a research paper is necessary. I don't doubt that individual cells are, of course, chimeric, but I doubt the "stripey skin" claim. That one makes zero sense.
I just did a google search and this further confirms my suspicion. Thus I would like to ask for a link to a scientific article - until that happens I remain rather unconvinced.
> Human women have stripey skin too, but you can't see it under normal light because unlike cats, skin tone in humans is not controlled by the X chromosome.
Humans have 'stripey' skin because of somatic mutations, and it's not clear that there are X-chromsome-located skin color loci. Don't believe everything you see on Youtube.
For a more practical example, how does this work for the daughter of a colorblind person (the colorblindness gene is on the X chromosome)? Do they have four types of cones?
Yes, but it's not limited to that case - there's two common variants of the green cone that respond to different wavelengths and people with two X chromosomes can have both, improving colour identification.
And how do they ensure that only one X chromosome is inactivated? All three X chromosomes are, for the most part, equal, neglecting differences between father and mother X chromosome and changes during meiosis.
> From what I see, the first two graphs have OpenAI models above Claude
That's just in that final graph, and that graph is perhaps the least instructive - they talk about ranges of outcomes but they don't show whether all of the models besides Mythos / Opus 4.6 overlap
Take a look at all three graphs together and it's clear Anthropic are doing better in this arena
Yes. I know. That was exactly what I said in my first comment.
On individual tasks Claude and GPT are comparable (as shown in the first two graphs), but on multiple step problems that require more autonomy Mythos is far better (as shown in the third graph).
This is the exact wording from my original comment
> So with that said, I think the graph under the "Cyber range results" is the important one. The ones at the top show that, yes, Mythos isn't too much better than any of the existing models on well constrained problems, but when the models are given ambiguous challenges that require multiple steps it's much, much better than anything on the market.
> On individual tasks Claude and GPT are comparable
That is not what the first graphs show - the Anthropic models cluster at 'better' positions on the graph, and I imagine you could show that the values are significantly different.
Garrison was killed four days after the indictment was released. From the text:
> On September 18, 2020, the Justice Department unsealed a seven-count indictment charging Garrison with “staging over fifty accidents.” Alfortish and Motta weren’t indicted or named in the document, but they were described, respectively, as “Co-Conspirator A” and “Attorney B.” Garrison’s coöperation with the F.B.I. wasn’t referenced in the text—and it might have seemed that charging him in such a public fashion would be a good way to conceal his role as an informant. But a close reading of the filing encouraged certain inferences. One stray sentence asserted that “Co-Conspirator A instructed Garrison on the number of passengers to include in staged collisions.” Alfortish might have made some unconventional life choices, but he wasn’t a total idiot. He certainly hadn’t supplied that information to the Feds—and the only other person who could have done so was Garrison.
> Four days after the indictment was made public, Garrison had dinner with his mother, Sandra Fontenette, who was seventy-four, at the tidy condominium that she owned, on Foy Street. They ate gumbo and talked. Garrison had been texting with a woman named Kim that afternoon, and they had made plans to hang out after dinner. At around eight-thirty, the doorbell rang, and Garrison went to meet her. But, upon opening the front door, he shouted to his mother, “Get down!” Ten shots rang out, and Garrison collapsed on the floor, dead.
Looking closely at the graphs, the anthropic models are clearly all higher than the openai models
Whether the difference is meaningful can’t be determined from the graphs (and picking one graph over the ensemble also doesn't have a reasoned basis given that these are all arbitrary).
It's a bug in the website's preview mode — if you look at the full essay, it has (if I've counted correctly) 25 paragraphs. There are also three paragraphs that start with "BC" for some reason, which seem to be bigger breaks.
There should be 7 paragraphs in the preview shown, with paragraph breaks after ‘reigns.”’, ‘on Amazon.’, ‘Well, yes.’ and so on.
Tylenol/acetaminophen is good for fever which NSAIDs won't help. Otherwise, take both and alternate their dosing times for better pain coverage.
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