"European pre-modern wars consisted of small armies and relatively low civilian casualty ratios." I don't think the Napoleonic wars of early 17th century can be considered small armies. French Empire had around 1.2 million regulars in 1813.
CDC estimates about 60 million are effected by parasites in USA. which is about 17 or 18%.
Gut cleanse, colon cleanse, detoxing. None of this is supported by science. Nor would any of these things cure, prevent or in anyway help a parasitic infection.
While yes this isn’t scientifically backed, because there’s just no clinical trials yet, doesn’t mean it is bunk. I did a program myself and it fixed all of my problems. My stool inflammatory markers went down drastically, as did my myriad of symptoms that caused me issues every day.
Perhaps I was wrong in strongly recommending people just go do this randomly without any doctor oversight. Whatever. I just wanted to offer my experience because it helped me and can help others. Take it or leave it.
Gut cleanses are probably stupid but I wonder if people would benefit from taking antiparasitics prophylactically. It's not something I've ever done, but I eat sashimi pretty regularly and wonder if I should take something like praziquantel because I'm probably at risk for Japanese broad tapeworm, and the symptoms are mild enough I can't really tell without testing, but the price of actually testing is much higher than just taking a drug with a great safety profile.
For similar reasons, I also wonder about people who consume raw milk. These people are more likely to endorse ivermectin for e.g. covid, because it made them feel much better. Maybe it's possible these people aren't lying about that, but not because it cured their covid.
Gut cleanses is really just a herbal medicine protocol you do for a few weeks. Herbal medicine is not stupid, it has been used for thousands of years. Hell even some pharmaceutical drugs use herbs.
Desert humidity is typically between 10 to 30%. The device is rated as functional at 20%. Extrapolation is commonly used predict values outside of known data. Yes there is a risk of inaccuracy, but it shouldn't be outright dismissed.
i am easily dismissing it because this is not the first time someone pitched something like this. It never really works. This extrapolation was wrong in all cases so far. And "as low as 20% humidity" was a feature of most of them too
seismometers installed along the coast and near the tracks. Senses the earthquake and trains respond if necessary. I believe if the epicenter of the quake occurred directly under a moving train this system would fail(or too close react). However, that appears never to have happened and is probably extremely unlikely.
https://en.wikipedia.org/wiki/Timeline_of_cancer_treatment_d...
I won't debate what merits a major breakthrough. I will say, that while there hasn't been any major developments in the past five years, I can't draw any conclusions from that tidbit of information.
That cuts out in 2015, but 5 year survival rates keep increasing with the USA just crossing 70%. Though across longer timeframes some of that is from early detection; even limited to late stage diagnosis the statistics still show significant improvement. https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac...
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This is like a restaurant that releases a new feature that they will no longer defecate in your food. Don't get me wrong. I appreciate that I can select that they will no longer defecate in my food, however I think we might be on the wrong path.
It's been at least 10 years that google translate had hallucinations.
Some translation simply change depending of a ponctuation mark.
But peoples complain only now that they heard about AI.
Of course it's not perfect, but I agree that we didn't had a machine translation as good before.
Could you please explain briefly then why my statement is wrong? What are the fundamental challenges not addressed by LLMs today? Do you think the whole approach has insurmountable roadblocks ahead, or is it more of a matter of refinement?
Context dependant phrases, from simple pronouns to whole domain specific terms, are still randomly wrong, sometimes appallingly so. Hallucinations still happen. Auto-AI translation youtube uses is, bluntly, horrid. Any jokes, even obvious ones, are still fumbled frequently.
LLM based translation looks more convincing but requires the same level of scrutiny that previous tools did. From a workflow POV they only added higher compute costs for very questionable gains.
> Auto-AI translation youtube uses is, bluntly, horrid. Any jokes, even obvious ones, are still fumbled frequently.
Youtube auto-translations are horrible indeed, and I say that as someone that has to live with the fact that Youtube decides to badly translate titles from a language I understad to Spanish because bilingual people don't exist I suppose. But that is because they use some dumb cheap model to make the translations; probably not even a Gemini-based model.
> Hallucinations still happen. Auto-AI translation youtube uses is, bluntly, horrid. Any jokes, even obvious ones, are still fumbled frequently.
I've seen that too, but these were all dedicated translation tools and auto-translate functionality.
My benchmark is against SOTA LLMs used directly. I.e. I copy the text (or media) in question, paste directly to ChatGPT or Gemini (using the best model on basic paid tier), and ask for translation. Not always perfect, but nearly so - and they naturally ingest additional context if available - such as the surrounding text, or title/ID/URI of the document/website you're looking at, or additional explanations in the prompt - and make very good use of it. This has always been missing in dedicated tools, historically built around the mistaken assumption that translation is merely a function of input text and pair of language designators (from, to). The shorter the input, the more apparent it becomes how much context matters.
RE YouTube and such - or, like any auto-transcription in video calls I've seen - I can't explain that by anything other than service providers cheapening out on this.
> From a workflow POV they only added higher compute costs for very questionable gains.
Regarding the costs - I imagine they may be an issue at scale, but for regular use (on-demand translation of individual passages, documents, recordings), it feels like it shouldn't be that noticeable anymore. You don't need to run GPT-5 for everything, some models you can run client-side already seem decent enough, and they keep improving.
> LLM based translation looks more convincing but requires the same level of scrutiny that previous tools did.
That's fair. Ultimately, if you don't know both languages, you can only trust the translation as much as you trust the translator (human or otherwise). We'll have to get a feel for this as much as we did with Google Translate, et al. In my experience, whenever I can verify them, results from LLMs are already vastly superior to prior art.
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Tangent, and why I started considering LLMs as solving universal translation in the first place: 6 months ago, when I needed to talk with someone with whom I had zero language overlap, I tried several well-known translation apps (notably Google and Samsung), and none could manage - but then, on a whim, I just asked ChatGPT (in "advanced voice" mode) to "play a game" where it listens in and repeats whatever was just said in language A, but translated to language B, and vice versa -- and it worked flawlessly on first try.
I don’t want nor need on device translation enabled by default. I’ve gone without it for the three decades in which browsers have been around. I’m sure it’s brilliantly useful for some people. A one time ‘would you like to enable AI on startup’ for at least years with user profiles that are significantly old would at least be a show of good faith.
It's more like if eating guano became a fad, and restaurants started offering guano dishes, and this one said "OK we'll still have guano on the menu because it is popular with some patrons, but we'll have a separate menu with no guano options at all for those who want to be sure they're not getting any."
> This is like a restaurant that releases a new feature that they will no longer defecate in your food.
Thank god, at least there's one restaurant not serving literal shit.
You're analogy works but you can't forget that there other restaurants. That the other restaurant not only aren't making promises to not defecate in your for but they're actively advertising how much shit they can shove in a sandwich. Even the bread is made of shit!
So thank fucking god. At least there's one place where I don't have to eat shit. The bar is so fucking low it doesn't matter if they spit in it or you find the chef's ball hairs, at least it isn't shit.
I've been using two separate accounts, also always via VPN. My account was immediately blocked until I provided a phone number (doable but a chore to have a private number).
Same with the other account.
An attempt to remove an "optional" and totally not mandatory phone number results in immediate account block "for my own security" and a request for the number.
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