1,493 karma · joined March 16, 2017
I hope not of a lot of the future folks hate me for leaving them with ample context and clear/dead simple code.
On a related note, when I lived in FL, I often saw cars with this opaque plastic cover on number plates. I think these are installed by the drivers so that they can avoid paying road toll (FL has many road tolls). I also noticed that these drivers tend to be more aggressive in driving than others (that's how I noticed their license plates are covered). Will the same punishment be applied to those drivers?
At least in UK's chart, "GP & Primary Care", "Private GP Services" and "Administration" are separated. Same in Germany too.
I'd not be surprised if a good number of people did the same. PLUS, the prices rose by quite a bit between the start of the year and now. So we need to see if this increase is sales match up to inflation (which, unfortunately, would be more difficult to rely on knowing that that metric has become politicized.)
Python, the language itself, might not be a great language for data science. BUT the author can use Pandas or Polars or another data-science-related library/framework in Python to get the job done that s/he was trying to write in R. I could read both her R and Pandas code snippets and understand them equally.
This article reads just like, "Hey, I'm cooking everything by making all ingredients from scratch and see how difficult it is!".
P.S. When I was working at Amazon, I remember that a good number of on-call tickets were about fixing dependencies (in most of them are about updating the outdated Scala Spark framework--I believe it was 2.1.x or older) and patching/updating OS'es in our clusters. What the team should have done (I mentioned this to my manager) is to create clusters dynamically (do not allow long-live clusters even if the end users prefer it that way), and upgrading the Spark library. Of course, we had a bunch of other annual and quarterly OKRs (and KPIs) to meet, so updating Spark got the lowest of priorities...
A frustrating thing about this suggestion -- if I tell my physician (I live in the US) that I want these unusual tests prescribed, s/he would scorn at me (as if I'm acting like a know-it-all and am questioning his/her wisdom attained through years of medicine school and practice).
I truly don't understand about US healthcare is why we allowed medical practitioners to put up barriers around medicine (sure, ban opioids,chemo drugs and maybe a handful of other toxic-with-low-dose meds) and testing by requiring everything doctor's prescription?!
For example, my wife had an swollen eyelid (through infection) recently. She is an oncologist in training (is a board-certified internal medicine doctor). She knows how to treat it -- by putting clean, warm cloth over her eyes to allow pores to expand and let secretions seep out (to treat the symptom); by adding anti-bacterial eye drop like Tobramycin ('mycin' means it's Penicillin-variant, which is usually used to treat bacterial infection) OR by taking antibacterial medicine like Azithromycin. If we were in our home country (in SE Asia), we'd just go to a nearby pharmacy and buy either the anti-bacterial eye drop or pill, and get it sorted. Since we live in the US (for now), my wife has to asked one of her coworkers to prescribe her the medicine (she wasn't sure if she can self-prescribe because we just moved to CA and don't want her to lose her license). Then she took the anti-bacterial pill three times (with the warm cloth treatment for symptom), and the infection was treated completely.
I strongly believe that this kind of infection treatment or self-prescribed blood tests should be allowed without any doctor prescription. Otherwise, it only adds more (unnecessary) patient volume to doctors, clinics and hospitals. I remember reading someone from India advocating for similar approach on HN or Reddit a year or so ago too. In India (just like my SE Asian country), they could just go buy medicines over the counter from a local pharmacy. No doctor's prescription needed (maybe the law is there, but it's not enforce strictly).
This is Myanmar military trying to do field work for China. China is the one who allowed these militias to thrive in the border areas and they have been arming them for decades. This particular operation happens in Myawaddy, which is in lower eastern part of Myanmar close to Thailand, but not in northeastern Myanmar closer to China, because Myanmar military dare only touch the militia there. It helps that the accused collaborators of these scam centers in the lower east part of Myanmar are Kayin ethnic militia, who--unlike Wa or Kokang--aren't as Chinese, and thus, China doesn't care. Also, China is now 100% backing the military regime (which staged a coup around 2021) in Myanmar, so this is like shooting two birds with one stone (i.e., get rid of scam centers for China, while helping Myanmar's brutal military to remove an income source of one of the non-ethnically Chinese militia).
The military dares not assault the northeastern militias like Wa [ https://en.wikipedia.org/wiki/United_Wa_State_Army ], Kokang militia [ https://en.wikipedia.org/wiki/Myanmar_National_Democratic_Al... ] because these guys are truly backed (and enabled) by China. There was a raid by Myanmar military in northeastern part (close to China) about a year ago [ https://www.rfa.org/english/myanmar/2024/11/20/shan-state-wa... ] and that was backed by China. Otherwise, Myanmar military dares not do that.
Basically, China is getting what it sowed and now that its citizens are being impacted, it's asking its lapdog, Burmese military, to do the clean-up for them selectively.
It'd be interesting to see if/how e-bike laws would evolve if this trend gets bigger (ebikes are already big in big cities like NYC)
When you look deeper into most of these companies, they seem better off using third-party services (like Claude/ChatGPT) instead of building their own GenAI models, MCP servers and whatnot. This is not considering that the domain they are operating in would have no apparent and obvious gain from utilizing GenAI (sure, they can buy ChatGPT/Claude organization subscription and that's all they need). I don't know if this is the indicator of how big this AI bubble is, but it sure is interesting...
Ok, prove it. Your claim warrants that. From what I've seen, DOGE's claims of savings are mostly made-up or erroneous. Not saying the federal government doesn't need efficiency improvements. I'm just saying the way DOGE (and musk) went about is just the typical musk's way of doing things (b.s. claims not backed up by actual facts).
P.S. I rarely get involved with political discussions on HN. But you got me interested first time.
Being self-reliant (being able to find happiness even when alone); being self-aware; being aware of others (including others' feelings, motives, perspectives); focusing on the journey; acknowledging that 'luck' has a non-negligible role in one's life; preparing our minds for inevitable death with calm acceptance; so many things the author's view resounded with in my opinion and experience.
I'd like to add that I feel frustrated when try out a screen at a museum and it not working (malfunctioning). I have been to NASA's Kennedy's Space Center (KSC) many times (like 5-6). Although they have got most of the exhibits working in good order, some of them are broken or not functioning well anymore. I still appreciate KSC (am an annual member), but I wish there is some philanthropist or the government fund to renovate these museums periodically...
Things I didn't like about Amazon: - you get paid once a month (basically, you'll letting the company use your money for free) - if I remember correctly, you get your RSUs vested at the end of the year for the second year (I think it's like 20% of your total comp) - your comp is heavily reliant on RSUs for the third and fourth year AND the base salary was below 200K - some of the things they do are cult-y - too much writing instead of building prototypes - some folks there practice resume-driven development regardless of whether it's actually good for the org/group in terms of maintainability, simplicity, etc.
Having said that, I met good coworkers and worked in a good team (luckily) although our on-calls were sometimes brutal (like hundreds of tickets a week during the on-call).
Side note, the individual-level vote buying also happens in the US system unfortunately.
The latter is what I used to do before AI summary was a thing, so I would logically assume that it should reduce the clicks to individual sites?
Plus, although we were friends at one point due to common interests, shared environment, etc., we grow up and apart. If chances collide, we will cross paths with some of them.
During my thirties, I felt a bit guilty about not keeping in touch with most of my friends from high school and college. As I reached mid-forties, I have learned to live with the above realization. I think I'd have a good chat with some of my old friends when I meet them by happenstance again.
I wonder though if the interior trim can be ordered without this felt-like material. I can easily see that being stained or dirty in a short period of time. I am sure there is.
My wife is going to make $400K+ minimum (if she does more than one day per week on-call, she will make easily $500K/year; on-call for oncology aren't difficult btw) when she's done with the fellowship. We both came from Burma (Myanmar), and she told me how unnecessarily expensive everything with medicine in the US is (including the number of years required to train to become a generic/internal medicine doctor in the US).
She is also unhappy with the fact that doctors are acting as unnecessary gatekeeper for a lot of medicines that are fairly safe to use (and are available for over-the-counter purchase in other countries like India and Burma). We have a lot of doctor friends in the US, so we know the "industry" very well. Doctors (along with pharma and insurance companies) are at least somewhat complicit in the ever-increasing prices in the US. AMA (American Medical Association) spent $24M+ in 2024 for lobbying [ https://www.opensecrets.org/federal-lobbying/clients/summary... ] while pharma spent 30-40x more in lobbying [ https://www.opensecrets.org/news/reports/layers-of-lobbying ].
Side note: yesterday, my wife's department (a fairly large hospital in LA metro area) was treated with steaks by pharma reps from cancer medicine company. A lot of doctors, residents and fellows were delighted with that meal to say the least. I have been to expensive (Wagyu-beef expensive) hot pot dinner hosted by another pharmacy company when my wife was just an intern at a private clinic.
BUT all three of them (AWS, Azure and GCP) have pros and cons, so you just have to spend a good amount of time learning their quirks.
With people talking about ads and such, I'm reluctant to get a new computer with Windows 11.
I am also concerned about couple of important things: human skill erosion (a lot of new devs who use AI might not bother to learn the basics that can make a difference in production/performance, security, etc.), and human laziness (and thus, gradually growing the habit to trust/rely on AI's output entirely).