1,493 karma · joined March 16, 2017
I have seen this so often that I sometimes wonder if it'd be more fuel efficient to let the 4-5 cars on the major roadway proceed (the traffic lights have cameras anyway) while letting the one car from the small street wait slightly longer or wait for a fixed amount of time.
I wonder if there's any traffic engineer on HN from California and if so, I'd love to hear an explanation/rationale behind the current approach.
Can't agree with you more. I review 2-3 PRs a day from my team of eight data engineers. Most of my team members use Claude to write SQL, dbt and Python code. Some of them use Claude a lot, some less so. I can easily tell when I review the code that is mostly Claude generated vs. the one that is not. In dbt models where we have a lot of biz logic in intermediate layers, that's where I really have a difficult time following Claude-generated comments. So much jargon copied over from other adjacent dbt models (yet inconsistently), and the prose is super choppy (for the lack of better word).
After reading a looooong sentence/comment line, I still can't figure out what it really means. Had to always re-read the line 2-3 times (sometimes, more) to sort of understand. Reading code, however, is so much easier and usually, I just skip to reading the code and then come back to the comments. :D
I immigrated from a very poor, military-ruled country to the US more than 20 years ago. It is very sad to see the democratic system and the rule of law eroding in the US. All the mistakes that I observed and lived through in my former country are being practiced in the US these days.
> I have no desire to keep working for random "Mikes" and "Bobs" in upper management that only care about their bonuses and stocks. Not in Big Tech, not in random startups, not anywhere else. "Mike wants this", "Bob wants that"... Gosh, I couldn't care less about their "direction"!
Agreed! That's one of my motivation to retire early. :)
I know I'm speaking from a rather (somewhat) privileged position. I myself don't consider working beyond 50 years of age. I have lived frugally/minimally and am confident that (unless WW3 happens or some sort of unexpected global catastrophe arrives) I can FIRE (retire frugally with my savings) before I hit 50.
I also know it's somewhat of a bubble, but Reddit has a lot of subreddits (like r/HENRYfinance/; r/Fire/; and r/coastFIRE/) dedicated for folks retiring early.
Observing that FIRE trend and the fact that AI psychosis (don't get me wrong, I believe AI is useful, but not to a level that humans will be entirely replaced) at work place will surely drive some folks away (or at least discourage them) from staying in the work force, I am not surprised that this trend is showing up in the data. Plus, a lot of millennials are child free (by choice), so they can afford to retire early as well.
That really bothered me that I finally announced AI "code of conduct" (more like AI usage expectation) and stressed that if one is not so kind as to have his/her coworker review AI output as it is, then I'll take formal measures to address that. We'll see what happens in the near future.
Really worrying that some people are totally comfortable with relying 100% on AI to do their work. Then what's human agency? What's the point of having them in the team (as opposed to just building an AI agent and work with that)?!
``` Core Legislative PrioritiesMedicare Reform:
Fighting to fix stagnant physician payment formulas and account for inflation.
Prior Authorization: Pushing to reduce administrative roadblocks and delays enforced by insurance companies.
Scope of Practice: Opposing laws that expand independent clinical roles for non-physicians like nurse practitioners and pharmacists.
Burnout Reduction: Supporting federal and organizational relief to help doctors manage workplace stress and administrative tasks.
-- Public Health and Science
Public Health Crises: Supporting science-based policies on vaccinations, gun violence prevention, and chronic disease reduction.
Digital Health: Guiding regulations for artificial intelligence and telehealth integration in medical practices ```
Most of these are about keeping the gate (i.e., doctor's compensation high). The US doctors are the highest paid in the world (among developed countries like UK, Canada, France, Germany, Italy, etc.) by a long shot. Kind of mad if you think about it.
Disclaimer: My spouse is a specialist doctor. You can say I have selfish interest in keeping doctor's salaries high in the US. But I can't help highlighting that doctor's guilds (like AMA) are part of the reasons why the healthcare expenses are so high in the US.
I have a Hisense TV with Roku interface. I was always able to search a movie and it'll tell me ways to watch. Being a data engineer, I sometimes wonder how that data is collected and aggregated.
Then our software engineering team ingest the dbt models (we have to tactically create dbt models; that is, always think "what would make LLM hallucinate less" as we are implementing them) and info from the semantic layer to build context for the LLM, and use that to answer analytical questions. So far, it's been promising. The accuracy isn't zero like the blog's author suggested though. We have built like 30 metrics in dbt and semantic layer in the last quarter, and asked the research and analytics teams to do internal testing on the LLM app. I will find out how accurate this approach is from the feedback soon.
I was a little annoyed by being asked to log in. But I don't want to browse 'reddit.com' because I don't like the way the new UI looks. It's hard to read and scan the first few pages quickly in the new UI (also looking at you Vanguard; you destroyed your old UI which was compact and informative).
Worse, now that I'm logged in and can use "old.reddit.com", Reddit serves me what it "thinks" I like, so now I'm trapped in the subreddit/topic bubble that Reddit selects for me (btw, it selects things poorly). I want to go to the old front page, so I click on 'Hot' or 'Top'. But Reddit still interleaves the posts with what it thinks I'd like to see.
Madness and sadness ensue.
All of this to say that your observation in Germany doesn't sound that different from mine in the US (been here for over 20+ years; been in a manager/director role in data for almost a decade).
There were a couple of lass action lawsuits (like this one: www.GoogleWebAppActivityLawsuit.com) against Google. The emails from both lawsuits went straight to my Gmail account's 'Spam' folder. I'm glad I review my spam box regularly. Hopefully, it's just the false positive effect of the Gmail's spam filter.
Yesterday, one of my coworkers (Senior Dir. of Research Ops) shared with me another obviously AI-generated 5 page draft of an SOP on how to reintegrate old metrics (in the legacy SQL Server environment) into the Azure SQL while keeping everything running smoothly. She's not the most technical person, so it obviously is reflected in the doc generated.
I think we will all become AI-output-reviewers eventually. Not sure how long I can keep doing this though because the volume of materials that need reviewing seems to be growing really quickly these days....
So I decided to...use Firefox a lot more with DDG (I use FF for mostly privacy-sensitive stuff like checking my financial accounts, but now I use it for a lot more browsing stuff).
Seems like it is the Chrome browser over-reacting.
Even as an AI-neutral person, I'm very confident that AI/ML based computer systems, once trained specifically for medicine, will consistently do better than human doctors because believe it or not, there are a lot of human errors made in medicine field (doctors just don't admit that and we don't know) due to lack of time by doctors or incompetence or simply forgetting a fact or two that they should have checked when diagnosing or coming up with a treatment.
Educating kids about the potential harm, and also making parents take some more responsibility seem like a more positive approach to me.
So in the end, my wife usually doesn't end up watching anything on Netflix. We only have that account because it was sponsored by T-mobile. Otherwise, we'd not be subscribing to Netflix.
But doctors (a lot of them, not all) are complicit in this healthcare complex. American Medical Association is one of the top lobbying groups in D.C. They gate-keep the production of US doctors artificially low by making the candidates go through longer years of education (4 years of college before another 4 years of med school is an overkill for most doctors) compared to other developed nations, resulting in high compensations for doctors AND longer wait-time for patients (due to doctor shortage). They also put up regulation barriers and it requires a lot of certification and exams to become a doctor, so whoever becomes a doctor has the best interest to keep the system (status quo) going.
Average US doctor gets paid a lot more than their counterparts in other developed nations.
P.S. Credit to the poster, she posted a correction note when someone caught the issue: https://www.linkedin.com/posts/mariamartin1728_correction-on...