They may be looking at the societal level and saying: "I can attempt to teach my kids best practices, but I've learned I sure can't rely on my peers to do the same with their kids...", then feeling like the outcome of that, if left as-is, is societal decline... and then believing that something needs to be done beyond the individual level.
Do you think the category of people that "consume their news" via primarily reading headlines from aggregators (google/apple mobile built-in "news") is significant or no?
(this is a big part of my consumption, and is combined with scrolling HN/reddit headlines; often to paywalled sites, which leads me to mostly reading comment discussions on those two sites)
(edit: disclaimer after reading a few other comments: I use Android; so don't have personal experience with Apple News, which may in fact be significantly different/better product)
> You’re making a choice to prioritize profit (or foreign countries) over the country that you benefit from. This is an immoral and short sighted business decision, as you will eventually see a backlash from the host countries you’re effectively operating as a parasite in.
I have the vague sense we're far enough into e.g. offshoring that it's not purely about "profits" but about being competitive because all your competitors are doing the same thing.
But, then again, wealth inequality increase doesn't seem to be slowing (so profits /are/ being achieved), and I mostly think about businesses in robotics (and I don't spend that much time pondering it) where there's a lot of complexity in the stack, needing more "manpower", and being smart with money spent is maybe /more/ important. Robotics is a smallll sliver of software dev companies... (thus, "vague sense")
I assume the mention of benefits was mostly a polite way to decline giving a number... It might also be more applicable in other industries/roles where benefits are more varied.
In either case, it never amounts to more than a $10K swing in comp. Same for vacation time.
Yes, it's a polite way to brush off the question. But the end result is the same. A job offer way lower than what you're making, and now they have $20K in a bucket to go a little higher when you try to negotiate.
Last 2 positions I’ve had haven’t had 401k matching and the health insurance costs are eye watering. I might consider an improvement in both to be worth a fair bit.
In my experience, those are the two things that are impossible to move. They're built into company HR structures and they don't bend them for individuals unless you're C-suite.
In limited experience, I've been unclear if this strategy changes when dealing with companies that actually list the salary range (generally when required per some recent state laws).
Most of the time, I'd just answer "I'm ok with your published range, we can proceed." or similar.
But, I've also seen ranges that span hundreds of thousands of dollars. Like "Software engineer: $150k-$250" which is a ridiculous range that makes it almost meaningless. I mean, what are they thinking - any candidate worth their time is going to aim for the $250 end...
Even that range is much better than nothing. A person making 300k knows not to bother with the process and a person making 100k knows that it is definitely worth applying.
That feels like malicious compliance to me. I'd expect vastly different capabilities and output across the spread. At least in my region, the low end of that is somebody a few years out of college. And the high end is... well, pretty much nobody with that title is making that much.
Yeah, I think if they have published a range and you are comfortable with it, you can say "I reviewed the range on the website and am comfortable with it".
If you are not comfortable, then I'd be clear why, with data, upfront. "I saw the range on the website and it seems low based on X, Y, and Z. Is that range flexible?"
Whether the answer to that is yes or no, you'll be in a better spot whether to decide to move forward.
I recently learned there's a massive gap in collection of fines relating to data handling violations, due to a (not covered) mix of non-collection and going through legal processes. (over the past 6 years: 4+ billion in fines; 20 million collected) Seems like a problem, and further changes might come partly from it.
> If we let property taxes just be whatever they "should" be without penalizing home-buying in the process you could at least know what you'd be paying rather than having to factor in a 3-5x increase.
I wouldn't be surprised to hear this varies by jurisdiction. In CA, which has large property tax jumps on sales thanks to Prop 13, it seems like you can know the annual property taxes in advance. The sale price is the taxable valuation* and you can find what the local tax rate is (or you can infer it pretty closely from another recently sold home's public municipal taxes paid).
So solves one problem, but is still problematic :)
*I assume this is the general case, anyways; maybe there's details I'm forgetting about separate tax rates on the land and the improvements; the split of the overall proper value between those two categories was mystifying when I bought...
Correct. The unemployment rate was 4.7% in January 2017 and was 3.6% in January 2020. Or if we look at total private sector employment that went from 123,300,000 to 129,300,000 (its highest ever, at the time). That's an average of 125,000 jobs per month, or equivalent to Obama (although Obama's unemployment was significantly higher for both terms).
I agree with a bunch of this (I'm almost exclusively doing python and bash; bash is the one I can never remember more than the basics of). I will give the caveat that I historically haven't made use of fancy IDEs with easy lookup of function names, so would semi-often be fixing "ugh I got the function name wrong" mistakes.
Similar to how you outlined multi-language vs specialist, I wonder if "full stack" vs "niche" work unspokenly underlies some of the camps of "I just trust the AI" vs "it's not saving me any time".
Can you provide more context to your statement? Are you talking about models in general? Or specific recent models? I'm assuming "one-shot approach" is how you classify the parent comment's question (and subsequent refined versions of it).
