1,920 karma · joined July 27, 2014
Unexpected downstream effect, this had a big enough impact that other groups started creating checklists for other kinds of scenarios.
For example, we're a fairly large company (10000+), but we still have an all company mailing list. And it is used by anyone to raise a concern, talk about an opportunity, etc. And that starts a conversation with anyone participating. I am on the Services side, but there is no barrier in place for me to reach out to anyone in the BU, Engineering, Marketing, whatever. I don't think I have ever had to pass a message up the chain of command for it to be passed down somewhere else, I'm just allowed to communicate when and how I need to.
The other way it comes out is that open-source has truly warped our way of thinking about things. For example, there's not a culture of restricting access to our own documents, team drives, etc. One of my peers was working on a new slide deck on a team drive, hadn't really shared it with anyone, then found out that one slide was copied into a presentation done by an EMEA team a day later. That kind of easy access and reuse is just _standard_. It applies to code, but also everything else we do.
I've worked with lots of clients through my job, and it is always eye opening when their employees are worried about "sticking out their neck" or otherwise rocking the boat. Or companies where a developer trying to talk to the business would be an incident with your manager giving you a talk. This is just completely foreign to anyone at Red Hat.
There are hard limitations on sensing onboard the train. Tracks that bend around hills, etc. I have some exposure to wireless communication for trains, and one of the limitations is that you can often not get a line of site even from one end of the train to another.
Self driving trains will require more coordination, with central dispatch to tell them when/where to go. That leaves the intelligence on the train much more basic.
So maybe the problem is that industry STEM is offering an overall better benefits package than academia? We're seeing the same thing in fields like AI, where academia can't retain top talent.
And by the way, how much are they willing to spend on their desired level of availability?
I still need a better way to run these conversations, but I'm trying to find a way to bring it back to cost. How much does an hour of downtime really cost you?
What seems far more likely is that, like every "matchmaking" website, there is a majority of accounts that are made up. They are obviously motivated to tout the number of young college kids in their marketing to attract the money, ie sugar daddies, to their website.
If it is credential inflation, then is it providing value? Or as the grandparent said, is it just moving value around?
Are more jobs requiring college degrees because they are the most efficient way to increase productivity? Or is it because they are an easy filter, and more people have college degrees?
Ending up with $100k+ loans is more common when people go onto professional schools (masters, law, medicine, etc), fields that should have higher earning power. Not everyone finishes, and for law not everyone that finishes gets a high paying job.
Over half of all student loan debt is held by those with advanced degrees (https://wcer.wisc.edu/docs/working-papers/Working_Paper_No_2...). Add in that only 13% of Americans 25+ have advanced degrees, compared to 35% with at least bachelors degrees.
Student loan debt is disproportionally a problem with advanced degrees, but it all gets lumped together when we talk about student loans.
Comparing that to my alma mater (Johns Hopkins), a private university, your loans work out to more than my total cost for tuition for four years (2004-2008). Even looking up their current rates, the average four year tuition after student aid is ~130k. Without any student aid, it hits ~$200k.
> that the sampling done on mainland China (Beijing, Jiangsu, Guangdong and Shanghai) and other cities was not taken from a wide variety of schools. Rather, the very best schools were chosen and the very best students were cherry-picked from those schools.
So this is more than just focusing on Massachusetts, this is picking only the best students from the best schools in Massachusetts.
https://www.forbes.com/sites/realspin/2017/01/04/are-the-pis...