TuringNYC
Joined 11 years ago
Joined 11 years ago
Dealing with this IRL, here is my thought
- When you step into a tech leadership role, you inherit a bunch of contracts, e.g. with Microsoft.
- The contracts are really a set of a dozen or two dozen contracts, often 1 or 2 or 3yrs long, overlapping expirations so there is never any opportunity for a clean cut
- You are faced with either a clean break where you lose millions as you double-pay, or you just accept poor products as a necessary part of the job
- Between Entra and Dataverse and everything else, the whole system is a poorly documented bowl of spaghetti.
Also, I dont understand why Microsoft cannot just buy some of these upstarts and swap in their awesome models.
The entire salary for the resident can be earned back in 3-4 days. You still have 360 days left to pay back admin overhead, facility overhead, supplies, etc. That is earned back in the next several weeks. After that, the next ~300 days of the year are profit.
In states with balance billing, the doctor can set any price and bill you for the remaining figure with a balance bill. In NY and NJ these can be thousands or tens of thousands. If you dont pay, it goes to collection and the provider still gets 10 to 15 cents on the dollar. So no...the $75k annual salary of a resident is not a barrier to training more doctors according to any math i'm seeing. What am I missing?
What seems more likely is that supply is artificially constrained to increase scarcity and prices.
Here is inflation since
https://libertystreeteconomics.newyorkfed.org/2022/04/inflat...
Please lets have some decency towards the struggles of students
You're on a board full of technologists. Many are in SF or Seattle or NYC. A 10minute commute means you live in a 5-20 Million dollar home in SF. Not sure how realistic that is.
I work in NYC. The salary doesnt support having a home in the city. Yes, it can support a 1br apt, perhaps a 2br with roommates. Definitely not accomodations for a family.
Previously: CTO/Co-Founder @ http://www.DocHuddle.com/, bringing ML to Medical Imaging
&& Grad student at UC Berkeley - Early work on NLP for creative: https://www.deepjams.com/
Before that: Quant Exec <-- Quant PM <-- Quant <-- Quant Dev <-- Capital Markets Dev
Obsessed with Code, Coffee, ComputerVision, and Capital markets
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