I got a job at AWS/EFS from a post here on hacker news. Stayed there almost 2 years until RTO took its toll (left early 2024). If not for that, I'd still be there... and I went in with full knowledge of all the horror stories. Perhaps the EFS org was just a diamond in the rough, but it was honestly one of the best jobs I've had. Even the on call wasn't so bad, with management taking an extremely hands-on and proactive approach to reducing operational burden. Extremely high technical bar which taught me a ton about building and operating large distributed systems. I do wonder if EFS is still run so well.
I've since been at Oracle/OCI (absolute dog shit with the worst on call I've ever seen, and I've been in the military lol), and now at Microsoft/Azure, which so far seems like a decent workplace.
> IOW, they're being underpaid relative to market, in exchange for ownership, expecting to get more later when they sell the shares. So far so good, but how does this look when the business has a rough patch, even one that's not their fault?
I've been saying this for years: climate science isn't science (in the falsifiable sense), climate is nonlinear and humans don't like to rock the boat. This is especially true with a big, cross-disciplinary project like the IPCC report.
(Yes, I understand parts of climate science are falsifiable... I'm at least semi-educated as a former meteorologist and former PDE guy. But the conclusions of the IPCC report are not testable.)
Kind of like how biology isn't a science? Because observations doesn't count, since they are not testable?
This is just playing with words. That 'science' must be 'testable' or it is not science, and all other fields that either have observations, or theory, is not 'science'.
This is a good one, but I think my point is that the original doesn’t stand up to copyright in the first place - so transformative use wouldn’t apply if that was the case
I live in one of four US states where you must be 18 to get married. Most other states have "parental consent" laws that allow you to get married at age 16.
Then we can combine AD and numerical solvers like is found in modern weather and climate models. I don't quite understand but it has something to do with sensitivity analysis and improving data assimilation. (Google "4dvar ecmwf" for more details... eg: https://www2.atmos.umd.edu/~dkleist/docs/da/ECMWF_DA_TUTORIA...)
I think the idea is to use the "tangent linear model" to decide how much importance to give to a particular observation of the initial state.
I've since been at Oracle/OCI (absolute dog shit with the worst on call I've ever seen, and I've been in the military lol), and now at Microsoft/Azure, which so far seems like a decent workplace.