You might find those salaries reasonable, but they’re probably double what those same occupations pay in many other (first world) countries with lower healthcare costs. Maybe the trade off is worth it, but it’s not something that can be ignored when people complain about how much more expensive healthcare is in the U.S. compared to Europe (for example).
If this kind of stuff interests you, you might want to check into the upcoming “Designed in California” podcast about Apple’s history (still on kickstarter but I think the campaign is over): http://designed.fm. I’ve listened to a few of their preview episodes already, here’s the first one: https://www.youtube.com/watch?v=OsOVyuc1v_w&t=4s
I don't think anyone is really blaming MUMPS for the limitations it had to work with 1970s tech. The story was more about how terrible it is to work with in the 2000s and the surprising fact that it's still in use today in certain niches.
Yeah, that seems to be the dominant theory, especially since the AppleTV hasn't been updated in a few years and is widely expected to be "due" for a new model within the next few months.
Mississippi, despite its much lower per capita income than California, has a much higher percentage of housing units with air conditioning (93% vs 72%). AC is now so inexpensive that whether or not a house has AC is mostly about average summer temperatures not income.
Their much hyped 10 year 100K mile power train warranty is only for the original purchaser. Once sold the warranty reverts to a more standard 5/60K term.
Agreed. I currently have a “Roku TV” that is hooked up to another Roku device, because the one built into it is so slow and outdated as to be almost unusable. The $29 (on sale) Roku stick I hooked up to it works fine. Getting a built-in Roku IMHO is a false economy, the built-in thing will almost certainly go to crap before the TV itself does.
It would be worth separating out the “traditional” data centers (which offer things like colocation, and mostly run pretty standard CPU-bound or network-bound workloads) from “AI” data centers (which have racks and racks of extremely dense GPUs or accelerators). It’s really the latter that people should be concerned about due to their much larger scale, higher power draw, and propensity to use dirty, on-site power generation.
I can't actually find anything that supports a $400M valuation. ChatGPT seems to agree, that there's no public documents supporting that valuation, and an estimate of $6-$10M year in revenue sounds in the ballpark, meaning a value nowhere near $400M. But something as high as $100M is probably appropriate if their profit margins are high, which would be expected for a franchisor.
Socials: - linkedin.com/in/scott-gerenser
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