There’s probably bulk pricing, but if you bought 40 drives separately thats 2,000,000USD in storage alone.

For example:

- reading an article with intermittent scrolling

- typing with periodic breaks

Sitting at 91% platform uptime over the last 90 days, which is likely inflated due to the perfect uptime over December holidays. My guess is that is attributed to an internal code-freeze and generally reduced traffic.

None of their services have 99.9% availability.

https://erikburt.github.io/TSequencer/

Comparing China and the US it seems like theres a 150 billion ton difference in the cumulative emissions.

Most recent data shows China emitting ~8 billion tons more than the US annually. At that rate that’s about ~20yrs until they flip.

China’s emissions appear to increasing exponentially YoY whereas the US has seen reductions in recent years. That makes it seem like they’d flip in less than 20 years.

Obviously, the emissions on a per capita basis are still nowhere close.

From: https://ourworldindata.org/co2-emissions

One thing I see, is that people in urban environments typically opt-in to exercise (like voluntarily going on a run). Whereas those in more rural areas have more physical demanding jobs and responsibilities.

I’m an urban-based desk jockey who exercises a lot but it doesn’t really compare to my more rurally-based friends who are on their feet working blue collar jobs 5 days a week.

Not removing it sounds dangerous though.

Unfortunately for the hoster, they either have to eat the cost of the added bandwidth from a larger file or have people complain about slow decompression.

I’d also be interested in getting a concrete reason though.

Meaning the user would have access to more of the phone’s advertised storage.

So likely much lower than that.

Can’t the same argument be made about proof-of-work? Those who have the ability to buy more compute, also benefit more.

Instead of buying GPUs/ASICs for mining you’re buying into the network you’re trying to secure.

I don’t want to take away from Game developers but as a “corporate developer” I can attest that a lot of what you said about us is blatantly false.

I’ve spent a lot of time optimizing the performance of many backend services. This is a very standard practice. Having highly performant code can save companies a ton of money on compute.

In fact I’ve worked on a stateless web server who’s architecture was completely designed around a custom chunked/streaming protocol specifically to minimize latency. All changes to the service went through rigorous performance testing and wouldn’t be released if it failed certain latency and throughout thresholds.