bracketfocus

They are likely 200USD+ per TB, so one 250TB drive would be ~50,000USD.

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

From what I understand, the laptop will reduce the refresh rate (of the entire display) to as low as 1Hz if what is being displayed effectively “allows” it.

For example:

- reading an article with intermittent scrolling

- typing with periodic breaks

https://mrshu.github.io/github-statuses/

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.

You’d think being charged 1,500 per month for “near zero usage” would motivate you to dig.

How progressive!

Nice. I made something similar ~6 years ago, yours is a lot better though.

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

Your claim doesn’t seem as definitive as you present it, for China and US at least.

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

The pressure inside the bottle is the same as the outside. So it’s not the same as stomping on an empty bottle.

That probably means you are an outlier.

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.

I know very little about MRIs, but it seems likely that they could recalibrate the machine and effectively adjust for something small.

Not removing it sounds dangerous though.

It is fairly short, but seems like enough time to get a baseline of habits across nearly 90,000 participants.

This makes sense. A lot of end-users have internet speeds that can outpace the decompression speeds of heavily compressed files. Seems like there would be an irrational psychological aspect to it as well.

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.

The author guessed it was a result of database contention.

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

Yes, but if the phone shipped with less bloatware on the system partition, then maybe that partition would be made smaller initially.

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

But if the system partition could be smaller, other partitions could be larger.

They mentioned that it was 20% efficient at a closer distance.

So likely much lower than that.

What’s with the hate for proof-of-stake? Seems like the hate is directed towards the fact that those have more to stake, benefit more.

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.

The comment reads as ragebait or sarcasm but I actually can’t tell.

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.

I’ve been using a macbook as my main driver for 5 years, never had an issue.

https://github.com/features/preview/immutable-actions

They are actually releasing this very soon. I’ve seen some of my workflows use an immutable OCI image for some of GH’s actions like actions/checkout.

According to the workflow file, you’re using self-hosted runners…

If we already have some EKS clusters setup, is there a benefit to this over Actions Runner Controller (ARC)?

https://github.com/actions/actions-runner-controller