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The NYC version has a wikipedia page[0]. The record is Kate Jones, in 22 hours, 14 minutes, 10 seconds.

0: https://en.wikipedia.org/wiki/Subway_Challenge


RCS is unencrypted unless you use Google's closed garden Google Messages' extensions.

Apple is apparently working with GSMA to add encryption to the standard though. (They probably wouldn't add RCS otherwise.)


They would if a regulator made them. They're adding it because China requires it.


ChatGPT won't really help you improve your writing. It's got a terribly standard and boring voice. Most of the time generates 5 paragraph essays that make it super easy to sniff out. It might give you a couple common words it found in its training data to use, but you should stick to your elongated thoughts. Reading your writing out loud and editing will be just as good if not better than ChatGPT. Your comment here is pretty good. The first reply you made sounds... soulless.


I'd estimate there's been a total of about 5 minutes of scenes with zombies in the last... 3 episodes?


Don't need the zombie trope. Try Stephen Baxter's "Flood", for a refreshing different one.


Also related: companies that think because they have a slack thread discussing a design they have documentation. Hard to find that thing 3 or 4 months later.


Even harder when you've turned on Slack auto-delete for "security reasons."

Really Slack is more approaching IRC when configured like that, except I could still scroll back my IRC client. In Slack they're just _gone_.


Or your company hasn't paid for the 'good' version and the all the old conversations past a certain date are consumed by the Langoliers.


Relative to the prediction side (which Dark Sky is arguably most known for): Every day, NOAA collects billions of data points (20 TB) of data about the planet's weather, and throws it into their supercomputers to make a forecast. NOAA has the 49th and 50th fastest computers in the world. In fact, the two major applications of the original supercomputers were nuclear physics and the weather.

They make it all available at https://www.noaa.gov/nodd/datasets, but as noted - since the data is so incredibly large and NOAAs already running stats on it... you can't really outcompute them.

[There are very very few CS applications with both a) more computing power and b) more real world impact than predicting weather and hurricanes. Maybe cancer research.]

20TB source: https://www.nesdis.noaa.gov/news/data-dive-five-noaa-databas...


The docs, always the first place to look: https://docs.docker.com/network/iptables/



I know that by god my entire user history is turning into this type of comment, but you should read Baudrillard's Simulation and Simulacra.


Twitter will survive, and several other large technology companies will suddenly realize they only need about half the people they have to make money.



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