SF is highly walkable. When things are closer together, you don't *need* a car. Muni, BART, CalTrain, Uber, and Lyft all provide excellent alternatives to driving within the city. In most of the Bay Area, it is much harder to get around if you do not have a car.

As for why people would want to live there, there's lots of entertainment and social events. There are many, outstanding restaurants. There's some of the nicest beaches, parks, and views in the entire country, with many more a short distance away. There's a government that favors social equality and workers. Lots of people don't *want* to live in a suburb, and would gladly pay a lot of a smaller place to live in a downtown area.

The SF Bay Area has been gaining jobs, not losing them. https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.siliconvalley.com%2F2023%2F03%2F14%2Fbay-area-job-gain-tech-covid-layoff-google-facebook-january-economy%2F Tech workers have a greater than typical ability to work remotely because of the nature of their work, and they make up a very significant percentage of the Bay Area's employment - much more so than most metropolitan areas. The tech industry is currently in a downturn, primarily caused by a sudden drop in advertising expenditures. DC is also very tech heavy, but its economy is primarily centered around the US Federal Government. Other cities, such as Los Angeles, are less tech focused, and more focused on other industries, such as aerospace, defense, and entertainment, that are more difficult to do from home. Despite articles like this, SF is a beautiful, vibrant, and amazing city with some of the highest housing prices in the country - because people REALLY want to live there. Additionally, the tech industry had an unusual boom during COVID because of the need for its services for people who had to do work remotely. Booms never last forever, and demand in SF is returning to some approximation of normality. You would *expect* cities which have economies based on different industries to do well at different times.

Orange is very pervasive throughout Ubuntu, but isn't often used elsewhere, at least not in the US. I'm wondering if this is your favorite color, or if it is more popular in South Africa, or if there is some other reason that orange was chosen as Ubuntu's signature color/

Hi, Linus. What do you think the big challenges in OS design will be over the upcoming years? Will Linux be influenced more heavily by mobile devices, servers, or something else? What do you foresee coming along that will have the greatest impact on Linux?

They factored a composite number. Prime numbers are, by definition, not factorable.

That's impossible. It would violate the laws of thermodynamics.

I'm curious what technologies you would like to see developed next, or what you think would be most important to develop next. In other words, what do you think researchers should work on now that would be most significant?

Oh, and thank you for changing my life!

Growing up, Star Trek was one of the things that got me interested in engineering and the sciences. It made me want to see the future, or create it myself. What do you think should be done to inspire the next generation of scientists and engineers?

In how many corporate campuses do you run into people who aren't your co-workers, clients, or contractors?

Carter inherited a disastrous economy, which resulted from a prolonged war funded by future earnings. When the bill came due at the end of the decade, the economy had massive problems. Sound familiar?

I see this logic repeated a lot, but it isn't correct. It's true that Windows has the vast majority of the market share, and is therefore an inviting target. But given that Macs have approx 10% of the market share in the US, you would expect 10% of the viruses to be written for the Mac. Virus writers use Macs too. However, only a few proof of concept viruses have ever been developed for OS X, that rate has not increased as the Mac as gained market share, and none have been successful in the wild. Therefore, it seem very unlikely that OS X is as vulnerable to viruses as Windows.

Note that not all exploits are viruses. Both Windows and OS X are vulnerable to other kinds of exploits. However, because OS X ships with almost no services enabled by default and does not require them to be enabled to be functional, it's much harder to attack a default OS X configuration. Additionally, there are some fundamental differences in the behavior of programs in general on OS X. For example, Windows has a 15 year history of programs running in the background in the system tray, and an entire ecosystem has been built up around supplying small utility programs for windows that potentially create new threats or open new vulnerabilities. OS X will refuse to run any code downloaded from the Internet or installed from an outside source unless the user permits it to run first (using signed code hashes to validate the executable). It's much harder to run exploit code when the user must approve it.

It's a bug that the FF developers don't believe exists. Please see https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fbugzilla.mozilla.org%2Fshow_bug.cgi%3Fid%3D620723.

To get a sense of how long it would take to find a particular key, consider:

The key has n bits, so there are 2^n possible keys that can be enumerated with those bits.

Each processor can test m keys per second. (I'm assuming each processor has the same performance, and ignoring latency between CPU nodes, I/O latency, or anything else that might slow the system down.)

You have access to p processors.

So the time to process all 2^n keys is:

(2^n)/p*m

Note that the value of m doubles once every 18 months (due to Moore's law), so to keep the key finding time constant, you must also add a bit every 18 months. (Adding bits is fairly cheap, but developing faster processors is not!) The value of p is not all that important because p increase linearly as you add more nodes, while n and m increase exponentially. To figure out how long of a key you need for a given algorithm, you simply need to determine the amount of time that you want to keep your data secret for, and choose a number of bits such that (2^n)/p*m is sufficiently large.

I'll let you plug in the numbers and work out the exact times for your favorite system for yourself. :-)

It depends on the algorithm used, the performance of the individual nodes, the number of nodes being used in the attack, etc. Botnets vary wildly in size and performance. The Chinese supercomputer is (most likely) composed of off the shelf Intel or AMD processors. If someone used hardware custom designed to run a brute force attack, it might run much faster. (That's how some of the RSA challenge cracks were done.)

"Is it theoretically possible to derive the server's private key from a session key? How about from multiple session keys?"

Shouldn't be if you are using a well designed algorithm! If you could, that would be a major hole.