I ran out of crtcs, but I wanted another monitor. I widened a virtual display, and drew the left portion of it on one monitor, like regular. Then I had a crown job that would copy chunks of it into the frame buffer of a USB to DVI-d adapter. It could do 5 fps redrawing the whole screen, but I chose things to put there where it wouldn’t matter too much. The only painful thing was arranging the windows on that monitor, with the mouse updating very infrequently, and routinely being drawn 2 or more places in the frame buffer.

Have you tried turning them off, then turning them on again?

I think we’re still headed up the peak of inflated expectations. Quantum computing may be better at a category of problems that do a significant amount of math on a small amount of data. Traditional computing is likely to stay better at anything that requires a large amount of input data, or a large amount of output data, or only uses a small amount of math to transform the inputs to the outputs.

Anything you do with SQL, spreadsheets, images, music and video, and basically anything involved in rendering is pretty much untouchable. On the other hand, a limited number of use cases (cryptography, cryptocurrencies, maybe even AI/ML) might be much cheaper and fasrer with a quantum computer. There are possible military applications, so countries with big militaries are spending until they know whether that’s a weakness or not. If it turns out they can’t do any of the things that looked possible from the expectation peak, the whole industry will fizzle.

As for my opinion, comparing QC to early silicon computers is very misleading, because early computers improved by becoming way smaller. QC is far closer to the minimum possible size already, so there won’t be a comparable, “then grow the circuit size by a factor of ten million” step. I think they probably can’t do anything world shaking.

You can buy high (97-99) CRI LEDs for things like the film industry, where it really does matter. They are very expensive, but can pay for themselves with longer service life, and lower power draw for long term installations.

The CRI on regular LED bulbs was climbing for a long time, but it seems as though 90ish is “good enough” most of the time.

A lot of businesses use the last 4 digits separately for some purposes, which means that even if it’s salted, you are only getting 110,000 total options, which is trivial to run through.

Modern operating systems have made it take very little knowledge to connect to WiFi and browse the internet. If you want to use your computer for more than that, it can still take a longer learning process. I download 3D models for printing, and wanted an image for each model so I could find things more easily. In Linux, I can make such images with only about a hundred characters in the terminal. In Windows, I would either need to learn powershell, or make an image from each file by hand.

The way I understand “learning Linux” these days is reimagining what a computer can do for you to include the rich powers of open source software, so that when you have a problem that computers are very good at, you recognize that there’s an obvious solution on Linux that Windows doesn’t have.

Don’t joke about this, the college professors will hear you.

He only believes in the first 22 words of the first amendment. If you want to speak about what he has done, or (far worse) gather with others that share your beliefs to speak extra loud… straight to jail.

This and systemctl cat $unit are my favorites.

The problem when photon containment breaks like this is that we can never be 100% sure which photons were SUPPOSED to be there, and which ones leaked out. We’ll need a dedicated team of particle physicists with very small tweazers to have any hope of sorting out this mess.

What we have done is invented massive, automatic, no holds barred pattern recognition machines. LLMs use detected patterns in text to respond to questions. Image recognition is pattern recognition, with some of those patterns named things (like “cat”, or “book”). Image generation is a little different, but basically just flips the image recognition on its head, and edits images to look more like the patterns that it was taught to recognize.

This can all do some cool stuff. There are some very helpful outcomes. It’s also (automatically, ruthlessly, and unknowingly) internalizing biases, preferences, attitudes and behaviors from the billion plus humans on the internet, and perpetuating them in all sorts of ways, some of which we don’t even know to look for.

This makes its potential applications in medicine rather terrifying. Do thousands of doctors all think women are lying about their symptoms? Well, now your AI does too. Do thousands of doctors suggest more expensive treatments for some groups, and less expensive for others? AI can find that pattern.

This is also true in law (I know there’s supposed to be no systemic bias in our court systems, but AI can find those patterns, too), engineering (any guesses how human engineers change their safety practices based on the area a bridge or dam will be installed in? AI will find out for us), etc, etc.

The thing that makes AI bad for some use cases is that it never knows which patterns it is supposed to find, and which ones it isn’t supposed to find. Until we have better tools to tell it not to notice some of these things, and to scrub away a lot of the randomness that’s left behind inside popular models, there’s severe constraints on what it should be doing.

Yeah, but then you have to limit your fashion selection! Imagine restricting yourself to wearing a hat over some silly fear of death.

Last time I tried freecad, the geometry solver was incorrect, so it would sometimes create two (or more) shapes from a fully constrained part. Since learning about openSCAD, I’ve seen no reason to give it another try.

Ok, so I think the timeline is, he signed up for an unlimited storage plan. Over several years, he uploaded 233TB of video to Google’s storage. They discontinued the unlimited storage plan he was using, and that plan ended May 11th. They gave him a “60 day grace period” ending on July 10th, after which his accouny was converted to a read only mode.

He figured the data was safe, and continued using the storage he now isn’t really paying for from July 10th until December 12th. On December 12th, Google tells him they’re going to delete his account in a week, which isn’t enough time to retrieve his data… because he didn’t do anything during the period before his plan ended, didn’t do anything during the grace period, and hasn’t done anything since the grace period ended.

I get that they should have given him more than a week of warning before moving to delete, but I’m not exactly sure what he was expecting. Storing files is an ongoing expense, and he’s not paying that cost anymore.