Dran_Arcana

When I started learning Linux at work, the game I played with myself was i'd install Debian stable minimal on my primary workstation and I would not reinstall it ever. No matter what happened, I would always fix it.

I learned to install the basic subsystems to get a GUI and audio, learned the fun of Nvidia drivers to get xinerama and hw decoding working. In retrospect it seems trivial but as a new learner it was challenging and rewarding.

At one point I was trying to do something, and a guide online suggested installing some repo and installing newer libraries. I did so, and a week later I did a dist-upgrade (because I didn't know any better) and when I rebooted I was presented with a splash screen for "crunchbang" linux.

Figuring out how to get back to Debian without breaking everything probably taught me more about packages, package managers, filesystems, system config files, init (systemd wasn't really a thing yet) than everything else I had done combined.

For anyone wondering: 12 years into the project I had a drive from the mdadm mirror die, and while mdadm was copying to another mirror, the other drive died. I considered that a win but y'all can be the judge (no files were lost, 12yr into my Linux journey I had long since figured out automating NFS and rsync).

Can you think of a better proxy for financial stability that isn't obtrusively invasive?

I'm not saying it's perfect; I'm just saying I don't have a better idea. The intent is certainly reasonable.

"Open source" in ML is a really bad description for what it is. "Free binary with a bit of metadata" would be more accurate. The code used to create deepseek is not open source, nor is the training datasets. 99% of "open source" models are this way. The only interesting part of the open sourcing is the architecture used to run the models, as it lends a lot of insight into the training process, and allows for derivatives via post-training

It's a little deeper than that, a lot of advertising works on engagement -based heuristics. Today, most people would call it "AI" but it's fundamentally just a reinforcement learning network that trains itself constantly on user interactions. It's difficult-to-impossible to determine why input X is associated with output Y, but we can measure in aggregate how subtle changes propagate across engagement metrics.

It is absolutely truthful to say we don't know how a modern reinforcement learning network got to the state it's in today, because transactions on the network usually aren't journaled, just periodically snapshot for A/B testing.

To be clear, that's not an excuse for undesirable heuristic behavior. Somebody somewhere made the choice to do this, and they should be liable for the output of their code.

I cut the sleeves off of mine, that was probably my crime. Sleeves are like pants; the fewer you wear the better your day is.

If your bootloader is unlocked, you can fastboot boot an image and that will only run in memory the one time, however, it will share a data partition (apps, preferences, etc) so it might not behave as well as a native install would have.

Octodad is unironically worth $10

It was an adblock-spcific paywall

What browser/adblocker(s) are you running? (For everyone else, simply blocking JavaScript on their main domain seems to do the trick)

I don't know of any off the top of my head, but with a cheap digital caliper and tinkercad, I assume you'd be able to model one fairly trivially. You could friction-fit two halves around the cable, and secure it with some simple adhesive, or some kind of simple bolt/nut fastener mount if you wanted to get clever.

Never not learn a new skill!

The canvas API needs specific access to hardware that isn't usually available via browser APIs. It's usually harder to get specific capability information from a user's GPU for example. The canvas API needs capability information to decide how to draw objects across differently capable hardware, and those extra data points make it that much easier to uniquely identify a user. The more data points you can collect, the more unique each visitor is.

Here's a good utility from the EFF to demonstrate the concept if you or anyone else is curious.

https://coveryourtracks.eff.org/

If you made that naan at home I need the recipe!