For context: Ross Scott made a video explaining the situation. The Commission has been meeting with lobbyists frequently and had been essentially stonewalling the initiative for some time now. This was the expected outcome.

However, he still has the support of the European parliament, so they will seek to amend an existing law (which can be done through the Parliament), rather than create a new law (which must be done through the Commission). There is high confidence that this will happen, this path will just take longer

Explanation:

If you want to do gene editing, you’ll need to get your gene into your cell. Viruses are really good at doing exactly that, so a lot of modern gene editing technology revolves around putting genes into modified viruses, then infecting your cells with those modified viruses.

As it turns out, a lot of cells also have a lot of anti-viral mechanisms. One of them is called the RNAi system. Basically, if the cell detects foreign DNA, the cell automatically assumes that that DNA is from a virus and shuts down any and all production of whatever gene happened to be in that DNA.

This can have amusing consequences, because if you manage to trick the cell into thinking that its own genes are a virus, you can effectively block the cell from expressing its own genes. This effect was discovered when scientists tried putting a purple gene into a flower, which inadvertently caused the flower to think that its own purple gene was a virus. The end result is that the flower turned white.

This effect turns out to be incredibly useful for scientific research, because it allows scientists to suppress any gene without needing to go through the hassle of gene editing the cell

I considered it, but we’re so early in the exponential rise that I didn’t think it would matter significantly unless you really wanted to do some future extrapolation

It seems that the lag period (pre-Steam Deck) is causing the exponential fit to not be that good. Can you try fitting only to data from the past 4 years to see if the fit is better?

Edit: Was easy enough for me to do, and I had the software to do it, so I did it.

Details:

Fitted entire dataset with a non-linear regression (minimizing sum of squares), with the given model:

Y = baseline + Y0 * exp(k*t)

Fitted equation was determined to be Y=0.7717 + 0.04451 * exp(0.04677 * t)

With this fit, doubling time is 14.82 months.

R^2 is 0.8851

95% CI:

baseline = 0.6029-0.9093

Y0 = 0.01744-0.1023

k = 0.03749-0.05734

Doubling time = 12.09-18.49

Edit 2: if we do a bit of the statistical funny, we can plug the equation into Desmos and try to extrapolate:

With this data, we can estimate that Linux usage will hit a solid 5% on Steam after ~97 months (most recent datapoint is month 91 in my dataset), which should correspond to ~November 2026. If we extrapolate farther into the future, we can estimate that Linux will hit 10% at ~114 months, which corresponds to ~March 2028

Context?

My understanding is, this is a very common cause of death among divers. The pressure doesn’t kill you, but it gets you stuck long enough that you suffocate. Because even if safety teams are notified immediately, getting you out is difficult enough that they might not be able to get you out in time before you die

Cut vertically (with the veins). You basically get no stinging that way (until you start cutting horizontally)

Sure, but learning tends to be easier when there’s a practical application to the things you’re learning

Nine sols. A metroidvania with parry-based combat and insanely good plot.

This trick also works for a lot of other non-steam games - always good to keep this trick in your hat

Have you tried Krita? It’s made for digital art, but I find that the UI is pretty similar to Photoshop, so I like it for image editing

Freddy Fazbear’s Pizzeria finds a new animatronic