Plenty of 60-year-olds play games. They were in their 20’s and 30’s as gaming matured. The N64 and PS1 target audience was people who are now in their 50’s and 60’s.

It’s an interesting thing to consider. If someone lies all the time, is it inconsistent to distrust the positive things they say but take the bad at face value?

Washington Mutual didn’t get bailed out. The feds forced Chase to buy their accounts, making it less dramatic than Leeman.

Excel functions are translated. This leads to being pretty much locked out of any support beyond documentation if your system language isn’t English.

If you haven’t, check out Combined Arms. It is an OpenRA mod that brings in a lot of units and design from RA2, Generals, and C&C3.

It’s only connected when you are pressing the spots, and they were painful to use so that they wouldn’t get pressed accidentally.

Yeah… That reads as them being ordered to guard the convoys, not bomb them at a whim.

The dev stated that it mostly exists for more performance-limited applications like mobile.

Expanse does too, though it isn’t common in that world.

Kerbal Space Program 2

Similarly, VLC names their releases after Discworld characters. It’s a fun way to make major versions feel like more than just a number increment.

It may be an anti-looting measure. If you are caught artifact-hunting without a permit, it’s assumed you were doing it for profit.

I was in a record store a few months ago, saw a copy of Switched on Bach, thought it would be interesting, and picked it up. Blew me away. Then I googled it, learned the story and how groundbreaking it was.

Now I’ve got a few albums of hers from that era. Great stuff.

There are various methods, but from a practical standpoint it is gone regardless.

They are trans.

They have two avenues to make money:

1. Sell commercial services such as customer support bots. They get customers thanks to the massive buzz their free services generated.
2. Milking investors, the real way to make money.

Generative AI doesn’t get any training in use. The explosion in public AI offerings falls into three categories:

1. Saves the company labor by replacing support staff
2. Used to entice users by offering features competitors lack (or as catch-up after competitors have added it for this reason)
3. Because AI is the current hot thing that gets investors excited

To make a good model you need two things:

1. Clean data that is tagged in a way that allows you to grade model performance
2. Lots of it

User data might meet need 2, but it fails at need 1. Running random data through neural networks to make it more exploitable (more accurate interest extraction, etc) makes sense, but training on that data doesn’t.

This is clearly demonstrated by Google’s search AI, which learned lots of useful info from Reddit but also learned absurd lies with the same weight. Not just overtuned-for-confidence lies, straight up glue-the-cheese-on lies.

The lack of pressure leads to absurd file sizes for silly things.

A few weeks ago, I needed a vector company logo, so I asked our graphics team for one. The file they sent me was 6MB. While working with it, I noticed it was actually quite clean, so I exported it as an SVG and it came out to 2KB. 1/3000th the size for the exact same graphic.

I opened their file up in a text editor and found font configs for specific printer models (in a graphic with only filled curves), conditional logic, multiple thumbnails, and other junk.

The blade and tool company.

That’s what usually happens with tarrifs. Unless there’s a ton of other competition, domestic producers just increase their prices by the same amount.