True, if you look at YouTube, it's been getting worse and worse over time and yet people still go there, but that's also due to there being not that many good alternatives that have a bunch of content. Google has a ton of other good alternatives to compete with, so they're betting on the laziness factor and probably that people don't know better.

With the end result of enshittification, people will migrate if their experience is bad enough. Google wants to strike a balance between making as much money as humanly possible and making the search experience at least decent enough to retain the majority of their users.

Bad TL;DR:

Employers rarely get penalized for wage theft, because they settle often, especially because employees are encouraged to settle because 1) they get their money faster and 2) because the odds of the company paying go down if they don't settle.

Oregon wants to discourage companies from their current bad behavior because at the moment there's very little to dissuade a company from not paying and then settling, especially because they avoid any repercussions.

I think if this is implemented properly, both players should be acting like the trophy was a challenge to get, even rating it the same difficulty.

I'm imagining in game like Hollow Knight, boss fights have movesets, and given your internal difficulty score', harder/more varied movesets can be used.

It would be beneficial for people who don't have much experience with platformers/fighting games, and gives experienced players a challenge.

I'm not sure how them losing a part of their potential revenue stream does that...

It's not as if Google or Apple rely soley on IAPs for revenue.

All due respect (which is none), I don't care what you think. Plus, this isn't even an ad for Splunk, which you'd know if you actually read the article.

Edit: Also, it actually straight up says that the article writer works for a competitor. Braindead comment.

That's funny.

https://killedbygoogle.com/

They've always experimented with new stuff.

I just read the article, it's actually pretty interesting.

The TL;DR is that there is so much observable data out there (exponentially more than expected), that Datadog, which isn't optimized to deal with that, caused their prices to need to hike.

There are two options listed as alternatives:

1. Self host but it might not be cheaper
2. Buy into a company that is from the ground up focusing on dealing with that massive amount of data.

I will second the drying filament statement. It's genuinely shocking the difference it can make. Pretty much every metric is improved by using properly dried filament.

There are also food dehydrator mods out there on thingiverse/printables to convert a cylindrical dehydrator to work for filament without butchering the stands that come with it. Plus side is you can also make beef jerky with it :P

I think it's funny that you think any country will have even 5% of their population actually come out and protest ANYTHING.

I did some googling and in the US, the 2017 women's march was the largest march in US history with a whopping... 1.7% population participation.

And yes, there are some protests that had a big portion of their populations come out. Take 2019-2020 Hong Kong protests. Roughly 2 million people came out and protested, roughly over a quarter of the population. And you know what happened? Nothing. People were beaten, died, and China still got Hong Kong. And this was while there was still some local control of HK. Keep in mind, this is a people DEFENDING THEIR COUNTRY from an effective HOSTILE TAKEOVER and they got a quarter. A war taking .2%? Even if 1% were impacted, there's no shot people are going to risk protesting when the world is doing that for them.

I don't think the tolerances would be too bad. A lot of prints that have tight tolerances have a test piece that you print and test against a known object, which let's you adjust your print to get tighter tolerances. Once you correct for the expansion of the plastic, getting the right tolerances should be totally doable.

I think as an initial go, I would recommend just getting raspbian/Linux in general onto a pi or other board, and messing with the CLI. Just having a pi and being comfortable trying things out is huge. Plus, with it being on a micro SD card, you can very easily break things and wipe the card and recreate your setup.