T4UTV1S

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 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.

It's an insight because many people can't drop thousands on top of the line gear. Yes streaming is expensive, but if a family has disposable income, odds are they're going to go for the lower hanging fruit and just get the streaming package, because the alternative is saving for X months/years for parts that are going to be useful, yes, but also completely wipe out savings.

I feel that. One of my first raspberry pi projects was a magic mirror, it's basically a pi hooked up to a display and you can program in modules to display custom data, like a weather forecast for your area along with your Google calendar showing the upcoming appointments.

I'd say a raspberry pi 4B with at least 2GB of ram is fine, but upping the ram will let you do more with it.

Docker projects are also fun, like making a pihole.

These projects have lots of documentation and support, so you're always a Google search away from help.

Yeah, if you're not looking for the latest and greatest pi out there, it's actually pretty easy to get your hands on one