Looks good! Can’t wait til the wars over and we can finally get some nice white ones, though.

Do… Do people really think it’s their imagination?

I used to see how many “videos” I could play in my brain simultaneously and still keep track of what was happening in each. Most I was able to be satisfied with was 3.

Hadn’t ever really thought about whether other people did that or not…

So I tied and onion on my belt, which was the style at the time.

The worse results likely refers to results for advertisers but this will impact Meta’s ad revenue in the long run.

The article cited an example with almost zero sales with CPMs of $250, which is crazy high. I’d also bet the biggest chunk of advertisers using these tools don’t have sophisticated advertising strategies or resources. Many of them will probably pause these poor performing campaigns and be very restrictive with future budgets until performance improves.

In short, Meta took a lot of money in a short time but didn’t earn much money back for advertisers, so they will spend less in the future and less money make Meta sad.

Yup, I’ve got mad filters on my work email.

Yup. Currently work at an ad tech company and we just pushed a new ad surface and the executives freaking loved it. It adds on additional revenue without putting any of the current revenue at risk. Internally, the narrative was super positive while externally it was “Well, that’s kind of annoying”.

So long as user engagement doesn’t totally tank, they see it as a complete win.

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Thanks for including the list of companies with compatible devices! It wasn’t until reading your comment I realized Zigbee was more of an industry standard than rather than a single manufacturer.

I’ll be getting me one of those dongles, now.

Finally we’re asking the important questions.

This is a really interesting idea. It would address one of the biggest hurdles I’ve had with full Lemmy adoption. I find a lot of the communities for many topics can be fractured with seemingly duplicative communities. It could also allow the larger user base to decrease the dependency on a particular instance.