gedaliyah

joined 3 years ago
[–] gedaliyah@lemmy.world 19 points 8 hours ago (1 children)

We GET it. You vape.

[–] gedaliyah@lemmy.world 3 points 1 day ago

This is actually a really interesting article.

It looks at how social media has evolved, who owns it, and whether it is fundamentally still "social."

[–] gedaliyah@lemmy.world 2 points 1 week ago (1 children)

Sure, this small and mid-size services are just fine for backing up your data, and should surely be used as such. But using "cloud services" is nonsense. Too bad it has such good marketing.

[–] gedaliyah@lemmy.world 77 points 1 week ago (18 children)

I'm increasingly convinced that "The Cloud" is just a scam. Just keep your own files.

[–] gedaliyah@lemmy.world 26 points 1 week ago

The word Soccer comes from England, too. It's a Britishized version of "association football" with a typical R appended.

[–] gedaliyah@lemmy.world 4 points 1 week ago

Yes, exactly. Several photo gallery apps do this.

[–] gedaliyah@lemmy.world 4 points 2 weeks ago

Once the technology exists, we need clanker laws.

Make it illegal to generate ML output without a positive watermark.

[–] gedaliyah@lemmy.world 59 points 2 weeks ago (6 children)

Projectivity is another great option, especially if you want a few more options without anything you don't want.

[–] gedaliyah@lemmy.world 6 points 2 weeks ago

Why do either?

[–] gedaliyah@lemmy.world 13 points 2 weeks ago (2 children)

Still better than ghosting I usually get.

[–] gedaliyah@lemmy.world 14 points 2 weeks ago

Meta’s “financial model is to reward content creators who get engagement, and as we know, the best way of getting engagement is to produce rage bait, extremist material, aggravating material: anything that will get people upset and arguing is the best way to get engagement.”

That tracks.

 

Current AI, a non-profit building AI that leaves no one culture behind, has made remarkable progress across devices, AI chat and more.

 

This four-week consultation on open source software tackles the cloud, AI, cybersecurity, and automotive sectors.

 

“We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input.”

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