Gorilla Mother Constantly Reminding Children To Slouch The Onion
When Big Brother Has All The Cards… Libre Technology
TechCrunch: “An important step toward a more interoperable “fediverse” — the broader network of decentralized social media apps like Mastodon, Bluesky and others — has been achieved.
Now, users on decentralized apps like Mastodon, powered by the ActivityPub protocol, and those powered by Bluesky’s AT Protocol, can easily follow people on other networks, see their posts, as well as like, reply and repost them.
Those same people will be able to see the others’ posts in return, too. The technology making this possible is Bridgy Fed, one of the efforts aimed at connecting the fediverse with the web, Bluesky and, perhaps later, other networks like Nostr…To bridge an account from the fediverse to Bluesky, you simply follow the Mastodon account @bsky.brid.gy@bsky.brid.gy.
The account will follow you back. You’ll then automatically have a new, bridged account available to Bluesky users under your fediverse/Mastodon handle (where the second @ is now a dot) followed by “ap.brid.gy.” For example, if my Mastodon account is @sarahp@mastodon.social then my bridged account is @sarahp.mastodon.social.ap.brid.gy.”
Meta faces multiple complaints in Europe over plans to train AI on user data The Register
How to spot a deepfake: the maker of a detection tool shares the key giveaways Guardian
“DEAF ACTIVISTS” WILL CALL THIS GENOCIDE: Gene therapy restores hearing in children born deaf.
Researchers Use AI to Decode the Secret Language of Dog Barks Gizmodo
Why auroras look better on your iPhone’s camera than with the naked eye ZMEScience
WTF is AI?
TechCrunch: “So what is AI, anyway? The best way to think of artificial intelligence is as software that approximates human thinking. It’s not the same, nor is it better or worse, but even a rough copy of the way a person thinks can be useful for getting things done. Just don’t mistake it for actual intelligence! AI is also called machine learning, and the terms are largely equivalent — if a little misleading. Can a machine really learn?
And can intelligence really be defined, let alone artificially created? The field of AI, it turns out, is as much about the questions as it is about the answers, and as much about how we think as whether the machine does. The concepts behind today’s AI models aren’t actually new; they go back decades. But advances in the last decade have made it possible to apply those concepts at larger and larger scales, resulting in the convincing conversation of ChatGPT and eerily real art of Stable Diffusion. We’ve put together this non-technical guide to give anyone a fighting chance to understand how and why today’s AI works.
- How AI Works
- How AI Can Go Wrong
- The Importance of Training Data
- How a ‘Language Model’ Makes Images
- What About AGI Taking Over the World?
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