If you’ve been on Instagram in the past 48 hours, you will more than likely have seen the AI-generated “All Eyes on Rafah” image. It’s now been shared more than 44 million times.
Having a relatively palatable AI image go viral, while real on-the-ground footage is regularly being hidden by Meta’s algorithm, has caused real debate online. Some are calling it performative, while others believe that “regardless of the means, the message and momentum is needed.” @Mashable has more.
"On Wednesday, the saying was once again trending, this time through what appears to be an #AI -generated image showing a field of refugee tents spelling out “All Eyes on #Rafah.” One version of the graphic has been shared more than 38 million times on #Instagram."
What’s with #instagram ??
Couldn’t sign up the other day as I got instantly banned - no way of appealing cos I can’t login. Tried another email address today and the same happened?! Their website or something I did?? No way of contacting them either.
It might be obvious and old news, but on my rare logins to #Instagram I saw a new message of their privacy policy to be updated this month: Every content from every post will be used to train their AI.
If you are a visual artist of any kind and use the platform, #Meta will use your creation against you, literally. You either learn how to publish and own your data, or you’ll be stolen.
🤖 Ich will nicht, dass Meta mit meinen Instagram-Inhalten seine KI trainiert. Deshalb habe ich erfolgreich widersprochen.
👉 So geht‘s: Auf dem eigenen Account im Burgermenü rechts oben den Punkt „Info“ (ganz unten) auswählen, dort zur „Datenschutzrichtlinie“ und das Wort „Widerspruchsrecht“ anklicken, Formular ausfüllen, abschicken, Mail-Adresse verifizieren.
⏳ Mein Einspruch wurde innerhalb weniger Minuten per Mail anerkannt.
Auf der Suche nach einem Publikum gehen einige Medien den Schritt ins Fediverse. Ein Versuch, unabhängiger von den großen Gatekeepern zu werden.
"Cox said that Emu can make “really amazing quality images” thanks to “Instagram being the data set that was used to train it” which he described as “one of the great repositories of incredible imagery.”"
This is a great reason for people to switch over to alternatives like #Pixelfed