impressive output, but I’m increasingly skeptical that Google will ever release any of this work #
scroll up to read this animated comic about two trees talking to each other via FlowingData #
text-to-audio model, love the nonsensical speech #

AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability

Yesterday, Meta’s AI Research Team announced Make-A-Video, a “state-of-the-art AI system that generates videos from text.”

Like he did for the Stable Diffusion data, Simon Willison created a Datasette browser to explore WebVid-10M, one of the two datasets used to train the video generation model, and quickly learned that all 10.7 million video clips were scraped from Shutterstock, watermarks and all.

In addition to the Shutterstock clips, Meta also used 10 million video clips from this 100M video dataset from Microsoft Research Asia. It’s not mentioned on their GitHub, but if you dig into the paper, you learn that every clip came from over 3 million YouTube videos.

So, in addition to a massive chunk of Shutterstock’s video collection, Meta is also using millions of YouTube videos collected by Microsoft to make its text-to-video AI.

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another text-to-video model announced today that can handle long videos with multiple prompts, check out the two-minute example #
48K OS for the NES featuring “two core applications, the word processor, and the settings” via arstechnica.com #
impressive open-source web frontend for 20+ emulated game systems and support for custom feeds #

A mysterious voice is haunting American Airlines’ in-flight announcements and nobody knows how

Here’s a little mystery for you: there are multiple reports of a mysterious voice grunting, moaning, and groaning on American Airlines’ in-flight announcement systems, sometimes lasting the duration of the flight — and nobody knows who’s responsible or how they did it.

Actor/producer Emerson Collins was the first to post video, from his Denver flight on September 6:

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surprisingly good GPT-3 powered summaries of long YouTube videos #
finally played through this Instagram series-turned-videogame and it’s brilliant #
compete with others to get from one article to another in the shortest time using only article links #
after 25 screenshot rotations, the original image is smaller than an atom #
artist Dries Depoorter used AI on video from public webcams to figure out when geotagged Instagram photos were taken via @golan #

Online Art Communities Begin Banning AI-Generated Images

As AI-generated art platforms like DALL-E 2, Midjourney, and Stable Diffusion explode in popularity, online communities devoted to sharing human-generated art are forced to make a decision: should AI art be allowed?

Collage of dozens of images made with Stable Diffusion, indexed by Lexica

On Sunday, popular furry art community Fur Affinity announced that AI-generated art was not allowed because it “lacked artistic merit.” (In July, one AI furry porn generator was uploading one image every 40 seconds before it was banned.) Their new guidelines are very clear:

Content created by artificial intelligence is not allowed on Fur Affinity.

AI and machine learning applications (DALL-E, Craiyon) sample other artists’ work to create content. That content generated can reference hundreds, even thousands of pieces of work from other artists to create derivative images.

Our goal is to support artists and their content. We don’t believe it’s in our community’s best interests to allow AI generated content on the site.

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