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AI and the Law – Disney, Warner Bros. Discovery and NBCUniversal sue Chinese AI firm MiniMax
On Tuesday, the three media companies filed a lawsuit against MiniMax, a Chinese AI company that is reportedly valued at $4 billion, alleging “willful and brazen” copyright infringement
MiniMax operates Hailuo AI
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Mariko Mori – Kamitate Stone at Sean Kelly Gallery
Mariko Mori, the internationally celebrated artist who blends technology, spirituality, and nature, debuts Kamitate Stone I this October at Sean Kelly Gallery in New York. The work continues her exploration of luminous form, energy, and transcendence.
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Vimeo Enters into Definitive Agreement to Be Acquired by Bending Spoons for $1.38 Billion
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ByteDance Seedream 4.0 – Super‑fast, 4K, multi image support
https://seed.bytedance.com/en/seedream4_0
➤ Super‑fast, high‑resolution results : resolutions up to 4K, producing a 2K image in less than 1.8 seconds, all while maintining sharpness and realism.
➤ At 4K, cost as low as 0.03 $ per generation.
➤ Natural‑language editing – You can instruct the model to “remove the people in the background,” “add a helmet” or “replace this with that,” and it executes without needing complicated prompts.
➤ Multi‑image input and output – It can combine multiple images, transfer styles and produce storyboards or series with consistent characters and themes. -
OpenAI Backs Critterz, an AI-Made Animated Feature Film
https://www.wsj.com/tech/ai/openai-backs-ai-made-animated-feature-film-389f70b0
Film, called ‘Critterz,’ aims to debut at Cannes Film Festival and will leverage startup’s AI tools and resources.
“Critterz,” about forest creatures who go on an adventure after their village is disrupted by a stranger, is the brainchild of Chad Nelson, a creative specialist at OpenAI. Nelson started sketching out the characters three years ago while trying to make a short film with what was then OpenAI’s new DALL-E image-generation tool.
FEATURED POSTS
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Survivorship Bias: The error resulting from systematically focusing on successes and ignoring failures. How a young statistician saved his planes during WW2.
A young statistician saved their lives.
His insight (and how it can change yours):
(more…)
During World War II, the U.S. wanted to add reinforcement armor to specific areas of its planes.
Analysts examined returning bombers, plotted the bullet holes and damage on them (as in the image below), and came to the conclusion that adding armor to the tail, body, and wings would improve their odds of survival.
But a young statistician named Abraham Wald noted that this would be a tragic mistake. By only plotting data on the planes that returned, they were systematically omitting the data on a critical, informative subset: The planes that were damaged and unable to return.
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AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
“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.”
“It’s become standard practice for technology companies working with AI to commercially use datasets and models collected and trained by non-commercial research entities like universities or non-profits.”
“Like with the artists, photographers, and other creators found in the 2.3 billion images that trained Stable Diffusion, I can’t help but wonder how the creators of those 3 million YouTube videos feel about Meta using their work to train their new model.”