Suno recently said 12 million people have used its platform in the less than a year that it’s been available. Now the company is taking a major step towards building a community – and towards making music creation on its platform commercially viable for its users: it’s launched a program to pay out its most popular music creators.
Source: After raising $125m, AI music generator Suno is now paying its most popular creators
In a post on its official blog, DeepMind says that it sees the tech, V2A (short for “video-to-audio”), as an essential piece of the AI-generated media puzzle. “Video generation models are advancing at an incredible pace, but many current systems can only generate silent output,” DeepMind writes. “V2A technology [could] become a promising approach for bringing generated movies to life.”
Source: DeepMind’s new AI generates soundtracks and dialogue for videos | TechCrunch
To create powerful AI models, you need mountains of good data. Amazon is going to great lengths to collect this type of valuable information. The company recently told employees to sign up for Microsoft’s GitHub software-development platform and share their accounts so Amazon can scrape data from GitHub more quickly, Business Insider has learned. This is a key step in Amazon’s efforts to train its upcoming in-house AI model.
Source: Amazon’s secret GitHub data grab
For a hot second there, Adobe enjoyed a unique niche within the generative AI industry thanks to its Firefly AI and Stock image hosting platform, which was trained on the company’s proprietary and “commercially safe” dataset of licensed images. Now, Getty Images is getting in on the game and launching a rival model. PicsArt, the AI-powered online image and video-editing service, announced that it will be partnering with Getty to build and train a generative AI based on Getty’s exclusive library of photo and video content.
Source: Adobe’s Firefly AI is getting competition at the worst time | Digital Trends
What if each time you watched a movie, it played out differently? That’s the idea behind generative film, a new genre that some filmmakers are starting to experiment with. The idea is to use AI to mix up scenes and create completely different versions of the same movie each time it is played. So far, there’s only been one film created like this and that’s a new documentary designed to take audiences on a deep dive into legendary music industry icon Brian Eno’s career.
Source: Movies may soon use AI to change the story each time you rewatch
In a letter addressed to Shira Perlmutter, the US Register of Copyrights, Congressmen Ted Lieu (D) and Adam Schiff (D), plus Senator Marsha Blackburn (R), raised questions about whether Spotify’s new practice is in line with the spirit of the Music Modernization Act (MMA) of 2018. The bipartisan group of lawmakers highlighted the long-standing challenges faced by songwriters in receiving fair compensation under the compulsory licensing system.
The string of pop flops is the latest evidence of how difficult it has become for the music business to generate the kinds of genuine moments that turbocharge sales and move the cultural needle, music executives say. Making pop hits has always been a crapshoot. But today, with the world awash in content, TikTok rewriting labels’ playbooks and listeners burrowing deeper into their own personalized niches, even avid pop fans don’t recognize what’s in the Billboard top 10.
Musical AI, formerly known as Somms.ai, has launched a new rights management platform designed to allow proper attribution and compensation for the use of copyrighted works in AI training and generation. The platform addresses a growing concern in the AI space: the lack of a system for attributing and licensing copyrighted material used to train AI models, said Musical AI on Wednesday (June 12).
The dramatic impact of Google‘s AI-written summaries on search result visibility for publishers has been revealed through exclusive new research. A Press Gazette-led investigation has found that AI-written summaries were returned for nearly a quarter of news-related search queries in mid-May in the US, with the result that organic links to publisher articles were pushed far down the page.
Source: ‘Devastating’ potential impact of Google AI Overviews on publisher visibility revealed
Meta has apparently paused plans to process mounds of user data to bring new AI experiences to Europe. The decision comes after data regulators rebuffed the tech giant’s claims that it had “legitimate interests” in processing European Union- and European Economic Area (EEA)-based Facebook and Instagram users’ data—including personal posts and pictures—to train future AI tools.
Source: Meta halts plans to train AI on Facebook, Instagram posts in EU