SpongeBob, the title cheery yellow character, appears outside his pineapple-shaped home, while Mr. Krabs, SpongeBob’s cranky boss, is at the Krusty Krab restaurant he runs. But unlike in the show, the characters in the videos aren’t singing jolly songs about life in the underwater city of Bikini Bottom. Instead, they’re rapping about drugs and guns.
Source: AI’s quiet creep into music punctuated by ‘SpongeBob’ voices and a secretive artist called Glorb
In this era, where AI capabilities seem boundless, human time emerges as a finite, invaluable resource. As AI assumes responsibility for routine and complex tasks alike, the focus shifts to the essence of human input — creativity, ethical reasoning, and innovation. This recalibration signifies a deeper appreciation for human attributes, underscoring the irreplaceable nature of human time and insight in a digitized world.
Source: The Intersection Of Human Creativity And AI: A Legal Renaissance
Works that humans create belong to those humans (even if they are jotted down on a napkin). Paying every creator for the rights to their work is financially infeasible for the volumes of data we need to train even a small generative AI model. So, is it fair use for us to feed other people’s work into a training data set and create generative AI models? Let’s go over the Fair Use tests and see where we land.
When an AI company doesn’t reveal its training data sources, the best chance we have of working out those sources is to use the model and see whether we can find output that resembles copyrighted material. Output that resembles copyrighted material is a strong indicator that that material was part of the training data. I, and others, have found that Suno regularly outputs music that closely resembles copyrighted material.
Stability AI has launched Stable Audio 2.0, adding key new functions to the company’s text-to-music generator. Stable Audio 2.0 features audio-to-audio generation, allowing users to manipulate any audio sample they want using text-based AI prompts. Its terms of service, however, requires that any audio uploaded to this tool is free of copyrighted material, with the tool employing a content recognition filter to ensure compliance.
Source: Stability AI Launches Stable Audio 2.0 With Audio-to-Audio Generation Feature
Large Language Models (LLMs) require large amounts of data for training. Very large. Like the entire textual content of the World Wide Web large. In the case of the largest such models — OpenAI’s GPT, Google’s Gemini, Meta’s LLaMA, France’s Mistral — most of the data used is simply vacuumed up from the internet , if not by the companies themselves then by third-party bot-jockeys like Common Crawl, which provides structured subsets of the data suitable for AI training. Other tranches come from digitized archives like the Books 1, 2 and 3 collections and Z-Library.
In nearly all cases, the hoovering and archive-compiling has been done without the permission or even the knowledge of the creators or rights owners of the vacuumed-up haul.
Companies racing to develop more powerful artificial intelligence are rapidly nearing a new problem: The internet might be too small for their plans. Ever more powerful systems developed by OpenAI, Google and others require larger oceans of information to learn from. That demand is straining the available pool of quality public data online at the same time that some data owners are blocking access to AI companies.
Source: For Data-Guzzling AI Companies, the Internet Is Too Small
The new horror film Late Night with the Devil hit theaters late last month amid a lot of really good buzz. It has a 96% on Rotten Tomatoes and has broken box office records for its distributor, IFC Films. It seemed poised to become the indie movie success story of the first half of 2024. But that buzz has curdled quite a bit once word started to circulate that generative AI had been used in the film.
Source: AI has arrived in Hollywood. It’s a lot more boring than you might think
A new tool from OpenAI that can generate a convincing clone of anyone’s voice using just 15 seconds of recorded audio has been deemed too risky for general release, as the AI lab seeks to minimise the threat of damaging misinformation in a global year of elections. “We hope to start a dialogue on the responsible deployment of synthetic voices, and how society can adapt to these new capabilities,” OpenAI said in an unsigned blogpost.
Source: OpenAI deems its voice cloning tool too risky for general release
A study on emerging public perceptions of intellectual property in UK media has found that there are “pronounced inaccuracies in the reporting on IP related matters in the UK Press.” An initial review published by the UK’s Intellectual Property Office notes that inaccurate reporting may be due to a “lack of understanding.” Further investigation would be required to find out the “cause and extent” and the subsequent impact on IP rights as understood by the public.
Source: UK Govt: “Pronounced Inaccuracies” in Press Reports on IP-Related Matters * TorrentFreak