Paul McCartney has backed calls for laws to stop mass copyright theft by companies building generative artificial intelligence, warning AI “could just take over.” The former Beatle said it would be “a very sad thing indeed” if young composers and writers could not protect their intellectual property from the rise of algorithmic models, which so far have learned by digesting mountains of copyrighted material.
Source: Paul McCartney warns AI ‘could take over’ as UK debates copyright laws
Music is an inherent part of video games. Moreover, the way music operates inside video games will be a guiding light for the future of music creation. Especially when it comes to procedural music, it’s clear that this has been setting a precedent for understanding music as more fluid intellectual property. The listener becomes an influential element in how the music develops and they shape the sounds to their wants and needs.
Apollo Research tested six frontier models for “in-context scheming” — a model’s ability to take action they haven’t been given directly and then lie about it. After being told to achieve a certain goal “at all costs,” evaluators introduce contradictory information to see if the model will remove any restrictions in its path and deceive developers.
Source: OpenAI’s o1 lies more than any major AI model. Why that matters
Perplexity, the AI-powered search engine, is expanding its publisher program, with the LA Times, Adweek, Mexico News Daily, and a dozen other news outlets signing up. Publishers will share in revenue generated by ads on Perplexity, and receive metrics to track their content’s performance — as long as they don’t withdraw.
The EU’s AI Act, which went into force earlier this year, provides the most significant opportunity to advance transparency around training data to date. Amongst many other things, it mandates that developers of so-called “general-purpose AI” (GPAI) models — EU lingo for “foundation models” — publish a “sufficiently detailed summary” of the data used to train their models.
Source: How the EU AI Act Can Increase Transparency Around AI Training Data | TechPolicy.Press
OpenAI launched its video-generating tool, Sora, on Monday. But the company’s opting not to release a key feature for most users pending further testing. The feature in question generates a video using an uploaded photo or footage of a real person as a reference. OpenAI says that it’ll give a “subset” of Sora users access to it, but that it won’t roll out the capability broadly until it has a chance to fine-tune its “approach to safety.”
Source: Why OpenAI is only letting some Sora users create videos of real people
Reddit Answers will respond to users’ questions with summaries of conversations from across the social media platform, and provide links to relevant communities and posts, the company said. The chatbot can also make recommendations and suggest follow-up questions. With the AI chatbot, Reddit users can skip using Google search or OpenAI’s ChatGPT to find information and discussions on Reddit.
Source: Reddit is taking on Google and ChatGPT with its own AI chatbot
The possible use of A.I. for authenticating artworks is a topic that has made headlines in recent years but has, so far, had next to no real-world applications within the art market. Last month saw the very earliest signs that this may be changing, with Germann Auction House in Zurich pioneering the use of A.I. authentication to back the sale of three artworks.
Source: Is The Art Market Ready For A.I. Authentication? | Artnet News
A group of organisations representing musicians, authors, visual artists, filmmakers and other creatives have written to the EC’s executive vice-president Henna Virkkunen and commissioner Glenn Micallef to reiterate their key lobbying points on AI. The letter outlines some of the gaps they see in current legislation – for example the ability for rightsholders to reserve their rights when it comes to AI training – and calls for further steps beyond this year’s EU AI Act.
Source: Creative bodies press EC on regulation of AI and copyright
Giving artificial intelligence models consent to use content for training is a “perfect use case” for blockchain technology, according to Avery Ching, co-founder and chief technology officer of Aptos. He highlighted the potential for blockchain to provide clear consent mechanisms for determining whether specific content can be used for AI training.
Source: AI training consent a ‘perfect use case’ for blockchain — Aptos co-founder