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
Amazon is reaching out to news publishers about opportunities to license their content for the next generation of Amazon’s Alexa voice assistant, slated to debut next year, Axios has learned. The company plans to debut a new, smarter version of Alexa, using generative AI to power customized responses to real-time user queries about the news.
Source: Amazon eyes news partners for revamped AI Alexa voice assistant
A new report from CISAC, the global umbrella group for authors’ societies, has a sobering prediction: 24% of music creators’ revenue could be taken by generative AI by 2028. The news is almost as bad for creators in the audiovisual industry (TV, film, video, etc.). By 2028, they face a loss of 21% of the income they would have made if generative AI didn’t exist.