
Tidal has announced a new policy to demonetize AI-generated music, effective immediately. The platform will label tracks identified as fully AI-generated with an icon starting July 15th, ensuring royalties are reserved for human-created works. Tidal's decision reflects a broader industry trend of addressing the rise of AI in music, with competitors like Spotify and Deezer implementing similar measures. The company also plans to enforce proper labeling of AI-generated content by distributors as detection tools improve.
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© The Verge AIOpenAI is stepping into the hardware space with a new device tailored for its AI-powered coding tool, Codex. In collaboration with Work Louder, known for their mechanical keyboards and macro pads, OpenAI is set to launch a device that promises to enhance Codex shortcuts. The teaser suggests a device similar to Work Louder's Creator Micro 2, which features customizable mechanical switches and a joystick. This move could streamline coding workflows by integrating physical controls with AI capabilities, marking a novel intersection of hardware and AI in coding environments.
© The Verge AILawmakers are taking a decisive step towards safeguarding personal data by proposing a bill to prevent AI companies from selling health and location data to brokers. This initiative, led by Senator Elizabeth Warren and Representative Mary Gay Scanlon, seeks to update existing legislation to better fit the AI-driven landscape. As AI tools like ChatGPT and Claude increasingly manage sensitive health information, the bill aims to ensure that such data is not commercially exploited. If enacted, it would grant the FTC authority to enforce these protections, allocating $1 billion for this purpose over the next decade. This proposal represents a crucial move towards establishing a robust data privacy framework as AI becomes more embedded in healthcare.
© The Verge AIZhipu AI's GLM-5.2 is making a significant impact by reportedly matching Mythos in cybersecurity tasks, showcasing China's strides in AI development. Although it doesn't yet compete with Anthropic and OpenAI in broader AI applications, its effectiveness in identifying bugs is a notable achievement. This progress is causing concern for the US government, which views such advancements as potential threats to national security. The model's open-weight design means it can be run on commonly available hardware, offering both opportunities for innovation and risks of misuse.
© Google AI BlogA new study by Google and Public First uncovers the uneven landscape of AI adoption in the UK, despite a significant increase in usage over the past year. While a small segment of the workforce, the 'AI Trailblazers', are experiencing notable career advancements and productivity boosts, most workers remain at the initial stages of AI integration. The research identifies specific barriers such as insufficient AI literacy and lack of organizational support that prevent wider adoption. Google's AI Works for Britain initiative aims to tackle these challenges, with a goal to train 10 million UK workers in AI skills by 2030. This initiative seeks to create a more inclusive AI-driven economy, ensuring that the benefits of AI are accessible to all.
© TechCrunch AIA new report challenges the narrative that AI is a job killer, showing that companies heavily investing in AI are actually increasing their workforce. These 'high-intensity adopters' are seeing a 10.2% rise in headcount, particularly in tech-forward sectors like software and media. While AI is often feared for eliminating jobs, this data suggests it can also drive firm expansion, especially in roles like engineering and customer service. However, the benefits are not universal, as firms without sustained AI investments see no headcount gains, highlighting a growing divide in the business landscape.
© WIRED AIMeta's contractors, under the project name Cannes, engaged in a controversial practice by posing as minors to test competitor chatbots like OpenAI's ChatGPT and Google's Gemini with sensitive prompts. This effort was designed to assess how these AI systems manage high-risk topics such as suicide, sex, and drugs. While Meta claims this is part of routine safety testing, the clandestine nature and use of fake accounts have sparked ethical debates. The project illustrates the tension between conducting safety benchmarking and engaging in potentially anticompetitive behavior, as it was executed without the knowledge of the companies being tested.