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Read full article about: Apple puts AI disclosure responsibility on labels and distributors

Apple Music is rolling out Transparency Tags that let labels and distributors flag AI-generated content across four categories: Artwork, Tracks, Compositions, and Music Videos. Music Business Worldwide reported the news, citing a newsletter to industry partners. The tags are optional for now but will become mandatory later - putting disclosure responsibility on suppliers, not the platform.

Per Apple's spec, labeling is required when AI generates a "material portion" of the content. The "Composition" tag covers lyrics too, not just melody or instrumentation. "Artwork" applies at the album level, including animated covers, while "Track," "Composition," and "Music Video" are defined per song.

The timing matters. Suno recently hit $300 million in annual revenue but faces a legal battle with the music industry. Universal Music struck a deal with Udio, focusing on licensed AI partnerships. And AI songs are reaching more users than ever - Google recently integrated its music generator Lyria 3 directly into the Gemini app.

Read full article about: Alibaba's chief AI developer quits, taking key team members with him

Alibaba's lead AI researcher Junyang Lin has unexpectedly resigned. Lin was the driving force behind Alibaba's Qwen model series and shaped the company's open-source strategy. According to Chinese technology portal 36Kr, several core team members followed him out the door, including Binyuan Hui (Qwen coder), Bowen Yu (post-training), and Kaixin Li (Qwen 3.5/VL). A number of younger researchers reportedly also quit on the same day.

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Alibaba CEO Eddie Wu accepted Lin's resignation and announced a new "Foundation Model Task Force," which he will lead alongside CTO Zeming Wu and Jingren Zhou, The Information reports. The company says it plans to double down on open source and ramp up AI investments. "In technology, standing still means falling behind," Wu wrote in a memo to the team. "In technology, standing still means falling behind. Advancing foundation models is a core strategic priority for our future."

Read full article about: OpenAI's Codex app lands on Windows after topping a million Mac downloads in its first week

OpenAI has released its Codex app for Windows. Codex is an AI-powered coding tool that helps developers build software by running multiple agents asynchronously across projects, delegating repeatable tasks through Automations, and connecting agents to tools and workflows via Skills. Developers can review, guide, and step into agent work without losing context.

For the Windows version, OpenAI built its own sandbox that operates at the OS level with restricted tokens, file system access rights, and dedicated sandbox user accounts. This lets AI agents run directly in Windows environments like PowerShell without forcing developers to switch to WSL or virtual machines. OpenAI has published the sandbox code as open source on GitHub.

The Windows app arrives a few weeks after the Mac version, which was downloaded over a million times in its first week, according to OpenAI. More than 500,000 developers had already signed up for the Windows waiting list. OpenAI says Codex now has over 1.6 million weekly active users total. The app is available across all ChatGPT plans.

Read full article about: Meta signs multi-year AI deal with News Corp worth up to $50 million a year

Meta has signed a multi-year AI licensing deal with News Corp that will pay the Wall Street Journal's parent company up to $50 million annually. The contract runs at least three years and covers content from the US and UK, reports the Wall Street Journal. Meta can use current content for its AI products and tap article archives for training. News Corp already has a deal with OpenAI worth over $250 million over five years. Meta has also signed agreements with CNN, Fox News, and other outlets.

These deals are a mixed bag for the media industry. They bring in revenue for participating publishers during tough times but risk shrinking media diversity by squeezing out those not at the table. They also give platforms more leverage, letting companies like Meta increasingly set the terms. And because contracts are negotiated one by one, they split the publishing landscape in ways that make it harder for the industry to push for better conditions together.

Comment Source: WSJ
Read full article about: GPT-5.4 reportedly brings a million-token context window and an extreme reasoning mode

OpenAI's GPT-5.4 could be the leap forward that the just-released 5.3 Instant for ChatGPT wasn't. The model should drop "sooner than you think," according to OpenAI, but no official details have been shared yet.

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According to The Information, GPT-5.4 will feature a one-million-token context window, more than double the 400,000 tokens in the current GPT-5.2. That would put OpenAI on par with Google and Anthropic. The model is also expected to be more reliable and make fewer mistakes on longer tasks that can run for several hours, which matters especially for tools like OpenAI's Codex programming agent.

One notable addition is an "extreme" thinking mode that lets the model burn significantly more compute on tough questions. This mode is aimed at researchers rather than everyday users who want quick answers. According to The Information, the more frequent model release cadence is designed to keep expectations in check. The hype around the GPT-5 launch set the bar so high it was nearly impossible to clear, and OpenAI's user growth has recently fallen short of internal projections.

Supreme Court AI copyright decision sounds sweeping but actually settles very little

AI inventor Stephen Thaler wanted the US Supreme Court to recognize a machine as the sole author of an image. The court refused, but the ruling only covers this extreme case. It says nothing about whether people can claim copyright for work they create with AI tools.

Read full article about: Meta creates new applied AI engineering division

Meta is building a new applied AI engineering organization, according to an internal memo obtained by the Wall Street Journal. The new teams will be led by Maher Saba, currently a vice president in Meta's Reality Labs division, and will report to CTO Andrew Bosworth.

The structure is designed to be extremely flat, with up to 50 employees per manager. The new division will work alongside Meta's Superintelligence Lab to build the "data engine" that speeds up improvements to Meta's AI models.

According to Saba, the organization consists of two teams: one focused on interfaces and tools, and another on tasks, data collection, and evaluations.

Meta restructured its AI operations last summer, creating the Superintelligence Lab under former Scale AI CEO Alexandr Wang. CEO Mark Zuckerberg announced in January that the company would release new models and products in the coming months.

Comment Source: WSJ