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AI NewsMeet the AI Startup Behind India’s Got Latent Viral Song ‘Chai Ki Tapri’
4:47 PM IST · July 20, 2026
The startup is betting that AI’s future lies beyond song generation, with agents designed to help creators produce, distribute and monetise music.
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Winning rapid chess isn't about deep calculation, but avoiding blunders and following fundamentals.
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Z.ai’s facility will train the company’s GLM models without NVIDIA hardware as Beijing accelerates investment in domestic AI infrastructure.
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Anthropic can finally start cutting checks to a group of authors and book publishers that sued the AI lab over copyright infringement. A federal judge gave final approval Monday of Anthropic’s landmark $1.5 billion settlement of a class action copyright lawsuit,Reuters reported. Judge William Alsup of the U.S. District Court for the Northern District of California issued a preliminary approval of the settlement last year, after ruling that Anthropic had illegally downloaded and stored millions of copyrighted books. Alsup has since retired and Judge Araceli Martinez-Olguin signed off on the settlement on Monday. The payout will deliver $3,000 per work across an estimated 500,000 works, shared among the authors and publishers who hold rights to them. While the settlement is believed to be thelargest in the history of U.S. copyright law,many authors and creators still don’t view it as a win. That’s because of how the legal question was resolved. Alsup sided with Anthropic on the core issue. He ruled that training an AI model on copyrighted text counts as fair use — a decision widely seen as a turning point for the AI industry. But the ruling didn’t excuse how Anthropic obtained the books in the first place. Anthropic had built its training library from two sources: books it purchased and scanned (fine), and books it downloaded from pirate sites like Library Genesis and Pirate Library Mirror. Alsup found the second method illegal on its own terms and said that piracy question could go to trial; Anthropic agreed to a settlement soon after to avoid a trial and whatever damages a jury might have awarded. While the final approval closes out this case, it doesn’t settle the legal question industry-wide because Alsup’s ruling was a single district court decision, and Anthropic’s decision to settle means the case will never reach an appeals court to become binding precedent. Other judges are still free to reach their own conclusions on their own facts, which is exactly what’s playing out elsewhere. There is still a string of copyright lawsuits against companies such as Google, Meta, Midjourney, and OpenAI over whether it’s legal to train AI models on copyrighted works. Just last week, a group of publishers and authors, including Hachette, Cengage, Elsevier, author Scott Turow, and S.C.R.I.B.E. filed aclass action lawsuitagainst Google over accusations that the company used their copyrighted works to train its AI platform, Gemini.
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Adobe is adding new AI-powered features to its experimental iOS camera app calledProject Indigo, launched last year. The app previously offered pro controls, multi-frame super-resolution, and different capture modes, and is now adding features that will use LLMs (large language models) to critique photos and provide editing suggestions. It’s also adding other AI features, like advanced object removal, depth of field generation, and the ability to add different styles to photos. Marc Levoy, the person heading Adobe’s project, had previously developed Pixel’s camera chops. He said that most generative AI tools provide prompt-based editing and, often, finding the perfect prompt to tweak a photo or get the right result can be a tricky endeavor. That’s why most of the new experimental AI features are buttons that can generate more deterministic outputs. For instance, Google’scamera coach feature for Pixel phones, launched last year, offered more generic framing suggestions. Project Indigo’s features, by comparison, are fairly descriptive and could help you learn some photography tricks, even if you don’t agree with the AI assessment. There are two features in this category. First is the photo critique, which includes a “professional” opinion about framing, lighting, colors, and emotional impact. The second is capture and edit suggestions, which give you tips about reshooting the photo on how you can change framing, exposure, and objects in the viewfinder. For instance, the app told me to remove the hexagonal white object in the frame from a photo I took. A second section tells you how you can use an existing photo to make it better using Adobe Lightroom controls. Photography apps, including Apple Photos, Google Photos, and Adobe Photoshop, have offered object removal for years. But the feature often depends on the user circling or selecting an object by drawing on the screen, which is not perfect every time. Project Indigo’s new feature gives you toggles for things to remove from an image, like people in the background, trash and trash cans, wires and poles, fences, vehicles, and other clutter. You can also describe a custom object to remove. The results of this feature are pretty impressive. The app removed my friend and the object he was holding from the background without creating any strange artifacts. The app also allows you to use AI to create depth of field for a photo to simulate a blurred background. With this new update, Adobe is also experimenting with the style transfer feature, which lets you turn your picture into tones like watercolor, pen and ink, ink line with color wash, monochromatic, and backlit subject. Some styles remind me ofthe early days of the Prisma app. With advanced models, the outputs look refined, but style transfer is not a new or useful feature. Despite Levoy’s criticism of the prompt-based implementation, Project Indigo has its own feature that lets you describe your edit. Users can use it to perform edit flows that are not available in preset tools. But this is also a potential road to slopland. The company is using Google’s Gemini-based Nano Banana for these features, but it’s open to swapping in other models, including its own Adobe Firefly model. These features, bundled under the AI playground tab, are still in a testing phase, and only select users will get access to them. These features might not ever make it to a wider audience, but it is good to see some features that can make people aware of nuances in photography, rather than just creating more slop.
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