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Google's Project Genie generates interactive worlds

Welcome back. In its second largest acquisition to date, Apple is spending $2 billion on Q.ai, an Israeli audio technology startup. The company reportedly develops tech that reads “silent speech,” watching for subtle shifts in facial expression to better process audio. The startup’s 100 employees will join Apple to support Siri and its wearable technology. It’s another sign that Apple is intent on outsourcing its AI efforts, such as in its recent partnership with Google to use Gemini to power Apple Intelligence. Despite Apple being laggard on AI thus far, CEO Tim Cook attempted to shore up investor confidence in the company’s earnings call on Thursday, claiming that it has “absolutely the best platforms in the world for AI.” 

IN TODAY’S NEWSLETTER

1. Google's Project Genie generates interactive worlds

2. OpenAI social platform may trade data for bot control

3. Music industry remains split on AI

PRODUCTS

Google's Project Genie generates interactive worlds

Google is widening the world of world models. 

On Thursday, the company’s AI unit released Project Genie, an “experimental research prototype” that lets users create and explore virtual worlds and video-game like environments. Currently available to Google AI Ultra subscribers in the US, the system is powered by Gemini, Nano Banana Pro and Genie 3, its most powerful world model yet, released in August

Project Genie offers a number of features for users to play around with, including:

  • World sketching, in which users can prompt the model with text and images to create a “living, expanding environment;” 

  • World exploration, allowing users to navigate these developed worlds by generating paths ahead in real time based on user actions; 

  • And world remixing, letting users build on top of existing prompts to edit and curate the world to their liking. 

Google admitted that there are still some bumps to be ironed out with Project Genie, noting that generated worlds might not be completely true to life or adhere entirely to real-world physics. Generations are also limited to 60 seconds, and characters aren’t always entirely controllable.  

However, the experimental model is the latest step in its broader journey to “support [it’s] AGI mission,” the company said. “Building AGI requires systems that navigate the diversity of the real world.” 

Google’s release comes as world models receive more and more attention. Last week, Bloomberg reported that World Labs, a world model startup founded by Fei-Fei Li, Ph.D., is in talks to raise hundreds of millions at a valuation of $5 billion. AMI Labs, a world model firm founded by Yann LeCun, is also rumored to be discussing a funding round that would notch the company a $3.5 billion valuation. 

Capable of reflecting the real world physics and consequences, many are eyeing world models as the key to achieving AGI, rather than simply scaling large language models to as many parameters as possible.

Google has a number of advantages in the AI race. Its cloud prowess, internet legacy, and healthy well of cash have given it a solid foundation, allowing it to both build powerful large language models and experiment with newer technologies. Unlike other AI firms that need to primarily focus on building up their foundational models as a means of making money, Google has the leeway to branch out and try new things, whether that manifest as world models like Project Genie, physical AI like Gemini Robotics or image understanding like Agentic Vision. Along with enabling it to reach new product markets, this broad experimentation could also inch the company closer to the elusive goal of AGI.

Nat Rubio-Licht

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CONSUMER

OpenAI social platform may trade data for bot control

The Twitter-turned-X feed is riddled with bots. OpenAI’s network seeks to remedy the issue — but at what cost?

The AI company is working on a humans-first platform positioned to compete against dominant social media firms, such as X, Instagram and TikTok, according to a new Forbes report. The app is still in the early stages, with a small team of less than ten people developing it. 

The key differentiator between this platform and others is that  it may include a biometric identity component. Sources familiar with the project cited in the report said the team is considering requiring users to prove their “personhood” via Apple’s Face ID or the World Orb, an eyeball scanner developed by Tools for Humanity, a company co-founded by Sam Altman. 

World’s Orb is a sphere that includes an optical system with telephoto lens and 2D gimbal mirror, created for the sole purpose of proving humanity, according to the site. The company claims the iris image is encoded and encrypted directly to the World Orb, keeping user data safe. Naturally, concerns persist about both the privacy risks of handing over biometric data and whether it is appropriate to mandate this at all.

This report breaks as new data shows that OpenAI’s first tiptoe into the social media space, its Sora app, is declining in popularity, as first reported by TechCrunch

The Sora app, which let people share AI video and image generations, became a viral sensation upon launch in September, accruing 100,000 installs on day one despite being only available on iOS and an invite-only experience. It then climbed to one million downloads, beating a record ChatGPT set as the fastest growing app of all time. However, the app has since lost momentum as Appfigures data shows downloads fell 32% and 45% month-over-month in December and January, respectively.

OpenAI has long shown interest in launching a new social media platform, with the first reports circulating as early as April 2025. However, it doesn’t seem like OpenAI is operating out of a desire to simply enter the social media space. Rather, the company is trying to rewrite the rules of social media as we currently know them. For example, with the Sora app launch, it released a new kind of customizable recommender algorithm that could be tweaked through natural language, putting control of algorithms back in users’ hands. With this new project, it is also challenging the status quo, attempting to get rid of bots and recenter humanity. It may also be an attempt to capture some of the digital ad revenue that social media platforms dominate.

Sabrina Ortiz, Senior Reporter

TOGETHER WITH DECAGON

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CULTURE

Music industry remains split on AI

The music industry’s back-and-forth battle with AI wages on. 

On Wednesday, a coalition of music publishers including Universal, Concord and ABKCO filed a copyright infringement lawsuit against Anthropic, seeking more than $3 billion in damages over the infringement of more than 20,000 songs. According to a report from Music Business Worldwide, The complaint intensifies a lawsuit filed in October 2023, which covered roughly 500 songs and sought $75 million in damages. 

The plaintiffs told Music Business Worldwide that the lawsuit is the result of the “persistent and brazen infringement of our songwriters’ copyrighted compositions taken from notorious pirate sites.”

Along with targeting AI companies, music platforms are now targeting the AI-generated music itself: On Thursday, Deezer made its AI music detection tool commercially available to other platforms. The tool finds, tags and removes AI-generated music from its recommendation algorithm with 99.8% accuracy, according to the release. In 2025, Deezer’s tool caught more than 13.4 million tracks created using AI. 

But the music industry may be sending AI firms mixed signals. Late last year, Warner Music Group settled its lawsuits with AI platforms Suno and Udio. Universal Music Group, meanwhile, settled its own lawsuit with Udio, announcing a partnership with the startup, and forged a deal with Stability AI. 

Musicians themselves are divided on where AI belongs in their creative processes. In November, hundreds of artists, including Paul McCartney, Kate Bush and Annie Lennox, came together to create a silent AI protest album titled “Is This What We Want?” Others are opting to go with it, with artists like Liza Minnelli and Art Garfunkel partnering with ElevenLabs on a project to “co-create” studio-quality music.

What this fight boils down to is control. Record labels and publishers want control of the musical outputs that these AI models are creating, as well as any potential cash that can be made as a result. This is likely why these labels are striking deals with smaller AI firms while legally going after the big ones that can’t be so easily swayed. Artists, too, want control over these outputs, especially given the hard work and dedication to the craft that goes into writing music in the first place. Creation is the core of the music industry. Without control over that creation, the potential to make a living as a creator is existentially threatened.

Nat Rubio-Licht

LINKS

  • Airtable Superagent: The first standalone product from Airtable, a bet on “multi-agent coordination” that deploys several agents to tasks in parallel. 

  • Trinity: A 400-billion parameter open source foundational model by Acree AI, one of the largest of its kind by a US company.  

  • Mureka V8: A new audio AI model using “Music Chain of Thought” with improved human-like logic and valid musicality. 

  • Willow Voice: A voice-to-text typing experience available on mac, windows and iOS.

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The Deep View is written by Nat Rubio-Licht, Sabrina Ortiz, Jason Hiner, Faris Kojok and The Deep View crew. Please reply with any feedback.

Thanks for reading today’s edition of The Deep View! We’ll see you in the next one.

“In [Option B], the dog's scale was off. Too big.”

“When in doubt, pick the stranger-looking or uglier photo. Sorry, pup!”

“I felt AI would not put a snowflake in eye area.”

“This image felt more natural. On the other image the dog seemed a bit robotic to me, looking out of its head with black eyes like some kind of void. Also there texture on its mid belly is weird.”
“I was mislead by the way the snow is patched on the dog's body in Option A, because it does not look realistic.”

“The spread of snow on the dog looked more realistic to me.”

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