Good morning. Happy Friday! Nvidia’s Jensen Huang has swapped lab coats for Mar-a-Lago visits, lobbying Trump to revive China sales and keep the AI crown—because GPUs now double as “Grand Political Undertakings.”

— The Deep View Crew

In today’s newsletter:

• ✈️ AI for Good: Transportation Department using AI to prevent air traffic dangers

• 🤖 Hugging Face reveals two humanoid robots that could change everything

• 🪞 Hey AI, am I hot or…?

✈️ AI for Good: Transportation Department using AI to prevent air traffic dangers

After a string of near-misses and one tragic midair collision, the Department of Transportation is turning to AI to make flying safer.

Transportation Secretary Sean Duffy says the new system will help predict risks before they turn into disasters.

What happened: Following a January crash near D.C. that killed 67 people, Duffy announced a major overhaul of the nation’s air traffic control infrastructure. A core part of the strategy: using machine learning and language models to scan incident reports and identify high-risk “hot spots” around the country. 

The goal is to catch dangerous flight patterns—like helicopters flying too close to commercial jets—before they become life-threatening.

Rather than replacing air traffic controllers, AI is being deployed behind the scenes. It’s analyzing massive amounts of data from airports, flight paths and near-miss reports to surface actionable insights for safety officials. The FAA says it’s focusing on risk-prone areas like DCA and the Gulf of Mexico, where helicopter and plane traffic intersect more frequently.

Duffy made it clear that this isn’t about quick fixes or passing the buck: “We’re going to do the work to make sure we have a state-of-the-art system.”

Why it matters: The U.S. air traffic control system is decades old and under strain. While controller shortages remain unresolved, AI is stepping in to provide better visibility into where the most dangerous situations are happening. It’s a tech-forward way to protect lives without asking overstretched humans to do even more.

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🤖 Hugging Face reveals two humanoid robots that could change everything

Hugging Face is bringing open-source robotics to the masses.

The company has unveiled two new humanoid robots designed to lower the cost of entry into advanced AI hardware.

What happened: The newly released robots—known as HopeJR and Reachy Mini—mark Hugging Face’s latest step in democratizing robotics. HopeJR is a full-size humanoid robot with 66 independent movements, including walking and arm mobility. 

Reachy Mini is a smaller desktop model that can talk, listen, and run AI applications. Both are fully open source and priced to make robotics more accessible. HopeJR will run around $3,000 and Reachy Mini will cost under $300, depending on tariffs.

Hugging Face says these robots were made possible by its April acquisition of Pollen Robotics. The new team brought the expertise needed to take the bots from concept to production. The company has also been expanding its LeRobot platform, adding more training data and tools for robotics developers.

CEO Clem Delangue emphasized the importance of open design. The goal is to avoid a future dominated by opaque robotic systems controlled by a few major companies.

Why it matters: Advanced robotics has long been limited to well-funded labs and private industry. Hugging Face is trying to change that by making it easier for students, researchers, and hobbyists to build and test humanoid systems. With affordability and transparency at the center of their approach, this release gives more people a way to explore real-world AI.

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• Agriculture scientists testify before Congress on advancing AI in Ag

• AI meets precision medicine in neuro-oncology, raising ethical and clinical questions

• New York Times inks first AI licensing deal—with Amazon??

• Grammarly locks in $1B growth funding led by General Catalyst

• DeepSeek upgrades AI model to challenge OpenAI and Google

• A Texas cop searched license plate cameras nationwide for a woman who got an abortion

• In Dubai’s AI job market, your passport matters

• Tability: Goal-tracking assistant that helps teams set, update and align OKRs without manual check-ins

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🪞 Hey AI, am I hot or…?

Millions are now asking ChatGPT to judge their appearance—and spending hundreds of thousands of dollars based on its recommendations.

Across social media platforms, users are uploading selfies to ChatGPT and other AI tools, asking them to rate their attractiveness and design personalized "glow-up" plans. The results range from gentle skincare suggestions to recommendations for Botox, teeth whitening and even cosmetic surgery—advice that users are acting on with surprising frequency and financial commitment.

The phenomenon isn't just viral content—it's big business: Blake Anderson's Umax app, which uses AI to analyze facial features and suggest improvements, has generated $4.2 million on the Apple App Store alone and continues earning "$350 to 400k a month," according to the 23-year-old founder. One TikTok creator's AI makeover video garnered over 427,000 views, while another asking ChatGPT for glow-up recommendations drew more than 220,000 views. 

The global AI in beauty market jumped from $2.7 billion in 2023 to a projected $16.4 billion by 2033, representing a 19.8% compound annual growth rate.

The suggestions are surprisingly specific. Users report receiving detailed color analysis, hair recommendations and personalized skincare routines. One user said the AI "rated their attractiveness on a 10-point scale" and "told me I am mid and could go from a five to a seven with the help of makeup and fillers". Another creator uses ChatGPT for fitness plans and meal suggestions, asking "up to 200 questions a day" and paying $14 monthly.

Users see AI as more "objective" than friends or family: "Users see ChatGPT as a more objective measure of beauty because, unlike friends and family, it doesn't factor in qualities such as kindness or humor," said Jessica DeFino, a beauty critic who writes the Review of Beauty newsletter. DeFino explains the appeal: "Internet-era beauty standards turn the self into an object, and what better way to evaluate an object than by asking another (AI-powered) object?"

Haley Andrews, 31, "wanted the unfiltered truth about her looks and wasn't looking for nice", while others appreciate criticism without emotional complications.

But AI beauty advice carries hidden biases: "AI just echoes what it's seen online, and much of that has been designed to make people feel bad about themselves and buy more products," said Emily Pfeiffer, a Forrester commerce analyst.

The training data likely includes "online forums where people rank other people's attractiveness (largely men rating women), such as the subreddit r/RateMe" according to Alex Hanna, director of research at the Distributed AI Research Institute.

Emily Bender, a computational linguist specializing in generative AI, puts it bluntly: "We're automating the male gaze."

The mental health implications are serious: In populations seeking cosmetic procedures, body dysmorphic disorder rates rise to 16-23%, compared to just 1-3% in the general community. Forty percent of teens report that social media content causes them to worry about their image, and AI-generated beauty standards could intensify these pressures.

The emergence of "Snapchat dysmorphia" shows how digital beauty filters already drive cosmetic surgery requests, with patients showing doctors filtered images depicting exactly what they want from surgery.

Commercial incentives complicate the advice.

OpenAI recently announced updates to ChatGPT that will show products when users appear to be shopping. As "AI companies need new streams of revenue—some are spending billions to build and host AI tools", experts worry that suggestions may serve commercial goals rather than user wellbeing.

When people turn to AI for beauty advice, they're seeking honesty without emotional complications. What they receive is feedback shaped by algorithms trained on commercial beauty content and forums that often rank and objectify appearance.

The trend represents more than a shift in how we seek beauty advice—it's the automation of insecurity as a business model. As these tools become more sophisticated and commercially integrated, the line between helpful guidance and manipulative marketing will become increasingly difficult to discern.

The real question isn't whether AI can help us look better, but whether we want our self-worth determined by algorithms trained to see us as objects to be optimized rather than humans to be valued.

🤔 Your thought process:

Selected Image 1 (Left):

• “I feel like AI tries to targets our aesthetic appeal but over shoots the mark. With the last three images I've picked the less "cool" image and I've been right each time. This image is cool but not as hyper-stylized as the other one.”

• “I've taken pics that look just like the real one, so I knew it was real. The other one looks way too clean and perfect, like a car ad or something.”

Selected Image 2 (Right):

• “The wobbly lines in the real image gave me the vibe that it was AI. I’m really impressed that AI captured movement that incredibly well. ”

• “I chose the one I liked more :-)”

💭 Yesterday’s Poll Results

Do you think AI generated worlds are the future of gaming?

Yes (54%)

• It's a "Yes, and" answer - the AI can absolutely generate both detailed/ beautiful worlds, and also lower res ones that have a constantly new and evolving map, with loot drops/ monster spawn zones. However, I also enjoy videogames with storytelling - no matter how detailed the graphics are. For good storytelling, the plot / writing should be consistent, and there should be character growth for at least some of the characters during the gameplay. Even though AI can brainstorm short creative writing prompts, skilled writing currently requires human ingenuity, especially in longer formats.”

Yes, but only if it’s personalized to me (25%)

No, games are about storytelling and AI can’t do that (21%)

• “It will always be a combination of humans and AI. Ai needs creative input to be effective.”

Thanks for reading today’s edition of The Deep View!

We’ll see you in the next one.

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