I spent a day with the Xiaomi 17T Pro, and Leica cameras made every shot tempting


Phone camera partnership had a very rocky start. These collaborations, while bringing big names, felt vague sometimes. Simply slapping a logo on the camera module and making a few color tuning changes will have you wondering how much of it actually changes the photos you take, especially when the price of a phone takes a hike.

Such partnerships have been bringing great results in the last couple of years, and a device that really made it apparent was the Xiaomi 17T Pro.

I spend a day shooting with it, moving between outdoor portraits, cafe shelves, product displays, and dimly lit corners of a bar. What pulled me to the experience wasn’t the realistic colors or camera specs; it was the character. Each shot has a texture to it, a mood to the shadows, and a sense of intent that had me looking for the next frame.

I’ve always had a soft corner for Xiaomi’s Leica collaboration. Zeiss, Pantone, and Hasselblad partnerships all have their own flavor across different brands, but Xiaomi’s Leica tuning feels more like a unique shooting experience. The Xiaomi 17T Pro has a triple camera system with a 50MP main camera, a 50MP 5x periscope telephoto, and a 12MP ultra-wide-angle lens.

Leica sets the mood

I primarily shot with the Leica Authentic mode, which immediately gives the phone its personality. It leans into deeper contrast, darker shadows, and a more dramatic interpretation of the scene. The result is not always what I would call color accurate, but accuracy is not always the most interesting thing a phone camera can chase.

You can see the difference between Leica Authentic and Leica Vibrant in the bread rack shots. It is very easy to spot. Authentic pulls the scene into a warmer, more restrained, slightly moodier frame. Colors are controlled, and indoor light looks less punchy. But the image has more atmosphere. Meanwhile, Vibrant lifts the colors and makes the packaging pop more, which is useful when you want a cleaner, brighter social-media-ready shot.

I enjoyed having both options because they do not feel like throwaway filters. They change the personality of the image before you even start editing.

The portrait under the yellow flowers also shows what this camera can do when the scene has a bit of natural layering. There’s solid background compression and separation, the greenery paired with the flowers, and the street behind all come together with software to make the image feel less like a random phone snap.

This shot also leads to Xiaomi’s new talking point with the 17T series, which is the Leica Live Moments. It works similarly to Live Photos or Motion Pictures, capturing a short video along with the quick image capture. This lets you choose the highlight of the moment and even set it as the cover. It came in handy plenty of times, letting you choose between distinct shots of the same frame.

Looking through a cinematic lens

Some of my favorite shots weren’t so obvious. A bag on a chair and a plant against a dusty window are just two examples. From cat paintings to a chandelier in a dim room, every scene didn’t look like they came from a smartphone. There was a surprising amount of restraint, and the Xiaomi 17T Pro didn’t brighten everything unnecessarily.

The bag shot, for example, holds on to the fabric texture, the rope detail, and the light falling across the chair. The plant and window images have a hazier, almost film-like quality because the camera does not rush to clean up every bit of atmosphere. Even the low-light chandelier and bar shots carry a warm, imperfect glow that works because the image has a clear visual mood.

So I understand why some people dislike it. Shadows can stay heavy, and the processing could look a little stylized. If you want everything to be reliably consistent and social media-ready, there are iPhones and Galaxies for that. And still, I kept coming back to it because the photos weren’t disposable.

Leica makes the Xiaomi 17T Pro’s camera less generic

The Xiaomi 17T Pro is not trying to be the Xiaomi 17 Ultra, and I did not treat it that way. I stuck to the regular Leica experience, mostly bouncing between Leica Authentic and Leica Vibrant. The best phone cameras today are all technically good. They focus quickly, handle HDR well, shoot sharp images, and clean up noise better than phones from a few years ago. What is harder to find is personality.

That’s the experience the Xiaomi 17T Pro gave me during this short day out. The photos were not always perfect, and they were not always the most faithful version of the scene. But they had bite. And that is why I kept taking one more picture.



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“It was severely downgraded,” Gilbert confirms. “I never would have found it if I was just looking through Google results.” (I tried the same prompt in Gemini earlier this month, and after an initial denial, the tool also gave me Eiger’s number.)

After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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