Technologies
Google Thinks AI Can Make You a Better Photographer: I Dive Into the Pixel 10 Cameras
The camera specs for the Pixel 10 series reveal only a small part of what’s new for mobile photographers. I spoke with the head of the Pixel camera team to learn more.
If a company releases new phone models but doesn’t change the cameras, would anyone pay attention? Fortunately that’s not the case with Google’s new Pixel 10, Pixel 10 Pro and Pixel 10 Pro Fold phones, which make a few advancements in the hardware — hello, telephoto camera on the base-level Pixel for the first time — and also in the software that runs it all, with generative AI playing an even bigger role than it has before.
«This is the first year where not only are we able to achieve some image quality superlatives,» Isaac Reynolds, group product manager for the Pixel cameras, told CNET, «but we’re actually able to make you a better photographer, because generative AI and large models can do things and understand levels of context that no technology before could achieve.»
Modern smartphone cameras must be more than glass and sensors, because they have to compensate for the physical limitations of those same glass and sensors. You can’t expect a tiny phone camera to perform as well as a large glass lens on a traditional camera, and yet the photos coming out of the Pixel 10 models surpass their optical abilities. In a call that covered a lot of photographic ground, Reynolds shared with me details about new features as well as issues of how we can trust images when AI — in Google’s own tools, even — is so prevalent.
Pro Res Zoom adds generative AI to reach 100x
The new Pro Res Zoom feature is likely to get the most attention because it strives for something exceptionally difficult in smartphones: long-range zoom that isn’t a fuzzy mess of pixels.
You see this all the time: Someone on their phone spreads two fingers against the screen to make a distant object larger in the frame. Photographers die a little each time that happens because, by not sticking to the main zoom levels — 1x, 2x, 5x and so on — the person is relying on digital zoom; the camera app is making pixels larger and then using software to try to clean up the result. Digital zoom is certainly better than it once was, but each time it’s used, the person sacrifices image quality for more zoom in the moment.
Google’s Super Res Zoom feature, introduced with the Pixel 3, interpolates and sharpens the image up to 30x zoom level on the Pixel 10 Pros (and up to 20x zoom on the Pixel 10 and Pixel 10 Pro Fold). The new Pro Res Zoom on the Pixel 10 Pro pushes way beyond that to 100x zoom — with a significant lift from AI.
Past 30x, Pro Res Zoom uses generative AI to refine and rebuild areas of the image based on the underlying pixels captured by the camera sensor. It’s similar to the technology that Magic Editor uses when you move an object to another area in the image, or type a prompt to add things that weren’t there in the first place. Only in this case, the Pixel Camera app creates a generative AI version of what you captured to give the image crisp lines and features. All the processing is performed on-device.
Reynolds explained that one of the factors driving the creation of Pro Res Zoom was the environments where people are taking photos. «They’re taking pictures in the same levels of low light — dinners did not get darker since we launched Night Sight,» he said. «But what is changing is how much people zoom, [and] because the tech is getting so much better, we took this opportunity to reset and refocus the program on incredible zoom quality.»
Pro Res Zoom works best on static scenes such as buildings, skylines, foliage and the like — things that don’t move. It won’t try to reconstruct faces or people, since generative AI can often make them stand out more as being artificially manipulated. The generated image is saved alongside the image captured by the camera sensor so you can choose which one looks best.
What about consistency and accuracy of the AI processing? Generative AI images are built out of pixel noise that is quickly refined based on the input driving them. Visual artifacts have often gone hand-in-six-fingered-hand with generated imagery.
But that’s a different kind of generative AI, says Reynolds. «When I think of Gen AI in this application, I think of something where the team has spent a couple of years getting it really tuned for exactly our use case, which is image enhancement, image to image.»
Initially, people inside Google were worried about artifacts, but the result is that «every image you see should be truly authentic to the real photo,» he said.
Auto Best Take
This new feature seems like a natural evolution — and by «natural,» I mean «processor speeds have improved enough to make it happen.» The Best Take feature was introduced with the Pixel 8, letting you capture several shots of a person or group of people, and have the phone merge them into one photo where everyone’s expressions look good. CNET’s Patrick Holland wrote in his review of the Pixel 8, «It’s the start of a path where our photography can be even more curated and polished, even if the photos we take don’t start out that way.»
That path has led to Auto Best Take, which does it automatically — and not just grabbing a handful of images to work with. Says Reynolds, «[It] can analyze… I think we’re up to 150 individual frames within just a few seconds, and pick the right five or six that are most likely to yield you the perfect photo. And then it runs Best Take.»
From the photographer’s point of view, the phone is doing all the work, though, as with Pro Res Zoom, you can also view the handful of shots that went into the final merged image if you’re not happy with the result. The shots are full-resolution and fully processed as if you’d snapped them individually.
«What’s interesting about this is you might actually find in your testing that Auto Best Take doesn’t trigger very often, and there’s a very particular reason for that,» said Reynolds. «Once the camera gets to look at 150 items, it’s probably going to find one where everybody was looking at the camera, because if there’s even one, it’ll pick it up.»
Improved Portrait mode and Real Tone
Another improvement enabled by the Pixel 10 Pro’s Tensor G5 processor is a new high-resolution Portrait mode. To take advantage of the wide camera’s 50-megapixel resolution, Reynolds said the Pixel team rebuilt the Portrait mode model so it creates a higher quality soft-background depth effect, particularly around a subject’s hair.
Real Tone, the technology for more accurately representing skin tones, is also incrementally better. As Reynolds explained, Real Tone has progressed from establishing color balances for people versus the other areas of a frame to individual color balances for each person in the image.
«That’s not just going to mean better consistency shot to shot, it means better consistency scene to scene,» he said, «because your color, your [skin] tone, won’t depend so strongly on the other things that happened in the image.»
He also mentioned that a core component of Real Tone has been the ability to scale up image quality testing methods and data collection in the process of bringing the feature’s algorithms to market.
«What standards are we setting for diversity and equity, inclusion across the entire feature set?» he said. «Real Tone is primarily a mission and a process.»
Instant View feature in the Pixel 10 Fold
One other significant photo hardware improvement has nothing to do with the cameras. On the Pixel 10 Pro Fold, the Pixel Camera app takes advantage of the large internal screen by showing the previous photo you captured on the left side of the display. Instead of straining to see details in a tiny thumbnail in the corner of the app, Instant View gives a full-size shot, which is especially helpful when you’re taking multiple photos of a person or subject.
Camera Coach
So far, these new Pixel 10 camera features are incorporated into the moment you capture a photo, but Reynolds also wants to use the phones’ cameras to encourage people to become better photographers. Camera Coach is an assistant that you can invoke when you’re stuck or looking for new ideas while photographing a scene.
It can look at the picture you’re trying to take and help you improve it using suggestions such as getting closer to a subject for better framing or moving the camera lower for a more dramatic angle. When you tap a Get Inspired button, the Pixel Camera app looks at the scene and makes suggestions.
«Whether you’re a beginner and you just need step-by-step instructions to learn how to do it,» said Reynolds, «or you’re someone like me who needs a little more push on the creativity when sometimes I’m busy or stressed, it helps me think creatively.»
CP2A content credentials
All of this AI being worked into the photographic process, from Pro Res Zoom to Auto Best Take, invariably brings up the unresolved question of whether the images we’re creating are genuine. And in a world that is now awash in AI-generated images that look real enough, people are naturally guarded about the provenance of digital images.
For Google, one answer is to label everything. Each image captured by the Pixel 10 cameras or touches Google Photos is tagged with C2PA Content Credentials (Coalition for Content Provenance and Authenticity), even if it’s untouched by AI. It’s the first smartphone with C2PA built in.
«We really wanted to make a big difference in transparency and credibility and teaching people what to expect from AI,» said Reynolds. «The reason we are so committed to saving this metadata in every Pixel camera picture is so people can start to be suspicious of pictures without any information.»
Marking images that have no AI editing is meant to instill trust in them. «The image with an AI label is less malicious than an image without one,» said Reynolds. «When you send a picture of someone, they can look at the C2PA in that picture. So we’re trying to build this whole network that customers can start to expect to have this information about where a photo came from.»
What’s new in the Pixel 10 camera hardware
Scanning the specs of the Pixel 10 cameras, listed below, you’d rightly notice that they match those found on last year’s Pixel 9 models, but a couple of details stand out.
For one, having a dedicated telephoto camera is no longer one of the features that separates the entry-level Pixel from the pro models. The Pixel 10 now has its own 10.8 megapixel, f/3.1 telephoto camera with optical image stabilization that offers a 5x optical zoom and up to 20x Super Res Zoom.
It’s not as good as the 48-megapixel f/2.8 telephoto camera used in the Pixel 10 Pro and Pixel 10 Pro XL (the same one used in the Pixel 9 Pros), but that’s not the point. You don’t need to give up extra zoom just to buy a more affordable phone.
Another difference you’ll encounter, particularly when recording video, is improved image stabilization. The optical image stabilization is upgraded in all three phones, but the stabilization in the Pixel 10 Pros is significantly improved. Although the sensor and lens share the same specs as the Pixel 9 Pro, the wide-angle camera in the Pixel 10 Pro models necessitated a new design to accommodate new OIS components inside the module enclosure. Google says it doubled the range of motion so the lens physically moves through a wider arc to compensate for motion. Alongside that, the stabilization software has been tuned to make it smoother.
Camera Specs for the Pixel 10 Lineup
| Pixel 10 | Pixel 10 Pro | Pixel 10 Pro XL | Pixel 10 Pro Fold | |
| Wide Camera | 48MP Quad PD, f/1.7, 1/2″ image sensor | 50MP Octa PD, f/1.68, 1/1.3″ image sensor | 50MP Octa PD, f/1.68, 1/1.3″ image sensor | 48MP Quad PD, f/1.7, 1/2″ image sensor |
| Ultra-wide Camera | 13MP Quad PD, f/2.2, 1/3.1″ image sensor | 48MP Quad PD with autofocus, f/1.7, 1/2.55″ image sensor | 48MP Quad PD with autofocus, f/1.7, 1/2.55″ image sensor | 10.5MP Dual PD with autofocus, f/2.2, 1/3.4″ image sensor |
| Telephoto Camera | 10.8MP Dual PD with optical image stabilization, f/3.1, 1/3.2″ sensor size, 5x optical zoom | 48MP Quad PD with optical image stabilization, f/2.8, 1/2.55″ image sensor, 5x optical zoom | 48MP Quad PD with optical image stabilization, f/2.8, 1/2.55″ image sensor, 5x optical zoom | 10.8MP Dual PD with optical image stabilization, f/3.1, 1/3.2″ sensor size, 5x optical zoom |
| Front camera | 10.5MP Dual PD with autofocus, f/2.2 | 42MP Dual PD with autofocus, f/2.2 | 42MP Dual PD with autofocus, f/2.2 | 10MP Dual PD, f/2.2 |
| Inner camera | n/a | n/a | n/a | 10MP Dual PD, f/2.2 |
Technologies
Google Agrees to Pay $135M in Huge Android Data-Harvesting Settlement
Google’s settlement with Android users would resolve the lawsuit and alter how the company manages its terms of service, though not all users would receive financial compensation.
Android users, take note: On Tuesday, Google reached a preliminary settlement in a class action lawsuit over illegal data collection. If it goes through, Google will pay out $135 million to Android phone users, possibly the largest settlement of this kind in history.
According to the lawsuit, starting in 2017, Google programmed its Android OS to automatically collect cellular data via carriers, with no way for users to opt out. The lawsuit asserted that this data collection occurred even when users took steps such as disabling location tracking or closing apps.
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The lawsuit also made a significant claim: that Google’s data collection practices constituted a crime called conversion. Conversion occurs when one party takes property from another with the intent to deprive them of it. No conversion cases have ever settled for $135 million.
As part of the settlement, Google has denied any wrongdoing.
«We are pleased to resolve this case, which mischaracterized standard industry practices that keep Android safe. We’re providing additional disclosures to give people more information about how our services work,» said Google spokesperson José Castañeda.
The lawsuit could have significant implications for data privacy and other data collection practices. It will also change Google’s terms of service. The company has agreed to obtain more explicit consent from Android users when first using new phones, to include a toggle button to turn off certain types of data collection, and to disclose data collection more clearly.
How do Android users know if they’ll get paid?
This is a preliminary settlement ahead of the first trial date in August, so we don’t yet know all the details. The judge will have to approve the settlement and confirm the time frame, payment method and other specifics.
Here’s what we do know: Payments would be capped at $100 per person, so no one should expect to get more than that. Also, in most cases, you have to sign up to become a part of a class action lawsuit. If you didn’t sign on to this specific lawsuit by now, you’re not likely to receive any money.
Another settlement involved ad targeting
It’s been an eventful week for Google settlements. Earlier this week, Google also agreed to a $68 million preliminary settlement in another class action lawsuit, this one involving Google Assistant (now being replaced with Gemini for Home).
Users said smart devices used Google Assistant to listen to them without their activation, leading to ad targeting based on information they hadn’t willingly shared.
In that settlement, payments will be made automatically. No claim form is required to receive a payment.
Technologies
Today’s NYT Connections Hints, Answers and Help for Jan. 29, #963
Here are some hints and the answers for the NYT Connections puzzle for Jan. 29 #963.
Looking for the most recent Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle, Connections: Sports Edition and Strands puzzles.
What a fun NYT Connections puzzle today! There’s a favorite children’s story in one group, and four classic author surnames that, naturally, don’t show up in an «author surname» category. Read on for clues and all of today’s Connections answers.
The Times has a Connections Bot, like the one for Wordle. Go there after you play to receive a numeric score and to have the program analyze your answers. Players who are registered with the Times Games section can now nerd out by following their progress, including the number of puzzles completed, win rate, number of times they nabbed a perfect score and their win streak.
Read more: Hints, Tips and Strategies to Help You Win at NYT Connections Every Time
Hints for today’s Connections groups
Here are four hints for the groupings in today’s Connections puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.
Yellow group hint: Maybe it’s Maybelline.
Green group hint: Too hot, too cold, just right.
Blue group hint: Raise a cup.
Purple group hint: They all sound like words with a similar meaning.
Answers for today’s Connections groups
Yellow group: Makeup.
Green group: Featured in Goldilocks and the Three Bears.
Blue group: Ending with drinking vessels.
Purple group: Homophones of words meaning «brutal.»
Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words
What are today’s Connections answers?
The yellow words in today’s Connections
The theme is makeup. The four answers are bronzer, foundation, liner and stain.
The green words in today’s Connections
The theme is featured in Goldilocks and the Three Bears. The four answers are bear, bed, Goldilocks and porridge.
The blue words in today’s Connections
The theme is ending with drinking vessels. The four answers are fiberglass, Silverstein, smug and stumbler.
The purple words in today’s Connections
The theme is homophones of words meaning «brutal.» The four answers are Gorey, Grimm, grizzly and Scarry.
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Technologies
Today’s NYT Connections: Sports Edition Hints and Answers for Jan. 29, #493
Here are hints and the answers for the NYT Connections: Sports Edition puzzle for Jan. 29, No. 493.
Looking for the most recent regular Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle and Strands puzzles.
Today’s Connections: Sports Edition features some tricky terms. If you’re struggling with today’s puzzle but still want to solve it, read on for hints and the answers.
Connections: Sports Edition is published by The Athletic, the subscription-based sports journalism site owned by The Times. It doesn’t appear in the NYT Games app, but it does in The Athletic’s own app. Or you can play it for free online.
Read more: NYT Connections: Sports Edition Puzzle Comes Out of Beta
Hints for today’s Connections: Sports Edition groups
Here are four hints for the groupings in today’s Connections: Sports Edition puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.
Yellow group hint: Checkmate!
Green group hint: Think Nadia Comăneci.
Blue group hint: Soccer stars.
Purple group hint: H2O.
Answers for today’s Connections: Sports Edition groups
Yellow group: Chess pieces.
Green group: Gymnastics terms.
Blue group: Premier League Golden Boot winners.
Purple group: Water ____.
Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words
What are today’s Connections: Sports Edition answers?
The yellow words in today’s Connections
The theme is chess pieces. The four answers are bishop, pawn, queen and rook.
The green words in today’s Connections
The theme is gymnastics terms. The four answers are handspring, round-off, salto and twist.
The blue words in today’s Connections
The theme is Premier League Golden Boot winners. The four answers are
The purple words in today’s Connections
The theme is water ____. The four answers are bottle, boy, hazard and polo.
Don’t miss any of our unbiased tech content and lab-based reviews. Add CNET as a preferred Google source.
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