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
A New Bill Aims to Ban Both Adult Content Online and VPN Use. Could It Work?
Michigan representatives just proposed a bill to ban many types of internet content, as well as VPNs that could be used to circumvent it. Here’s what we know.
On Sept. 11, Michigan representatives proposed an internet content ban bill unlike any of the others we’ve seen: This particularly far-reaching legislation would ban not only many types of online content, but also the ability to legally use any VPN.
The bill, called the Anticorruption of Public Morals Act and advanced by six Republican representatives, would ban a wide variety of adult content online, ranging from ASMR and adult manga to AI content and any depiction of transgender people. It also seeks to ban all use of VPNs, foreign or US-produced.
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VPNs (virtual private networks) are suites of software often used as workarounds to avoid similar bans that have passed in states like Texas, Louisiana and Mississippi, as well as the UK. They can be purchased with subscriptions or downloaded, and are built into some browsers and Wi-Fi routers as well.
But Michigan’s bill would charge internet service providers with detecting and blocking VPN use, as well as banning the sale of VPNs in the state. Associated fines would be up to $500,000.
What the ban could mean for VPNs
Unlike some laws banning access to adult content, this Michigan bill is comprehensive. It applies to all residents of Michigan, adults or children, targets an extensive range of content and includes language that could ban not only VPNs but any method of bypassing internet filters or restrictions.
That could spell trouble for VPN owners and other internet users who leverage these tools to improve their privacy, protect their identities online, prevent ISPs from gathering data about them or increase their device safety when browsing on public Wi-Fi.
Read more: CNET Survey: 47% of Americans Use VPNs for Privacy. That Number Could Rise. Here’s Why
Bills like these could have unintended side effects. John Perrino, senior policy and advocacy expert at the nonprofit Internet Society, mentioned to CNET that adult content laws like this could interfere with what kind of music people can stream, the sexual health forums and articles they can access and even important news involving sexual topics that they may want to read. «Additionally, state age verification laws are difficult for smaller services to comply with, hurting competition and an open internet,» John added.
The Anticorruption of Public Morals Act has not passed the Michigan House of Representatives committee nor been voted on by the Michigan Senate, and it’s not clear how much support the bill currently has beyond the six Republican representatives who have proposed it. As we’ve seen with state legislation in the past, sometimes bills like these can serve as templates for other representatives who may want to propose similar laws in their own states.
Could VPNs still get around bans like these?
That’s a complex question that this bill doesn’t really address. When I asked NordVPN how easy it would be track VPN use, privacy advocate Laura Tyrylyte explained, «From a technical standpoint, ISPs can attempt to distinguish VPN traffic using deep packet inspection, or they can block known VPN IP addresses. However, deploying them effectively requires big investments and ongoing maintenance, making large-scale VPN blocking both costly and complex.»
Also, VPNs have ways around deep packet inspection and other methods. CNET senior editor Moe Long mentioned obfuscation like NordWhisper, a counter to DPI that attempts to make VPN traffic look like normal web traffic so it’s harder to detect.
There are also no-log features offered by many VPNs to guarantee they don’t keep a record of your activity, and no-log audits from third parties like Deloitte that, well, try to guarantee the guarantee. There are even server tricks VPNs can use like RAM-only servers that automatically erase data each time they’re rebooted or shut down.
If you’re seriously concerned about your data privacy, you can look for features like these in a VPN and see if they are right for you. Changes like these, even on the state level, are one reason we pay close attention to how specific VPNs work during our testing, and make sure to recommend the right VPNs for the job, from speedy browsing to privacy while traveling.
Correction, Oct. 9: An earlier version of this story incorrectly stated how RAM-only servers work. RAM-only servers run on volatile memory and are wiped of data when they are rebooted or shut down.
Technologies
AWS Outage Explained: Why Half the Internet Went Down While You Were Sleeping
Reddit, Roblox and Ring are just a tiny fraction of the hundreds of sites and services that were impacted when Amazon Web Services went down.
The internet kicked off the week the way that many of us often feel like doing: by refusing to go to work. An outage at Amazon Web Services (AWS) rendered huge portions of the internet unavailable on Monday morning, with sites and services including Snapchat, Fortnite, Venmo, the PlayStation Network and, predictably, Amazon, unavailable for a short period of time.
AWS is a cloud services provider owned by Amazon that props up huge portions of the internet. As with the Fastly and Crowdstrike outages over the past few years, the AWS outage shows just how much of the internet relies on the same infrastructure — and how quickly our access to the sites and services we rely on can be revoked when something goes wrong.
Just after midnight PT on October 20, AWS first registered an issue on its service status page, saying it was «investigating increased error rates and latencies for multiple AWS services in the US-EAST-1 Region.» Around 2 a.m. PT, it said it had identified a potential root cause of the issue, and within half an hour, it had started applying mitigations that were resulting in significant signs of recovery.
«The underlying DNS issue has been fully mitigated, and most AWS Service operations are succeeding normally now,» AWS said at 3.35 a.m. PT. The company didn’t respond to request for further comment beyond pointing us back to the AWS health dashboard.
Around the time that AWS says it first began noticing error rates, Downdetector saw reports begin to spike across many online services, including banks, airlines and phone carriers. As AWS resolved the issue, some of these reports saw a drop off, whereas others have yet to return to normal. (Disclosure: Downdetector is owned by the same parent company as CNET, Ziff Davis.)
Around 4 a.m. PT, Reddit was still down, while services including Verizon and YouTube were still seeing a significant number of reported issues.
Technologies
Verum Messenger: How to Protect Your Personal Data and Why Choosing a Secure Messenger Matters
Verum Messenger: How to Protect Your Personal Data and Why Choosing a Secure Messenger Matters
A major data leak has been reported involving users of the Russian messenger MAX. Hackers claimed to have obtained the platform’s entire database, which includes 46,203,590 records. To prove their claims, they published part of the stolen data publicly.
According to preliminary information, the attackers gained access to users’ personal details, including contact numbers, chats, IP addresses, and other sensitive data. Cybersecurity experts warn that such incidents can lead to serious consequences — from account takeovers and extortion to large-scale phishing attacks.
Why these leaks happen
The main cause of such breaches is the storage of personal user data on servers without adequate protection or encryption. If attackers gain access to these servers, users’ information becomes fully exposed.
Additionally, many popular messaging apps require users to register with a phone number and provide extra personal information, increasing the amount of data that can be stolen.
How to reduce the risks
The only reliable way to protect your personal messages and data is to use messaging platforms that do not store personal information on their servers and rely on true end-to-end encryption.
One such solution is Verum Messenger — a next-generation app built on the principle of maximum privacy. The platform:
- does not store users’ personal data;
- uses unique encryption keys generated locally on the user’s device;
- does not require a phone number or other personal information to register;
- has no access to messages, calls, or files;
- provides effective anti-spam and anti-scam protection;
- offers private chats and group channels with flexible security settings.
Even in the event of a server breach, attackers would not be able to access message content — because encryption keys simply do not exist on the company’s side.
Freedom of communication without the risk of leaks
In addition to its strong security foundation, Verum Messenger offers a built-in ecosystem of tools — from encrypted email Verum Mail and an integrated VPN for anonymous connections to free crypto mining with Verum Coin and eSIM connectivity in over 150 countries worldwide.
As data breaches become increasingly common, choosing a secure messenger is no longer just about convenience — it’s about personal safety.
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