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The iPhone 17 Cameras Need Google’s Approach for Identifying AI Images

Commentary: Google is taking the correct stance on tagging both AI-generated images and photos straight out of the camera. Apple should join in and throw its weight in the right direction.

Nearly all of the new camera features of Google’s Pixel 10 Pro lean on artificial intelligence. When you use Pro Res Zoom to zoom in at 100x, for example, the Pixel Camera uses generative AI to recreate a sharp, clear version. Or when you’re taking photos of people, the Auto Best Take feature melds multiple shots to create an image where everyone looks good.

But Google added another low-level feature to the Pixel 10 line, C2PA content credentials, that isn’t getting much attention. C2PA, or the Coalition for Content Provenance and Authenticity, is an effort to identify whether an image has been created or edited using AI and help weed out fake images. AI misinformation is a growing problem, especially as the systems used to create them have been rapidly improving — with Google among those advancing the technology. 


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Apple, however, is not part of the coalition of companies pledging to work with C2PA content credentials. But it sells millions of iPhones, some of the most popular image-making devices in the world. It’s time the company implemented the technology in its upcoming iPhone 17 cameras.

Identifying genuine photos from AI-edited ones

C2PA is an initiative founded by Adobe to tag media with content credentials that identify whether they’re AI-generated or AI-edited. Google is a member of the coalition. Starting with the Pixel 10 line, every image captured by the camera is embedded with C2PA information, and if you use AI tools to edit a photo in the Google Photos app, it will also get flagged as being AI-edited.

When viewing an image in Google Photos on a phone, swipe up to display information about it. In addition to data such as which camera settings were used to capture the image, at the bottom is a new «How this was made» section. It’s not incredibly detailed – a typical shot says it’s «Media captured with a camera» — but if an AI tool such as Pro Res Zoom was used, you’ll see «Edited with AI tools.» (I was able to view this on a Pixel 10 Pro XL and a Samsung Galaxy S25 Ultra, but it didn’t show up in the Google Photos app on an iPhone 16 Pro.)

As another example, if you edit a photo after taking it using the Help me edit field to replace the background of an image, the generated version also includes «Edited with AI tools» in the information.

To be fair, AI has a role in pretty much every photo you take with a smartphone, given that machine learning is used to identify objects and scenes to better merge bursts of exposures that are captured when you tap the shutter button. The Pixel 10 flags those as «Edited with non-AI tools,» so Google is specifically applying the AI tag to images where generative AI is at work. So far, the implementation is inconsistent: A short AI-generated clip I made using the Photo to Video feature in Google Photos on the Pixel 10 Pro XL shows no C2PA data at all, though it does include a «Veo» watermark in the corner of the video.

What’s important is that the C2PA info is there

But here’s the key point: What Google is doing is not just tagging pictures that have been touched by AI. The Camera app is adding the C2PA data to every photo it captures, even the ones you snap and do nothing with.

The goal is not to highlight AI-edited photos. It’s to let you look at any photo and see where it came from.

When I talked to Isaac Reynolds, group product manager for the Pixel cameras, before the Pixel 10 launch, C2PA was a prominent topic even though in practical terms the feature isn’t remotely as visible as Pro Res Zoom or the new Camera Coach.

«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,» said Reynolds. «We’re just trying to flood the market with this label so people start to expect the data to be there.»

This is why I think Apple needs to adopt C2PA and tag every photo made with an iPhone. It would represent a massive influx of tagged images and give weight to the idea that an image with no tag should be regarded as potentially not genuine. If an image looks off, particularly when it involves current events or is meant to imitate a business in order to scam you, looking at its information can help you make a better-informed choice.

Google isn’t an outlier here. Samsung Galaxy phones add an AI watermark and a content credential tag to images that incorporate AI-generated material. Unfortunately, since Apple is not even listed as one of the C2PA members, I admit it seems like a stretch to expect that the company would adopt the technology. But given Apple’s size and influence in the market, adding C2PA credentials to every image the iPhone makes would make a difference and hopefully encourage even more companies to get on board.

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Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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