Technologies
Adobe and LinkedIn Are Teaming Up to Help Creators Verify Images’ Authenticity
The partnership allows the new Adobe content authenticity app to verify that a creator is who they say they are.
Adobe’s next step forward in its content authenticity efforts is here. The Adobe content authenticity app is now in public beta, available for anyone to try. With the app, you can attach content credentials to all your digital images and photos.
Content credentials are a kind of invisible digital signature that’s added after a project is finished. Right now, you can add them to images, with support for videos and audio coming soon. Besides your name, content credentials can include your social media handles, personal website and can disclose any AI usage. You can also use these credentials to signify that you don’t want your work to be used to train AI models.
One of the best parts about the app is that you don’t need a Creative Cloud subscription to use it. So even if you don’t want to pay for Adobe programs, you can quickly sign up for a free Adobe account and use the app to create content credentials and apply them to your digital work.
Creators who post their work online know that it’s all too easy for people to steal, misattribute or erase the original creator from a piece of work. That’s where the new partnership with LinkedIn comes in to give content credentials a little more security.
Currently, LinkedIn offers three types of verifications on its platform: identity, workplace and educational. You likely already have at least one if you’re a semiregular LinkedIn user. You can get a workplace verification by using your work email, or you can get an identity verification using a form of government-issued ID. LinkedIn’s new «Verified on LinkedIn» program will help people use these verifications in other corners of the internet. If you’re verified on LinkedIn, those credentials will appear in your Adobe content credentials account. You’ll also be able to apply your LinkedIn verifications on TrustRadius, G2 and UserTesting.
«Using Verified on LinkedIn, users will be able to use the verifications they’ve completed on LinkedIn to show who they are across the different online platforms they use, boosting trust, confidence and credibility,» Oscar Rodriguez, vice president of trust at LinkedIn, said in a statement.
When you’re inside the content authenticity app, you can batch apply credentials to up to 50 images at a time — a highly requested feature that came out of the private beta, Andy Parsons, senior director of content authenticity at Adobe, told CNET in an interview. You can also use the content credentials app to inspect tags added to other images. The content credential browser extension is also available, if you want the ability to view credentials wherever you scroll online.
Content provenance, or how we know where a piece of content originates, is more important than ever in the age of AI. The content credential app is the result of Adobe’s involvement with a larger group called the Coalition for Content Provenance and Authenticity, or C2PA. The group advocates for an open technical standard to help people easily see where an image, video or another piece of content came from. Other members include Google, Meta and OpenAI — all heavyweights in the generative AI market. LinkedIn is now also joining, but its parent company, Microsoft, is a longtime member.
For more, check out our hands-on testing of the new Photoshop iPhone app and the fight between Adobe and creators over the future of AI.
Technologies
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
Technologies
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
Technologies
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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