Technologies
Galaxy S23 Ultra: My Earliest Impressions After a Day With Samsung’s Latest Flagship
The camera on Samsung’s new high-end phone already shows promise.
This story is part of Samsung Event, CNET’s collection of news, tips and advice around Samsung’s most popular products.
Samsung’s Galaxy S23 Ultra is all about the cameras. The tech giant spent a good chunk of its launch event last week flaunting how well its new cameras can capture more colorful photos and cinematic videos. Veteran movie director Ridley Scott even made an appearance in Samsung’s promotional clip.
I’ve only spent a day with the $1,200 ( 1,249, AU$1,949)Galaxy S23 Ultra so far, but some of the camera upgrades are already noticeable. Portraits taken in low light, for example, seem more vibrant and flattering.
The Galaxy S23 Ultra is one of three new phones Samsung announced, alongside the $800 ( 849, AU$1,349) Galaxy S23 and $1,000 ( 1,049, AU$1,649) Galaxy S23 Plus. The Galaxy S23 Ultra is Samsung’s first with a 200-megapixel main camera, but the company also made some significant under-the-hood changes that should improve dynamic range and video capture.
Here’s a look at what has stood out the most in my first 24 hours with Samsung’s new phone.
Galaxy S23 Ultra: Great low-light portraits
The Galaxy S23 Ultra has four cameras just like the Galaxy S22 Ultra, but the main sensor has an upgraded resolution of 200 megapixels instead of 108. There’s also a 12-megapixel ultrawide camera and two 10-megapixel telephoto lenses, one with 3x optical zoom and the other with 10x.
Behind-the-scenes upgrades to dynamic range should also result in more accuracy when capturing the light and dark areas in video recordings. But it seems like these improvements are noticeable in photography, too.
My biggest takeaway so far is the way the S23 Ultra takes flattering portraits in low light. The photo below of my colleague Claire Reilly was taken in a very dim podcast studio in CNET’s San Francisco office. It was her favorite of the bunch when compared to similar photos I took of her with the Pixel 7 Pro and Galaxy S22 Ultra.
She said the lighting and color in the S23 Ultra’s photo made her face look «radiant» and is comparable to the way she looks in CNET videos that she films on a Sony ZV-1 camera with a professional lighting setup. The Pixel 7 Pro’s photo, by comparison, made her skin tone look muddier. The sequins on her sweater also look more colorful in the S23 Ultra’s photo than in pictures taken with the Galaxy S22 Ultra and Pixel 7 Pro. (Note: The Galaxy S23 Ultra photos below aren’t displayed at their full 200-megapixel resolution because of the large file sizes.)
The Galaxy S23 Ultra also excelled under mixed lighting and captured vibrant photos, as shown in the image below taken in CNET’s kitchen. But whether the photo is better than pictures taken on the Pixel 7 Pro or Galaxy S22 Ultra depends on your preference. For example, Claire said the Galaxy S23 Ultra’s bolder colors made the photo look less natural than the Pixel 7 Pro’s, despite the Pixel’s image having harsher contrast and more severe shadow lines in the face.
When it comes to selfies, Samsung says the phone should have better dynamic range and object segmentation. That means the camera should be smarter about separating the subject from the background, as well as distinguishing other fine elements like strands of hair. You can also access manual controls for the front camera in pro mode or take selfies with the Expert Raw app. Raw capture saves full, unretouched versions of images and should offer more flexibility when editing.
So far, I haven’t noticed a huge difference in selfie quality. In fact, I prefer the Galaxy S22 Ultra’s selfie over the S23 Ultra’s in the images below. That said, the Galaxy S23 Ultra’s selfie is much brighter than the Pixel 7 Pro’s photo. I also intentionally took this photo in challenging lighting conditions to see how it handles a mix of dim indoor lighting and natural light.
Keep in mind that these are just a few early camera examples. Our full review will have more photos and videos.
Galaxy S23 Ultra design: Just as big, and just as beautiful
The Galaxy S23 Ultra looks almost identical to the Galaxy S22 Ultra. It has the same boxy shape, which sets it apart from the regular Galaxy S23 and other Android phones. The only major aesthetic difference is its color; the Galaxy S23 lineup is available in cream, green, lavender and black, while its predecessor came in burgundy, green, white and black, in addition to a few Samsung-exclusive colors. I’ve been using the cream version so far, which looks sleek and eye-catching.
The Galaxy S23 Ultra has a 6.8-inch screen that seems just as bright and vibrant as its predecessor’s, although it’s a tad large for my taste. It’s too soon to tell how long the Galaxy S23 Ultra’s battery will last on a single charge, but my review unit dropped to roughly 90% around lunchtime after starting the day at 100%.
Overall, the Galaxy S23 Ultra seems promising, particularly for photographers and videographers, but I have to put it through more testing to know for sure. I’ll have more details on the Galaxy S23 Ultra’s camera, battery life and performance in our full review.
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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