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A Decade Later, Your Phone Still Does Not Replace a Pro Camera

Commentary: Phone cameras are getting better and better, but they still aren’t much closer to replacing dSLRs and professional mirrorless cameras.

On a chilly Saturday afternoon in San Francisco, I was under a patio heater with a group of friends when someone said we should get a group photo. What happened next was surprising. Instead of using his phone to take a commemorative photo, my friend pulled out a point-and-shoot camera. I thought to myself, “Wait. The phone killed the point-and-shoot camera years ago. Why didn’t he just use his iPhone?” Granted it was the high-end Sony RX100 VII, which is an excellent compact camera and one of the few point-and-shoots still made today.

Phones from Apple, Samsung and Google include some of the best phone cameras you can buy, like the iPhone 14 Pro, Google Pixel 7 Pro and Samsung Galaxy S22 Ultra. But for professional photographers and filmmakers, that’s not always enough. The holy grail is being able to have a truly large image sensor like the one you’d find in a high-end mirrorless camera and a lens mount that could attach to your phone. Sounds simple enough right? Wrong.

Everyone from Samsung to Panasonic, Sony and Motorola has tried to make this dream a reality in some way. Now Xiaomi, the world’s third largest phone-maker (behind Samsung and Apple) is the latest to rekindle the quest for the phone camera holy grail. The company has a new prototype phone that lets you mount a Leica M lens on it.

But this is just a concept. If you’re wondering whether phones will ever make dedicated pro cameras obsolete the way they did with point-and-shoots, the answer is a resounding no. The past decade has shown us why.

Why phone cameras are limited

First, it’s important to understand how your phone’s camera works. Behind the lens is a tiny image sensor, smaller than a single Lego brick. Sometimes there are headlines that Sony, Sharp or, years ago, Panasonic put a 1-inch sensor in a phone. Sadly, that name doesn’t refer to the actual dimensions and in reality, a 1-inch image sensor is about 0.6 of an inch diagonally or, for the sake of approximation, two Lego bricks. The 1-inch sensor is the hoverboard of cameras, but it’s still one of the largest to be put into a phone.

Dedicated cameras have sensors that are closer to 12 Lego bricks (positioned side-by-side in a four-by-three rectangle) and most come with a lens mount that lets you change lenses. The “holy grail” is to put one of these larger sensors into a phone.

But bigger sensors are more expensive than the little ones used in your iPhone and there are space considerations. A lens for a phone camera sensor is relatively small. But lenses for a full-frame sensor are larger and require more space between the back of the lens and the sensor. Phones simply lack this room without becoming significantly thicker.

Every year we see Apple, Samsung and the like take small steps toward improving phone photography. But phone camera hardware has largely hit a ceiling. Instead of radical camera improvements, we get modest upgrades. This could be a sign that companies have honed in on what consumers want. But it could also be a consequence of space and size limitations of tiny sensors.

Instead smartphone-makers use computational photography to overcome a tiny sensor’s limitations — smaller dynamic range and light sensitivity. Google, Apple, Samsung all use machine learning algorithms and artificial intelligence to improve the photos you take with your phone.

But hardware is also important. Earlier this month Tim Cook, Apple’s CEO, shared a photo on Twitter, above, of a visit to Sony in Japan. While it’s been widely assumed that Apple uses Sony’s image sensors in the iPhone, this is the first time Cook formally acknowledged it. And as CNET readers already know, Sony phones like the Xperia 1 IV have some of the best camera hardware found on any phone sold today.

The Xperia 1 IV won a CNET Innovation award for its telephoto camera, which has miniature lens elements that actually move back and forth, like a real telephoto lens. The result is that you can use the lens to zoom without cropping digitally, which degrades the image. Can you imagine an iPhone 15 Pro with this lens?

The Xiaomi 12S Ultra Leica lens prototype is so 2013

That brings us to Xiaomi, which is the latest company attempting to merge pro-level cameras with your phone. In November, Xiaomi released a video of a phone camera concept that shows a Leica lens mounted on a 12S Ultra phone. This prototype is like a concept car: No matter how cool it is, you’ll never get to drive it.

The Chinese company took the 12S Ultra and added a removable ring around its circular camera bump. The ring covers a thread around the outside edge of the camera bump onto which you can attach an adapter that lets you mount Leica M lenses. The adapter’s thickness is the same distance that a Leica M lens needs to be positioned away from the sensor in order to focus.

A few caveats: The Xiaomi 12S Ultra concept uses an exposed 1-inch sensor, which as I mentioned earlier, isn’t actually 1-inch. Next, this is purely a concept. If something like this actually went on sale, it would cost thousands of dollars. A nice dedicated camera like the Fujifilm X100 V, which has a much bigger sensor, costs $1,399 in comparison.

Xiaomi isn’t the first phone-maker to try this. In 2013, Sony took an image sensor and put it on the back of a lens that has a grip to attach to the back of a phone. The idea is to use your phone’s screen as the viewfinder for the camera system, which you can control through an app. Essentially you bypass your phone’s cameras.

Sony made several different versions of this “lens with a grip” and used sensors that were just a bit bigger than those found in phone cameras. Sony also made the QX-1 camera, which had an APS-C sized sensor that in our Lego approximation is about six bricks positioned side-by-side in a three-by-two rectangle. That’s not as large as a full-frame sensor, but vastly bigger than your phone’s image sensors.

The Sony QX-1 has a Sony E-mount, meaning you can use various E-mount lenses or use adapters for Canon or Nikon lenses. Because the QX-1 is controlled with Bluetooth, you could either attach it to your phone or put it in different places to take photos remotely.

The QX-1 came out in 2014 and cost $350. Imagine having something like this today? I would definitely buy a 2022 version if Sony made it, but sadly the QX-1 was disconitntued a few years after it went on sale. That’s around the time that Red, the company that makes cinema cameras used to film shows and movies like The Hobbit, The Witcher, Midsommar and The Boys, made a phone called the Red Hydrogen One.

Despite being a phone made by one of the best camera companies in the world, the $1,300 Red Hydrogen One’s cameras were on par with those from a $700 Android phone. The back of the phone had pogo pins designed to attach different modules (like Moto Mods), including a “cinema camera module” that housed a large image sensor and a lens mount, according to patent drawings. The idea is that you would use a Hydrogen One and the cinema mod to turn the phone into a mini-Red cinema camera.

Well, that never happened.

The Red Hydrogen One was discontinued and now shows up as a phone prop in films like F9, on the dashboard of Dominic Toretto’s car or in the hands of Leonard DiCaprio in Don’t Look Up.

2023 will show that pro cameras won’t be killed off by our phones

There aren’t any rumors that Apple is making an iPhone with a camera lens mount, nor are there murmurs of a Google mirrorless camera. But if Xiaomi made a prototype of a phone with a professional lens mount, you have to imagine that somewhere in the basement of Apple Park sits an old concept camera that runs an iOS-like interface, is powered by the iPhone’s A-series chip and able to use some of the same computational photography processing. Or at least that’s what I’d like to believe.

How amazing would photos look from a pro-level dedicated camera that uses the same processing tricks that Apple or Google implement on their phones? And how nice would it be to have a phone-like OS to share those photos and videos to Instagram or TikTok?

Turns out, Samsung tried bringing an Android phone’s interface to a camera in 2012. Noticing a theme here? Most of these holy grail phone camera concepts were tried 10 years ago. A few of these, like the Sony QX-1, were truly ahead of their time.

I don’t think Apple will ever release a standalone iOS-powered camera or make an iPhone with a Leica lens mount. The truth is that over the past decade, cameras have gotten smaller. The bulky dSLRs that signified professional cameras for years are quickly heading into the sunset. Mirrorless cameras have risen in popularity. They tend to be smaller, since they don’t need the space for a dSLR mirror box.

If there is a takeaway from all of this, it’s just a reminder of how good the cameras on our phones have gotten in that time. Even if it feels like they’ve plateaued, they’re dependable for most everyday tasks. But they won’t be replacing professional cameras anytime soon.

If you want to step up into a professional camera, find one like the Fujifilm X100 V or Sony A7C, that pack a large image sensor, a sharp lens and can fit into a coat pocket. And next time I’m at a dinner party with friends, I won’t act so shocked when someone wants to take a picture with a camera instead of a phone.

Read more: Pixel 7 Pro Actually Challenges My $10,000 DSLR Camera Setup

Technologies

Apple and Meta team up to make Muse AI model run on Mac computers

Apple and Meta are collaborating to make Muse Spark Open easier to run locally on clustered Mac Studio systems, according to the companies.

Tim Cook and Mark Zuckerberg have clashed for years, but with John Ternus taking the reins at Apple

Meta

The collaboration centers on Muse Spark Open, the most capable open-weight model released under a license that allows for limited commercial use, according to Meta. It’s an 816-billion-parameter model using a so-called mixture-of-experts architecture. As an open-weight model, developers can download the technology’s parameters, or weights, from the internet and run the model on a wide range of hardware.

Customers will be able to pair between two and four Mac Studio PCs to use Muse Spark to code, analyze video or do other agentic work. The model runs locally, instead of in the cloud, adding a layer of security and saving users money, the companies said.

Thursday’s announcement, following months of collaboration, is a sign that the AI boom has shifted historical alliances in Silicon Valley. For years, Apple and Meta regarded each other warily and avoided public partnerships, and the relationship hit rock bottom after Apple introduced privacy changes in 2021 that limited the targeting capabilities of digital ad companies.

Meta estimated in early 2022 that the change would cut its revenue that year by $10 billion.

Representatives from Apple and Meta declined to say if the Muse Spark Open collaboration was the start of a deeper relationship.

Zuckerberg posted a picture on X showing the Meta agent working on a Mac computer. He wrote, “Muse Spark Open — weights releasing today — runs great on new Mac Studios thanks to work with @johnternus and Apple.”

Ternus responded, “Congrats to the team! Amazing to run a model of Muse Spark Open’s caliber and scale this efficiently, right from your desk. Mac Studio keeps pushing the boundaries of on-device AI!”

Meta AI chief Alexandr Wang said in an interview that many powerful open-weight models are too big to be run on the majority of personal computers, but Apple’s Mac Studios make enough memory available to users so that it’s practical to run Muse Spark Open.

The move represents an important show of confidence in Meta’s rebooted AI efforts and could pose a challenge to OpenAI and Anthropic. It could also signal Apple’s growing strength in AI chips, a market that Nvidia

″We worked with Apple to bring leading Agent capabilities to your desktop for the first time on the Apple M5 Ultra Mac Studios, so you know we’re really excited about this,” Wang said. Developers can download a version of the AI model from websites like Hugging Face without extra configuration for Apple’s silicon.

Muse Spark Open has also been tuned to run faster on Apple’s hardware, and the iPhone maker revealed new benchmarks for its chips and published technical documentation about its MLX AI framework’s ability to split open-source models across multiple machines.

Mac Studios aren’t cheap though, and this AI model requires the fastest Apple chips and as much memory as possible.

Currently, a Mac Studio with the required M5 Ultra chip and 256GB of memory costs at least $10,799. A more expensive version with 512GB of RAM will be released later this month.

Plus, users will need to buy multiple machines.

Common ground on open source

The two companies are collaborating on open-source AI, which has become a point of contention in Washington as politicians worry that free Chinese models could undercut American AI.

Although Meta once centered its AI strategy on its older open-weight Llama family of models, it has since focused on creating proprietary models under the leadership of Wang, who joined Meta when the company invested more than $14 billion into his former startup Scale AI last year.

While Apple and Meta, then known as Facebook, partnered on iPhone extensions over a decade ago, they haven’t struck any public partnerships since 2017 after Apple removed system-level Facebook integration from the iPhone.

“Most of the animosity predates my tenure at the company, but obviously there’s been a long history between Meta and Apple,” Wang said, pointing to one member of his team, AI researcher and former Apple director Daniel Gross, as a reason for the collaboration. Gross, along with former GitHub CEO Nat Friedman, was a major Zuckerberg hire last year as the Facebook founder was overhauling his company’s AI strategy.

Their leaders have also traded harsh words.

Cook, who was Apple CEO until Ternus succeeded him last month, took a shot at Zuckerberg in 2018, during the Cambridge Analytica scandal, saying, “I wouldn’t be in this situation.” Cook often criticized Meta for compromising user privacy.

Ternus, a hardware engineer, has already started changing things at Apple, including when it releases products.

And Meta’s developers haven’t been able to resist Apple’s products. The company bought hundreds of Mac computers so its Superintelligence team could experiment with local AI and agents earlier this year.

Apple’s multiple partners

Meta is just the latest AI model developer to team up with Apple.

In 2024, Apple announced a partnership with OpenAI to integrate ChatGPT into Siri, although the integration “dramatically underperformed” and didn’t lead to OpenAI user growth, OpenAI said in a filing that’s part of a legal dispute with Elon Musk’s xAI. Apple sued OpenAI in July, alleging trade secret theft, a claim OpenAI denied.

Earlier this year, Apple announced a deal with Google

Still, Apple’s AI strategy has drawn criticism from investors and customers in part because its new version of Siri, released last month, isn’t as advanced as chatbots and agents from leading labs.

Meanwhile, Meta has bet big on becoming a leading lab but has struggled to keep up with the competition and its business remains almost entirely reliant on ads. Recent developments, such as Meta’s Muse personal agent app and its latest proprietary foundation model, Muse Wonder, released earlier this week, have begun to excite investors who are optimistic about new AI business opportunities.

Open source remains part of Zuckerberg’s AI strategy. In August, Meta debuted a small open-weight AI model dubbed Muse Glimmer, with Zuckerberg pledging to eventually release something bigger and more powerful.

Muse Spark Open isn’t as advanced as Muse Wonder, a proprietary offering, but Wang said it’s good enough to potentially entice more coders to upgrade.

“These aren’t the most capable models that we’ve developed or released,” Wang said. “But we think that there will be a lot of companies and developers who sort of use this model and tinker with it at small scale and then seek to ramp up and scale up their usage.”

WATCH: Apple makes its biggest smart-home push yet under CEO John Ternus.

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CoreWeave credit default swaps hit distress levels as investors sour on AI debt

Signs of distressed deepened in CoreWeave on Thursday.

CoreWeave’s credit stress continued to spiral on Thursday amid a broader sell-off in AI-related names.

CoreWeave — a so-called neocloud company — has taken on more than $51 billion of debt and obligations to finance its AI infrastructure build-out. It’s now facing a rebellion from stock and bond investors as concerns mount about AI overspending and debt levels.

Yields on CoreWeave debt have continued to climb, with the yield to maturity on its 9.75% bond due in 2031 reaching 15.78%. Bond yields move inversely to prices. Meanwhile, the spread on its five-year credit default swaps, which are insurance against default, at one point soared above 1,140 basis points. It last stood at nearly 1,038 bps — a 16% week-over-week jump and 164% higher than a year ago.

Credit concerns are spreading into AI equities too. CoreWeave’s stock dropped during trading Thursday before recovering and closing 5.94% higher. The moved followed Wednesday’s 15.5% nosedive.

Other neocloud stocks were under similar pressure. Nebius also sank before climbing higher to close 1.29% and and Iren ultimately ended the day down less than 1%.

Anxiety about AI overspending is also spreading. For instance, shares of Micron Technology and Advanced Micro Devices sold off following a big sell-off in South Korean chip stocks. Micron closed up 1.87%, while AMD fell 1.5%.

While AI debt worries have been rising steadily, investors have suddenly grown skittish about the underlying finances of companies borrowing heavily to buy chips, build data centers, and rent out computing power.

Coreweave’s credit default swaps are one place to see that stress.

Credit default swaps are contracts where buyers pay for protection in case the borrower can’t repay its debt. The spread widening in CoreWeave’s CDS means investors view the debt as riskier.

The market is “basically saying ‘no mas’ to AI debt without operating cash flow support,” the Evercore ISI trading desk said.

A spread level of 1,000 basis points or above is generally a sign of credit distress, said Gavan Nolan, executive director of fixed income pricing at S&P Global Market Intelligence.

No one is questioning whether demand for CoreWeave’s services is real, since the company has contracts with all the big hyperscalers, Nolan said. The question is whether the cash flows will ultimately arrive.

“It’s obviously heavily negative free cash flow at the moment, and it needs that cash flow to arrive really to justify all the capex that it’s spending,” Nolan said.

‘Self-fulfilling prophecy’

CEO Mike Intrator dismissed the market moves on Wednesday, according to a memo obtained by CNBC.

“When you are building a new type of technology company there will be periods of time when the market misunderstands and acts irrationally,” he wrote. “We are confident in our backlog which more than supports all of our debt obligations.”

The backlog is over $100 billion, with around two-thirds of it with investment-grade counterparts including Microsoft, Meta, IBM and Caterpillar, Deutsche Bank said in a note Thursday. The firm reiterated its buy-rating on the stock Wednesday, calling the dislocation a buying opportunity.

“The problem is this kind of concern can prove to be a self-fulfilling prophecy, and risks triggering broader issues in other AI-related names,” said Jim Reid, global head of macro and thematic research.

Domino effects may already be happening. Oracle’s five-year CDS spread also spiked this week. It was last at 282 basis points, a roughly 10% increase in one week.

“A downgrade from its BBB rating would risk pressuring IG-only investors into forced sales,” Reid said.

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Netflix Chief Content Officer Bela Bajaria is leaving, will be replaced by Peter Rice

Netflix announced Bela Bajaria will be replaced by former Disney exec Peter Rice as the company’s chief content officer.

Netflix on Thursday announced Bela Bajaria will be replaced as the company’s chief content officer by former Disney exec Peter Rice, effective Oct. 26.

Rice most recently oversaw Disney’s cable channels, news programming and coverage of major sporting events.

“Peter is one of the most effective at-scale operators in the entertainment industry,” co-CEO Ted Sarandos said in a statement. “I’m excited to welcome him to Netflix as Chief Content Officer as we continue to scale and deliver members more of the stories they love.”

Before Rice was at Disney, he held roles 21st Century Fox and Fox Searchlight Pictures. Netflix in its announcement called him “one of the entertainment industry’s most respected creative executives.” In his new role, Rice will oversee the company’s global content organization, including scripted and unscripted series, film and live events.

″[Netflix has] shown again and again that they’re willing to take chances on distinctive voices and fresh ideas, and I’m excited to work with the team to help bring even more great stories to members everywhere,” he said in a statement.

Bajaria, who is leaving Netflix after nearly 10 years, most recently worked as the company’s global content team. She had been focused on the company’s live sports strategy, looking to create events out of buzzy games and tournaments.

“I’m incredibly grateful for everything she’s done to help Netflix entertain the world,” Sarandos said in a statement.

The announcement comes a day after Netflix instituted layoffs across its organization, eliminating approximately 6% of its workforce, or roughly 1,000 jobs.

The media company will report its next quarterly earnings on Tuesday.

This is breaking news. Please refresh for updates.

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