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Why Your MacBook Air Webcam Looks Bad in Zoom Meetings and How to Fix It

Here are some lighting and positioning tricks to help you make up for that grainy 720p webcam on older Macs.

Almost every new MacBook sold today has an upgraded high-resolution webcam, but that only helps if you’ve bought one in the last year or so. Many MacBook owners are still using either older Intel versions or the 13-inch M1 MacBook Air or MacBook Pro, and all of those systems are held back by one unfortunate quirk: a flat-looking 720p-resolution webcam with lots of noise and a lack of depth-sensing technology. 

A lot of Windows laptops are barely better, many with similar outdated webcams, but at least some have better light sensitivity, color accuracy or depth sensing for facial-recognition logins. However, many Windows laptops were even ahead of Apple in adding better 1080p webcams over the past few years. 

The side effect of MacBooks being in wide circulation and tending to last for many years is that there’s a lot of older hardware out there. And that means your Zoom or other video meetings are not going to look great, both because of the camera and because many people don’t have their laptops set up to capture a decent-looking image. 

Use your iPhone camera instead

There’s at least a reasonable chance you’re beaming into an online Zoom meeting (or other video meeting) from a pre-2022 MacBook Air or something similar. That means you’re not looking your best. Especially for a smaller, low-slung laptop like the Air, your camera isn’t going to be at an optimal angle if it’s sitting on your desk or kitchen table and aimed up at you. 

One option is to use your phone’s camera. Either the front or back cameras will be better than any laptop you have. For TV appearances from my work-from-home office, I sometimes use my phone mounted from an eye-level tripod clip. 

The latest MacOS version, called Ventura, adds a powerful new feature called Camera Continuity. Take an iPhone with iOS 16 and a MacBook with Ventura, and you can easily link them, using the phone’s superior camera as your webcam. It’s a feature that took far too many years to get, but it solves a ton of problems. Even better, it works on (some) older Intel Macs, and you can see the exact list of compatible systems here

If you’re using your iPhone as a wireless MacBook webcam, you’ll probably want to mount it. There are commercial mounts you can buy, like this one from Belkin, or you can try 3D printing this custom version I designed. 

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I designed this iPhone MacBook mount for 3D printing. 

Dan Ackerman/CNET

Before Camera Continuity, I’d use EpocCam software from Elgato, which ran on my phone and allowed me to use it as a wireless camera for my MacBook. The Pro version costs a few bucks, and didn’t work for every scenario, but it was a reasonable solution when using a compatible app like Zoom or Microsoft Teams. You could also attach an external webcam from Logitech or another company

But even with a better camera, your video presence will benefit from proper position and lighting. Here are some tips based on my experience beaming into live TV spots from my MacBook during the pandemic. 

Raise your laptop

If your laptop is anywhere close to a good ergonomic position for your hands, then it’s nowhere near the best spot for a Zoom meeting. Get some big books. Get some giant board game boxes. Prop that sucker up. Use big coffee table books or something else heavy, so you won’t get as much wobble. Don’t use empty cardboard boxes. 

Where do you want the camera pointing? Get it to sit just above eye level. 

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A not-great shot from the 2020 MacBook Air webcam. Note the soft image quality, and the laptop should be propped up higher. 

Dan Ackerman/CNET

Good lighting cures (most) ills

Low-res webcam signals look especially bad in low-light situations. Even higher-res cameras benefit from lots of light. That’s why movie and TV sets and professional photography are flooded with giant lights. You don’t need all that, but a good source of natural sunlight is an easy and inexpensive way to drastically improve your webcam shot. Face the window, don’t put your back to it. You want the camera to see the light from the window, not the window itself. 

If natural light isn’t available, don’t spend a ton on a fancy light setup. This set from UBeesize is under $35 and includes an 8-inch ring light, a tripod to mount it on and phone clip as well. Many people at CNET use this setup or something similar for remote work.

Know the Macs with a better webcam

Among current MacBooks, the M1 MacBook Air and 13-inch M2 MacBook Pro both have that old 720p webcam. But the MacBook Pro 14 and Pro 16 have excellent 1080p cameras, along with the 2021 24-inch M1 iMac and the 2022 M2 MacBook Air. Previously, you could only find that in the discontinued $5,000-and-up iMac Pro and 27-inch iMac. The M2 MacBook Air is the biggest game-changer, if you ask me, as it has an excellent 1080p webcam, and is just a great all-around laptop. 

My colleague Brian Cooley has many more general webcam setup tips, including some good headset mic suggestions — although your phone headset or AirPods should be fine for anything short of a live hit on CNN.

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

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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

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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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