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Meta’s Ray-Ban Smart Glasses Use AI to See, Hear and Speak. What Are They Like?

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In a sign that the tech industry keeps getting weirder, Meta soon plans to release a big update that transforms the Ray-Ban Meta, its camera glasses that shoot videos, into a gadget seen only in sci-fi movies.

Next month, the glasses will be able to use new artificial intelligence software to see the real world and describe what you’re looking at, similar to the A.I. assistant in the movie “Her.”

The glasses, which come in various frames starting at $300 and lenses starting at $17, have mostly been used for shooting photos and videos and listening to music. But with the new A.I. software, they can be used to scan famous landmarks, translate languages and identify animal breeds and exotic fruits, among other tasks.

To use the A.I. software, wearers just say, “Hey, Meta,” followed by a prompt, such as “Look and tell me what kind of dog this is.” The A.I. then responds in a computer-generated voice that plays through the glasses’ tiny speakers.

The concept of the A.I. software is so novel and quirky that when we — Brian X. Chen, a tech columnist who reviewed the Ray-Bans last year, and Mike Isaac, who covers Meta and wears the smart glasses to produce a cooking show — heard about it, we were dying to try it. Meta gave us early access to the update, and we took the technology for a spin over the last few weeks.

We wore the glasses to the zoo, grocery stores and a museum while grilling the A.I. with questions and requests.

The upshot: We were simultaneously entertained by the virtual assistant’s goof-ups — for example, mistaking a monkey for a giraffe — and impressed when it carried out useful tasks like determining that a pack of cookies was gluten-free.

A Meta spokesman said that because the technology was still new, the artificial intelligence wouldn’t always get things right, and that feedback would improve the glasses over time.

Meta’s software also created transcripts of our questions and the A.I.’s responses, which we captured in screenshots. Here are the highlights from our month of coexisting with Meta’s assistant.

BRIAN: Naturally, the very first thing I had to try Meta’s A.I. on was my corgi, Max. I looked at the plump pooch and asked, “Hey, Meta, what am I looking at?”

“A cute Corgi dog sitting on the ground with its tongue out,” the assistant said. Correct, especially the part about being cute.

MIKE: Meta’s A.I. correctly recognized my dog, Bruna, as a “black and brown Bernese Mountain dog.” I half expected the A.I. software to think she was a bear, the animal that she is most consistently mistaken for by neighbors.

BRIAN: After the A.I. correctly identified my dog, the logical next step was to try it on zoo animals. So I recently paid a visit to the Oakland Zoo in Oakland, Calif., where, for two hours, I gazed at about a dozen animals, including parrots, tortoises, monkeys and zebras. I said: “Hey, Meta, look and tell me what kind of animal that is.”

The A.I. was wrong the vast majority of the time, in part because many animals were caged off and farther away. It mistook a primate for a giraffe, a duck for a turtle and a meerkat for a giant panda, among other mix-ups. On the other hand, I was impressed when the A.I. correctly identified a species of parrot known as the blue-and-gold macaw, as well as zebras.

The strangest part of this experiment was speaking to an A.I. assistant around children and their parents. They pretended not to listen to the only solo adult at the park as I seemingly muttered to myself.

MIKE: I also had a peculiar time grocery shopping. Being inside a Safeway and talking to myself was a bit embarrassing, so I tried to keep my voice low. I still got a few sideways looks.

When Meta’s A.I. worked, it was charming. I picked up a pack of strange-looking Oreos and asked it to look at the packaging and tell me if they were gluten-free. (They were not.) It answered questions like these correctly about half the time, though I can’t say it saved time compared with reading the label.

But the entire reason I got into these glasses in the first place was to start my own Instagram cooking show — a flattering way of saying I record myself making food for the week while talking to myself. These glasses made doing so much easier than using a phone and one hand.

The A.I. assistant can also offer some kitchen help. If I need to know how many teaspoons are in a tablespoon and my hands are covered in olive oil, for example, I can ask it to tell me. (There are three teaspoons in a tablespoon, just FYI.)

But when I asked the A.I. to look at a handful of ingredients I had and come up with a recipe, it spat out rapid-fire instructions for an egg custard — not exactly helpful for following directions at my own pace.

A handful of examples to choose from could have been more useful, but that might require tweaks to the user interface and maybe even a screen inside my lenses.

A Meta spokesman said users could ask follow-up questions to get tighter, more useful responses from its assistant.

BRIAN: I went to the grocery store and bought the most exotic fruit I could find — a cherimoya, a scaly green fruit that looks like a dinosaur egg. When I gave Meta’s A.I. multiple chances to identify it, it made a different guess each time: a chocolate-covered pecan, a stone fruit, an apple and, finally, a durian, which was close, but no banana.

MIKE: The new software’s ability to recognize landmarks and monuments seemed to be clicking. Looking down a block in downtown San Francisco at a towering dome, Meta’s A.I. correctly responded, “City Hall.” That’s a neat trick and perhaps helpful if you’re a tourist.

Other times were hit or miss. As I drove home from the city to my house in Oakland, I asked Meta what bridge I was on while looking out the window in front of me (both hands on the wheel, of course). The first response was the Golden Gate Bridge, which was wrong. On the second try, it figured out I was on the Bay Bridge, which made me wonder if it just needed a clearer shot of the newer portion’s tall, white suspension poles to be right.

BRIAN: I visited San Francisco’s Museum of Modern Art to check if Meta’s A.I. could do the job of a tour guide. After snapping photos of about two dozen paintings and asking the assistant to tell me about the piece of art I was looking at, the A.I. could describe the imagery and what media was used to compose the art — which would be nice for an art history student — but it couldn’t identify the artist or title. (A Meta spokesman said another software update it released after my museum visit improved this ability.)

After the update, I tried looking at images on my computer screen of more famous works of art, including the Mona Lisa, and the A.I. correctly identified those.

BRIAN: At a Chinese restaurant, I pointed at a menu item written in Chinese and asked Meta to translate it into English, but the A.I. said it currently only supported English, Spanish, Italian, French and German. (I was surprised, because Mark Zuckerberg learned Mandarin.)

MIKE: It did a pretty good job translating a book title into German from English.

Meta’s A.I.-powered glasses offer an intriguing glimpse into a future that feels distant. The flaws underscore the limitations and challenges in designing this type of product. The glasses could probably do better at identifying zoo animals and fruit, for instance, if the camera had a higher resolution — but a nicer lens would add bulk. And no matter where we were, it was awkward to speak to a virtual assistant in public. It’s unclear if that ever will feel normal.

But when it worked, it worked well and we had fun — and the fact that Meta’s A.I. can do things like translate languages and identify landmarks through a pair of hip-looking glasses shows how far the tech has come.





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Airline keeps mistaking 101-year-old woman for baby

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An IT glitch leaves the cabin crew expecting to welcome a baby on board rather than a centenarian.



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In Race to Build A.I., Tech Plans a Big Plumbing Upgrade

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If 2023 was the tech industry’s year of the A.I. chatbot, 2024 is turning out to be the year of A.I. plumbing. It may not sound as exciting, but tens of billions of dollars are quickly being spent on behind-the-scenes technology for the industry’s A.I. boom.

Companies from Amazon to Meta are revamping their data centers to support artificial intelligence. They are investing in huge new facilities, while even places like Saudi Arabia are racing to build supercomputers to handle A.I. Nearly everyone with a foot in tech or giant piles of money, it seems, is jumping into a spending frenzy that some believe could last for years.

Microsoft, Meta, and Google’s parent company, Alphabet, disclosed this week that they had spent more than $32 billion combined on data centers and other capital expenses in just the first three months of the year. The companies all said in calls with investors that they had no plans to slow down their A.I. spending.

In the clearest sign of how A.I. has become a story about building a massive technology infrastructure, Meta said on Wednesday that it needed to spend billions more on the chips and data centers for A.I. than it had previously signaled.

“I think it makes sense to go for it, and we’re going to,” Mark Zuckerberg, Meta’s chief executive, said in a call with investors.

The eye-popping spending reflects an old parable in Silicon Valley: The people who made the biggest fortunes in California’s gold rush weren’t the miners — they were the people selling the shovels. No doubt Nvidia, whose chip sales have more than tripled over the last year, is the most obvious A.I. winner.

The money being thrown at technology to support artificial intelligence is also a reminder of spending patterns of the dot-com boom of the 1990s. For all of the excitement around web browsers and newfangled e-commerce websites, the companies making the real money were software giants like Microsoft and Oracle, the chipmaker Intel, and Cisco Systems, which made the gear that connected those new computer networks together.

But cloud computing has added a new wrinkle: Since most start-ups and even big companies from other industries contract with cloud computing providers to host their networks, the tech industry’s biggest companies are spending big now in hopes of luring customers.

Google’s capital expenditures — largely the money that goes into building and outfitting data centers — almost doubled in the first quarter, the company said. Microsoft’s were up 22 percent. Amazon, which will report earnings on Tuesday, is expected to add to that growth.

Meta’s investors were unhappy with Mr. Zuckerberg, sending his company’s share price down more than 16 percent after the call. But Mr. Zuckerberg, who just a few years ago was pilloried by shareholders for a planned spending spree on augmented and virtual reality, was unapologetic about the money that his company is throwing at A.I. He urged patience, potentially for years.

“Our optimism and ambitions have just grown quite a bit,” he said.

Investors had no problem stomaching Microsoft’s spending. Microsoft is the only major tech company to report financial details of its generative A.I. business, which it said had contributed to more than a fifth of the growth of its cloud computing business. That amounted to $1 billion in three months, analysts estimated.

Microsoft said its generative A.I. business could have been even bigger — if the company had enough data center supply to meet the demand, underscoring the need to keep on building.

The A.I. investments are creating a halo for Microsoft’s core cloud computing offering, Azure, helping it draw new customers. “Azure has become a port of call for pretty much anybody who is doing any A.I. project,” Satya Nadella, Microsoft’s chief executive, said on Thursday.

(The New York Times sued Microsoft and its partner, OpenAI, in December, claiming copyright infringement of news content related to their A.I. systems.)

Google said sales from its cloud division were up 28 percent, including “an increasing contribution from A.I.”

In a letter to shareholders this month, Andy Jassy, Amazon’s chief executive, said that much attention had been paid to A.I. applications, like ChatGPT, but that the opportunity for more technical efforts, around infrastructure and data, was “gigantic.”

For the computing infrastructure, “the key is the chip inside it,” he said, emphasizing that bringing down costs and wringing more performance out of the chips is key to Amazon’s effort to develop its own A.I. chips.

Infrastructure demands generally fall into two buckets: First, there is building the largest, cutting-edge models, which some A.I. developers say could soon top $1 billion for each new round. Chief executives said that being able to work on developing cutting-edge systems, either directly or with partners, was essential for remaining at the forefront of A.I.

And then there is what’s called inferencing, or querying the models to actually use them. This can involve customers tapping into the systems, like an insurer using generative A.I. to summarize a customer complaint, or the companies themselves putting A.I. directly into their own products, as Meta recently did by embedding a chatbot assistant in Facebook and Instagram. That’s also expensive.

Data centers take time to build and outfit. Chips face supply shortages and costly fabrication. With such long-term bets, Susan Li, Meta’s finance chief, said the company was building with “fungibility.” It wants wiggle room to change how it uses the infrastructure, if the future turns out to be not exactly what it expects.



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How Pastor Chad Nedohin Helped Turn Trump Media Into a Meme Stock

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One afternoon last month, Chad Nedohin, a part-time pastor and die-hard supporter of Donald J. Trump, put on a pirate costume, set up his microphone and recited a prayer.

Mr. Nedohin was opening his latest livestream on the right-wing video site Rumble, where he has about 1,400 followers who share a devotion to Trump Media & Technology Group, the former president’s social media company.

“Faith comes from hearing — that is, hearing the good news about Christ,” said Mr. Nedohin, 40, his face framed by fake dreadlocks under a pirate-style hat.

Mr. Nedohin and his viewers were waiting for the results of a merger vote that would determine whether Mr. Trump’s company could start selling stock on Wall Street. Soon the news about Trump Media arrived via an audio feed: It was going public.

Mr. Nedohin raised his arms in celebration. A few minutes later, he cut to a video of a rocket blasting into the sky, with Mr. Trump photoshopped onto it. “We are holding Trump stocks,” he declared. “We are now financial investors in him.”

Mr. Nedohin is one of hundreds of thousands of amateur investors who own shares of Trump Media, convinced that its sole platform, Truth Social, will become one of the world’s most popular and profitable social media sites. In recent months, tens of thousands of Trump fans have tuned into Mr. Nedohin’s webcasts, where he exhorts viewers to invest in the company, arguing that “Trump always wins in the long run.”

The enthusiasm from Mr. Nedohin and other Trump supporters has turned Trump Media into the latest “meme stock,” driven more by internet hype than business fundamentals. In the public markets, these amateur investors have found themselves pitted against professional short sellers, specialist investors who bet that stocks will fail, as well as frantic day traders looking for a quick profit.

As a result, Trump Media’s stock price has swung wildly, sometimes dropping as much as 18 percent or rising as much as 28 percent in a single day. The company is “a meme stock on steroids,” one analyst recently wrote.

The stock’s unpredictable swings have major implications for Mr. Trump’s finances. The presumptive Republican presidential nominee owns more than $4 billion in Trump Media shares, including recently awarded bonus shares — a potential lifeline as he faces steep legal bills tied to the cases against him. The stock’s volatility could add hundreds of millions of dollars to his paper wealth — or vaporize it.

A Canadian citizen, Mr. Nedohin cannot vote for Mr. Trump in November. But he owns more than 1,000 shares in Trump Media, which are trading at about $36, down roughly 50 percent from its peak in March.

Mr. Nedohin began buying the shares in late 2021, after Digital World Acquisition Corporation, a publicly traded shell company, announced plans to merge with Trump Media. Digital World was trading at $93 a share at the time.

Once the merger was final on March 25, Trump Media began trading on Wall Street, and the original Digital World shares were converted into Trump Media stock under the ticker DJT.

Mr. Nedohin said he had held on to his shares and didn’t plan to sell. On the livestream, he interacts with viewers who use screen names like GOATPOTUS, urging them to keep the faith even when prices fall. “Don’t freak out,” he said on a recent show.

Truth Social “has the potential to easily eclipse Twitter,” the app now known as X, Mr. Nedohin said in an interview. “I’m not concerned about my investment whatsoever.”

Mr. Nedohin doesn’t like the term “meme stock” and prefers “populist retail investment.” But if he’s wrong about his bet, the financial impact on his viewers and Trump Media’s other investors could be devastating, given the risks of these volatile stocks.

By traditional metrics, Trump Media is not a successful business. The company reported $4 million in revenue last year and $58 million in losses. Compared with mainstream social sites, Truth Social has a minuscule audience — 1.5 million people visited the site last month, according to data from Similarweb, a small fraction of the 75 million who logged on to X.

Still, loyal investors like Mr. Nedohin are one reason Trump Media’s stock now trades at a valuation roughly equivalent to that of established companies like Wendy’s and Western Union. This month, Devin Nunes, Trump Media’s chief executive and a former Republican congressman, cited the enthusiasm of retail investors as a sign of the company’s strength.

Any suggestion that those traders might lose money amounts to “punching down at hundreds of thousands of everyday American retail investors,” Shannon Devine, a Trump Media spokeswoman, said in an email.

From his home in Edmonton, Alberta, Mr. Nedohin works as an engineer, calculating mechanical stress on pipes. But his passion is ministry: Although not ordained, he said, he has taken part-time gigs at local churches, leading worship groups as a nondenominational lay pastor. He’s also a guitarist, with a portfolio of original Christian songs, some of which have played on Canadian radio.

Before Truth Social, he said, he sometimes posted on Facebook but never got much traction. He craved an alternative.

In 2021, Mr. Trump co-founded Trump Media after he was kicked off Twitter for his incendiary posts before the U.S. Capitol riot on Jan. 6. A year later, Truth Social went live, managed by two former contestants on “The Apprentice.”

Mr. Nedohin had been a fan ever since Mr. Trump glided down the escalator at Trump Tower in Manhattan to announce his 2016 campaign. He considers the former president a supporter of Christian values, and believes the 2020 election was stolen from him.

Mr. Nedohin created a Truth Social account in May 2022 and soon found a community that shared his two main interests: Christianity and Digital World’s stock.

“I’ve never met such an amazing group of people who are so happy to have freedom of speech,” he said.

But Truth Social was glitchy, and Mr. Trump took months to post his first message. In 2022, the two “Apprentice” contestants left Trump Media after the Securities and Exchange Commission opened an investigation into the Digital World merger.

That inquiry delayed Trump Media’s plans to go public, and the price of Digital World’s stock dropped. Mr. Nedohin was concerned. But in the spring of 2022, he said, he received a message from God.

“You ask him to move a mountain, and sometimes he hands you a shovel,” Mr. Nedohin said. This time, he said, “that little voice inside” told him to start a podcast.

Mr. Nedohin started the Rumble show, “DWAC’d Live!” — a reference to Digital World’s stock symbol. On the show, he tried to mobilize Truth Social’s users, urging them to send letters to Congress protesting the S.E.C.’s investigation.

He adopted the pirate persona to drive attention, he said, calling himself “Captain DWAC” on the livestream. On Truth Social, he emerged as what passes for an influencer, with 6,600 followers.

Mr. Nedohin’s advocacy got the attention of Eric Swider, a Trump Media board member and former Digital World chief executive, who appeared on “DWAC’d Live!” last year.

“Make sure that you help get the word out there,” Mr. Swider said on the show, adding that “we’re very, very grateful for your assistance.”

In July, Digital World settled with the S.E.C. for $18 million, paving the way for the merger with Trump Media to be approved last month. Mr. Nedohin was ecstatic.

But the drop in Trump Media’s share price has caused consternation online, with some Truth Social users complaining that they have lost money. Much of the frustration has been directed at short sellers.

Trump Media posted instructions for shareholders on its website explaining how to prevent brokerage firms from lending shares to short sellers. Last week, Mr. Nunes wrote a letter to the Nasdaq, where the stock is listed, complaining about “potential market manipulation.” He followed that up with letters on Tuesday to the Republican chairs of several congressional committees. Mr. Trump previously warned that short sellers could “get hurt very badly.”

“As a Christian, I don’t believe in shorting,” Mr. Nedohin said. “I believe in only building for the positive.”

He remains fully committed to Truth Social. During the S.E.C. protest, he said, he returned to X, hoping to raise awareness about the campaign. Now that Trump Media is a public company, “I will never need to reach any of the people that are on there,” he said.

As his livestream ended, Mr. Nedohin deleted his X account.

Audio produced by Adrienne Hurst.



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