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 Max Holloway and Mark Zuckerberg
Facebook founder and CEO Mark Zuckerberg hugging what is presumably AI (Cooper Neill/Zuffa LLC via Getty Images)

Meta exhaustingly tries to merge the metaverse and AI

Gonna have to rename the company... again

With each Meta earnings call comes a new challenge: How many times the company can say AI. On its latest earnings call, the company and investors mentioned “AI” a record 100 times. “Metaverse,” the virtual reality endeavor that prompted the company to change its name from Facebook to Meta, only surfaced four times. A few years ago these terms enjoyed equal frequency.

Talk of the Metaverse has come to have a distinctly bad effect on the stock price, as investors worry it’s an expensive a road to nowhere. AI on the other hand, has generally been catnip to them (even if it too ultimately ends up being an expensive road to nowhere). Hence the pivot to talking about AI instead of the Metaverse.

This time, though, copious mentions of the tech buzzword didn’t seem to enthrall Wall Street, which instead focused on the company’s growing capital spending. The stock was down more than 15% after hours.

Perhaps, though, investors didn’t quite buy what founder and CEO Mark Zuckerberg was trying to sell. During the earnings call Zuck tried to thread a strange needle. He mentioned that both the Metaverse and AI are part of the company’s longterm focus. He also tried to make them seem like they’re working together.

“In addition to our work on AI, our other long term focus is the metaverse. It's been interesting to see how these two themes have come together,” he said. “This is clearest when you look at glasses.”

Here Zuck referred to Meta’s Ray-Bans, which the company announced last week now include Meta AI with Vision, which lets you ask your glasses what you’re seeing — Alexa for glasses on the go.

I used to think that AR glasses wouldn't really be a mainstream product until we had full holographic displays — and I still think that will be awesome and is mature state of the product. But now it seems pretty clear that there's also a meaningful market for fashionable AI glasses without a display. Glasses are the ideal device for an AI assistant because you can let them see what you see and hear what you hear, so they have full context on what's going on around you as they help you with whatever you're trying to do

It seems he considers such AI-assisted glasses to be augmented reality and a stepping stone on the way to virtual reality.

It does bear repeating that this man runs a social network that has a very successful advertising business. That’s what the company is. The whole holograms in glasses thing, it’s all likely a pipe dream.

Reality Labs, the division formed with the Meta rebranding that focusses on the Oculus VR headsets, the gateway to the Metaverse, is also working on AI.

One strategy dynamic that I've been reflecting on is that an increasing amount of our Reality Labs work is going towards serving our AI efforts. We currently report on our financials as if Family of Apps and Reality Labs were two completely separate businesses, but strategically I think of them as fundamentally the same business with the vision of Reality Labs to build the next generation of computing platforms in large part so that way we can build the best apps and experiences on top of them. Over time, we'll need to find better ways to articulate the value that’s generated here across both segments so it doesn't just seem like our hardware costs increase as our glasses ecosystem scales but all the value flows to a different segment.

Sure.

During the Q&A, Bank of America analyst Justin Post asked, “Is there any way you could kind of use some of the Metaverse spend over into AI?”

Zuckerberg, I think, said no:

[O]n on the question of shifting resources from other parts of the company. I would say broadly, we actually are doing that in a lot of places in terms of shifting resources from other areas, whether it's compute resources or different things in order to advance the AI efforts. For Reality Labs specifically, I'm still really optimistic about building these new computing platforms long term. I mentioned in my remarks up front, that one of the bigger areas that we're investing in Reality Labs is glasses. We think that that's going to be a really important platform for the future. Our outlook for that, I think, has improved quite a bit because previously we thought that that would need to wait until we have these full holographic displays to be a large market. And now we're a lot more focused on the glasses that we're delivering in partnership with Ray-Ban, which I think are going really well. And so that, I think, has the ability to be a pretty meaningful and growing platform sooner than I would have expected. So it is true that more of the Reality Labs work, like I said, is sort of focused on the AI goals as well. But I still think that we should focus on building these long-term platforms, too.

On one hand, this could be the meandering talk of an executive that has lost track of what exactly the money he makes comes from.

On the other, maybe it’s the rest of us who can’t understand why the metaverse (whatever that is) fueled by AI (whatever that is) will change the way an advertising company makes money.

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Meta to lay off 8,000 employees, move 7,000 to new initiatives related to AI

On Wednesday, Reuters reported Meta plans to lay off about 8,000 employees in three batches and move another 7,000 employees to “new initiatives related to AI workflows.” The company also plans to “eliminate managerial roles,” though Reuters did not specify how many.

Reuters had previously reported the number and date of the layoffs, but details of the restructuring come from a new internal document from the company’s head of human resources. The cuts come as Meta tries to balance its enormous capex budget of $125 billion to $145 billion this year, as it builds out its AI infrastructure.

As of the company’s last earnings report, its headcount was 77,986.

Reuters had previously reported the number and date of the layoffs, but details of the restructuring come from a new internal document from the company’s head of human resources. The cuts come as Meta tries to balance its enormous capex budget of $125 billion to $145 billion this year, as it builds out its AI infrastructure.

As of the company’s last earnings report, its headcount was 77,986.

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Google employees are now competing with Anthropic and Meta for access to Google compute

Google built its reputation as a paradise for ambitious researchers: a place where smart people got massive resources and freedom to experiment.

But in the AI era, the physical infrastructure that powers those breakthroughs is maxed out, and even Google’s own employees are reportedly struggling to get enough computing power.

According to Bloomberg, the bottleneck comes down to hardware. Google’s custom-built AI chips — tensor processing units, or TPUs — are in such high demand that internal researchers say they’re effectively competing for rack space against massive, paying cloud customers like Anthropic and Meta. Frustrated by the bureaucracy of fighting for server time, top engineers are jumping ship to launch their own startups, arguing they can secure more reliable access to infrastructure on the open market than inside the company that actually builds it.

In other words: Google became so successful at selling AI infrastructure that its own researchers now have to justify experimental projects against revenue-generating workloads and a more than $460 billion backlog of paying tenants.

According to Bloomberg, the bottleneck comes down to hardware. Google’s custom-built AI chips — tensor processing units, or TPUs — are in such high demand that internal researchers say they’re effectively competing for rack space against massive, paying cloud customers like Anthropic and Meta. Frustrated by the bureaucracy of fighting for server time, top engineers are jumping ship to launch their own startups, arguing they can secure more reliable access to infrastructure on the open market than inside the company that actually builds it.

In other words: Google became so successful at selling AI infrastructure that its own researchers now have to justify experimental projects against revenue-generating workloads and a more than $460 billion backlog of paying tenants.

$420

Elon Musk once promised to take Tesla private at $420. More recently, he’s been offering xAI employees $420 to hand over their private tax returns as training data for Grok, Bloomberg reports, citing internal chats. In an effort to boost the chatbot’s tax-prep capabilities, the company asked employees — as well as friends and family — to submit completed tax returns in exchange for cash that, two months later, still hasn’t materialized. xAI is owned by the soon-to-be-public SpaceX.

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EY retracts report with apparent AI hallucinations

Consulting firm EY has retracted a report on travel loyalty points that an AI watchdog had found was full of hallucinations.

AI-detection firm GPTZero alleged that the report was “riddled with hallucinations,” including citing numerous sources that didn’t appear to exist. Sherwood News exclusively reported on GPTZero’s findings about the report on Thursday. EY didn’t respond to multiple requests for comment.

The firm later told the Financial Times that it had retracted the report, saying it was “reviewing the circumstances that led to this article’s publication.” It said the study wasn’t connected to work for any of its clients. 

“EY Canada takes the accuracy of all the content we publish seriously and we have an organization-wide commitment to the responsible use of AI,” EY said, according to the FT.

A link to the report on EY’s site now displays an error: “Oops! We couldn’t find the page you were looking for.” 

The firm later told the Financial Times that it had retracted the report, saying it was “reviewing the circumstances that led to this article’s publication.” It said the study wasn’t connected to work for any of its clients. 

“EY Canada takes the accuracy of all the content we publish seriously and we have an organization-wide commitment to the responsible use of AI,” EY said, according to the FT.

A link to the report on EY’s site now displays an error: “Oops! We couldn’t find the page you were looking for.” 

tech

Elon Musk expects Tesla Robotaxis to be “widespread” in the US by the end of the year

After an uncharacteristically clear-eyed earnings call where Elon Musk was cautious about the timing of the company’s many ambitious goals, the Tesla CEO is back to making his usual unlikely predictions:

“We already have some vehicles operating with no people inside and no safety monitors in three cities in Texas, and it probably will be widespread in the US by the end of this year,” Musk said by video at the Smart Mobility Summit in Tel Aviv on Monday. It’s a prediction Musk has made before, but that doesn’t mean it’s going to happen.

Tesla’s expansion of its Robotaxi service, which launched nearly a year ago, has been painstakingly slow. The vast majority of the Robotaxis — more than 500 in the Bay Area — have a person behind the wheel using a version of Supervised Full Self-Driving. In Austin, 12 of the 40 Robotaxis have been spotted driving unsupervised in the last week, according to Robotaxi Tracker. There are two more each in Dallas and Houston. Alphabet’s Waymo, by comparison, is already operating more than 3,000 of its driverless vehicles in cities across the country.

“Initially, were taking a very cautious approach to the rollout here,” Musk had said on the last earnings call, estimating the service would be in a dozen states by the end of the year. Today he was more bullish, estimating that in 5 or 10 years, “90% of all distance driven will be driven by the AI in a self-driving car.”

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