At this point, it’s becoming easier to say which AI startups Mark Zuckerberg hasn’t looked at acquiring.
Technology
Meta held talks to buy Thinking Machines, Perplexity, and Safe Superintelligence
In addition to Ilya Sutskever’s Safe Superintelligence (SSI), sources tell me the Meta CEO recently discussed buying ex-OpenAI CTO Mira Murati’s Thinking Machines Lab and Perplexity, the AI-native Google rival. None of these talks progressed to the formal offer stage for various reasons, including disagreements over deal prices and strategy, but together they illustrate how aggressively Zuckerberg has been canvassing the industry to reboot his AI efforts.
Now, details about the team Zuckerberg is assembling are starting to come into view: SSI co-founder and CEO Daniel Gross, along with ex-Github CEO Nat Friedman, are poised to co-lead the Meta AI assistant. Both men will report to Alexandr Wang, the former Scale CEO Zuckerberg just paid over $14 billion to quickly hire. Wang told his Scale team goodbye last Friday and was in the Meta office on Monday. This week, he has been meeting with top Meta leaders (more on that below) and continuing to recruit for the new AI team Zuckerberg has tasked him with building. I expect the team to be unveiled as soon as next week.
Rather than join Meta, Sutskever, Murati, and Perplexity CEO Aravind Srinivas have all gone on to raise more money at higher valuations. Sutskever, a titan of the AI research community who co-founded OpenAI, recently raised a couple of billion dollars for SSI. Both Meta and Google are investors in his company, I’m told. Murati also just raised a couple of billion dollars. Neither she nor Sutskever is close to releasing a product. Srinivas, meanwhile, is in the process of raising around $500 million for Perplexity.
Spokespeople for all the companies involved either declined to comment or didn’t respond in time for publication. The Information and CNBC first reported Zuckerberg’s talks with Safe Superintelligence, while Bloomberg first reported the Perplexity talks.
While Zuckerberg’s recruiting drive is motivated by the urgency he feels to fix Meta’s AI strategy, the situation also highlights the fierce competition for top AI talent these days. In my conversations this week, those on the inside of the industry aren’t surprised by Zuckerberg making nine-figure — or even, yes, 10-figure — compensation offers for the best AI talent. There are certain senior people at OpenAI, for example, who are already compensated in that ballpark, thanks to the company’s meteoric increase in valuation over the last few years.
Speaking of OpenAI, it’s clear that CEO Sam Altman is at least a bit rattled by Zuckerberg’s hiring spree. His decision to appear on his brother’s podcast this week and say that “none of our best people” are leaving for Meta was probably meant to convey a position of strength, but in reality, it looks like he is throwing his former colleagues under the bus. I was confused by Altman’s suggestion that Meta paying a lot upfront for talent won’t “set up a great culture.” After all, didn’t OpenAI just pay $6.5 billion to hire Jony Ive and his small hardware team?
“We think that glasses are the best form factor for AI”
When I joined a Zoom call with Alex Himel, Meta’s VP of wearables, this week, he had just gotten off a call with Zuckerberg’s new AI chief, Alexandr Wang.
“There’s an increasing number of Alexes that I talk to on a regular basis,” Himel joked as we started our conversation about Meta’s new glasses release with Oakley. “I was just in my first meeting with him. There were like three people in a room with the camera real far away, and I was like, ‘Who is talking right now?’ And then I was like, ‘Oh, hey, it’s Alex.’”
The following Q&A has been edited for length and clarity:
How did your meeting with Alex just now go?
The meeting was about how to make AI as awesome as it can be for glasses. Obviously, there are some unique use cases in the glasses that aren’t stuff you do on a phone. The thing we’re trying to figure out is how to balance it all, because AI can be everything to everyone or it could be amazing for more specific use cases.
We’re trying to figure out how to strike the right balance because there’s a ton of stuff in the underlying Llama models and that whole pipeline that we don’t care about on glasses. Then there’s stuff we really, really care about, like egocentric view and trying to feed video into the models to help with some of the really aspirational use cases that we wouldn’t build otherwise.
You are referring to this new lineup with Oakley as “AI glasses.” Is that the new branding for this category? They are AI glasses, not smart glasses?
We refer to the category as AI glasses. You saw Orion. You used it for longer than anyone else in the demo, which I commend you for. We used to think that’s what you needed to hit scale for this new category. You needed the big field of view and display to overlay virtual content. Our opinion of that has definitely changed. We think we can hit scale faster, and AI is the reason we think that’s possible.
Right now, the top two use cases for the glasses are audio — phone calls, music, podcasts — and taking photos and videos. We look at participation rates of our active users, and those have been one and two since launch. Audio is one. A very close second is photos and videos.
AI has been number three from the start. As we’ve been launching more markets — we’re now in 18 — and we’ve been adding more features, AI is creeping up. Our biggest investment by a mile on the software side is AI functionality, because we think that glasses are the best form factor for AI. They are something you’re already wearing all the time. They can see what you see. They can hear what you hear. They’re super accessible.
Is your goal to have AI supersede audio and photo to be the most used feature for glasses, or is that not how you think about it?
From a math standpoint, at best, you could tie. We do want AI to be something that’s increasingly used by more people more frequently. We think there’s definitely room for the audio to get better. There’s definitely room for image quality to get better. The AI stuff has much more headroom.
How much of the AI is onboard the glasses versus the cloud? I imagine you have lots of physical constraints with this kind of device.
We’ve now got one billion-parameter models that can run on the frame. So, increasingly, there’s stuff there. Then we have stuff running on the phone.
If you were watching WWDC, Apple made a couple of announcements that we haven’t had a chance to test yet, but we’re excited about. One is the Wi-Fi Aware APIs. We should be able to transfer photos and videos without having people tap that annoying dialogue box every time. That’d be great. The second one was processor background access, which should allow us to do image processing when you transfer the media over. Syncing would work just like it does on Android.
Do you think the market for these new Oakley glasses will be as big as the Ray-Bans? Or is it more niche because they are more outdoors and athlete-focused?
We work with EssilorLuxottica, which is a great partner. Ray-Ban is their largest brand. Within that, the most popular style is Wayfair. When we launched the original Ray-Ban Meta glasses, we went with the most popular style for the most popular brand.
Their second biggest brand is Oakley. A lot of people wear them. The Holbrook is really popular. The HSTN, which is what we’re launching, is a really popular analog frame. We increasingly see people using the Ray-Ban Meta glasses for active use cases. This is our first step into the performance category. There’s more to come.
What’s your reaction to Google’s announcements at I/O for their XR glasses platform and eyewear partnerships?
We’ve been working with EssilorLuxottica for like five years now. That’s a long time for a partnership. It takes a while to get really in sync. I feel very good about the state of our partnership. We’re able to work quickly. The Oakley Meta glasses are the fastest program we’ve had by quite a bit. It took less than nine months.
I thought the demos they [Google] did were pretty good. I thought some of those were pretty compelling. They didn’t announce a product, so I can’t react specifically to what they’re doing. It’s flattering that people see the traction we’re getting and want to jump in as well.
On the AR glasses front, what have you been learning from Orion now that you’ve been showing it to the outside world?
We’ve been going full speed on that. We’ve actually hit some pretty good internal milestones for the next version of it, which is the one we plan to sell. The biggest learning from using them is that we feel increasingly good about the input and interaction model with eye tracking and the neural band. I wore mine during March Madness in the office. I was literally watching the games. Picture yourself sitting at a table with a virtual TV just above people’s heads. It was amazing.
- TikTok gets to keep operating illegally. As expected, President Trump extended his enforcement deadline for the law that has banned a China-owned TikTok in the US. It’s essential to understand what is really happening here: Trump is instructing his Attorney General not to enforce earth-shattering fines on Apple, Google, and every other American company that helps operate TikTok. The idea that he wouldn’t use this immense leverage to extract whatever he wants from these companies is naive, and this whole process makes a mockery of everyone involved, not to mention the US legal system.
- Amazon will hire fewer people because of AI. When you make an employee memo a press release, you’re trying to tell the whole world what’s coming. In this case, Amazon CEO Andy Jassy wants to make clear that he’s going to fully embrace AI to cut costs. Roughly 30 percent of Amazon’s code is already written by AI, and I’m sure Jassy is looking at human-intensive areas, such as sales and customer service, to further automate.
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As always, I welcome your feedback, especially if you’ve also turned down Zuck. You can respond here or ping me securely on Signal.
Technology
Meta expands nuclear power ambitions to include Bill Gates’ startup
These AI projects include Prometheus, the first of several supercluster computing systems, which is expected to come online in New Albany, Ohio, sometime this year. Meta is funding the construction of new nuclear reactors as part of the agreements, the first of which may come online “as early as 2030.” These announcements are part of Meta’s ongoing goal to support its future AI operations with nuclear energy, having previously signed a deal with Constellation to revive an aging nuclear power plant last year.
Financial information for the agreements hasn’t been released, but Meta says that it will “pay the full costs for energy used by our data centers so consumers don’t bear these expenses.”
“Our agreements with Vistra, TerraPower, Oklo, and Constellation make Meta one of the most significant corporate purchasers of nuclear energy in American history,” Meta’s chief global affairs officer, Joel Kaplan, said in the announcement. “State-of-the-art data centers and AI infrastructure are essential to securing America’s position as a global leader in AI.”
Technology
Why January is the best time to remove personal data online
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January feels like a reset. A new calendar. New goals. New habits. While you clean out your inbox, organize paperwork or set resolutions, however, scammers also hit reset, and they start with your personal data.
That is because January is one of the most important months for online privacy. This is when data brokers refresh profiles and scammers rebuild their target lists.
As a result, the longer your information stays online, the more complete and valuable your profile becomes. To help address this, institutions like the U.S. Department of the Treasury have released advisories urging people to stay vigilant and avoid data-related scams.
For that reason, taking action early in the year can significantly reduce scam attempts, lower identity theft risks, and limit unwanted exposure for the rest of the year.
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January is when data brokers refresh profiles and scammers rebuild target lists, making early action critical for online privacy. (iStock)
STOP DATA BROKERS FROM SELLING YOUR INFORMATION ONLINE
Why personal data does not expire and keeps compounding online
Many people assume old information eventually becomes useless. Unfortunately, that’s not how data brokers work.
Data brokers don’t just store a snapshot of who you are today. They build living profiles that grow over time, pulling from:
- Public records (property sales, court filings, voter registrations)
- Retail purchases and loyalty programs
- App usage and location data
- Past addresses, phone numbers, and relatives
- Marketing databases and online activity.
Each year adds another layer. A new address. A changed phone number. A family connection. A retirement milestone. On its own, one data point doesn’t mean much. But together, they create a detailed identity profile that scammers can use to convincingly impersonate you. That’s why waiting makes things worse, not better.
Why scammers ‘rebuild’ targets at the start of the year
Scammers don’t randomly target people. They work from lists. At the beginning of the year, those lists get refreshed.
Why January matters so much:
- Data brokers update and resell profiles after year-end records close
- New public filings from the previous year become searchable
- Marketing databases reset campaigns and audience segments
- Scam networks repackage data into “fresh” target lists.
Think of it like the upcoming spring cleaning, except it’s criminals organizing identities to exploit for the next 12 months.
If your data is still widely exposed in January, you’re far more likely to:
Once your profile is flagged as responsive or profitable, it often stays in circulation.
As personal information accumulates across databases, digital profiles grow more detailed and more valuable to scammers over time. (Kurt “CyberGuy” Knutsson)
Why taking action in January protects you all year long
Removing your data early isn’t just about stopping scams today; it’s about cutting off the supply chain that fuels them. When your information is removed from data broker databases:
- It’s harder for scammers to find accurate contact details
- Phishing messages become less convincing
- Impersonation attempts fail more often
- Your identity becomes less valuable to resell.
This has a compounding benefit in the opposite direction. The fewer lists you appear on in January, the fewer times your data gets reused, resold, and recycled throughout the year. That’s why I consistently recommend addressing data exposure before problems start, not after.
Why retirees and families feel the impact first
January is especially important for retirees and families because they’re more likely to become targets of fraud, scams, and other crimes.
Retirees often have:
- Long addresses and employment histories
- Stable credit profiles
- Fewer active credit applications
- Public retirement and property records
Families add another layer of risk:
- Relatives are linked together in broker profiles
- One exposed family member can expose others
- Shared addresses and phone plans increase visibility
Scammers know this. That’s why households with established financial histories are prioritized early in the year.
Why quick fixes don’t work
Many people try to “start fresh” in January by:
Those steps help, but they don’t remove your data from broker databases. Credit monitoring services alert you after something goes wrong. Password changes don’t affect public profiles. And unsubscribing doesn’t stop data resale. If your personal information is still sitting in hundreds of databases, scammers can find you.
The January privacy reset that actually works
If you want fewer scam attempts for the rest of the year, the most effective step is removing your personal data at the source.
You can do this in one of two ways. You can submit removal requests yourself, or you can use a professional data removal service to handle the process for you.
Removing your data yourself
Manually removing your data means identifying dozens or even hundreds of data broker websites, finding their opt-out forms and submitting removal requests one by one. You also need to verify your identity, track responses and repeat the process whenever your information reappears.
This approach works, but it requires time, organization, and ongoing follow-up.
Using a data removal service
A data removal service handles this process on your behalf. These services typically:
- Send legal data removal requests to large networks of data brokers
- Monitor for reposted information and submit follow-up removals
- Continue tracking your exposure throughout the year
- Manage a process that most people cannot realistically maintain on their own
Removing your data at the start of the year helps reduce scam attempts, phishing messages and identity theft risks all year long. (iStock)
Because these services handle sensitive personal information, it is important to choose one that follows strict security standards and uses verified removal methods.
While no service can guarantee the complete removal of your data from the internet, a data removal service is really a smart choice. They aren’t cheap, and neither is your privacy. These services do all the work for you by actively monitoring and systematically erasing your personal information from hundreds of websites. It’s what gives me peace of mind and has proven to be the most effective way to erase your personal data from the internet. By limiting the information available, you reduce the risk of scammers cross-referencing data from breaches with information they might find on the dark web, making it harder for them to target you.
RETIREES LOSE MILLIONS TO FAKE HOLIDAY CHARITIES AS SCAMMERS EXPLOIT SEASONAL GENEROSITY
Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com.
Get a free scan to find out if your personal information is already out on the web: Cyberguy.com.
Kurt’s key takeaways
Scammers don’t wait for mistakes. They wait for exposed data. January is when profiles are refreshed, lists are rebuilt, and targets are chosen for the year ahead. The longer your personal information stays online, the more complete-and dangerous-your digital profile becomes. The good news? You can stop the cycle. Removing your data now reduces scam attempts, protects your identity, and gives you a quieter, safer year ahead. If you’re going to make one privacy move this year, make it early-and make it count.
Have you ever been surprised by how much of your personal information was already online? Let us know by writing to us at Cyberguy.com.
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Technology
Xbox’s Towerborne is switching from a free-to-play game to a paid one
Towerborne, a side-scrolling action RPG published by Xbox Game Studios that has been available in early access, will officially launch on February 26th. But instead of launching as a free-to-play, always-on online game as originally planned, Towerborne is instead going to be a paid game that you can play offline.
“You will own the complete experience permanently, with offline play and online co-op,” Trisha Stouffer, CEO and president of Towerborne developer Stoic, says in an Xbox Wire blog post. “This change required deep structural rebuilding over the past year, transforming systems originally designed around constant connectivity. The result is a stronger, more accessible, and more player-friendly version of Towerborne — one we’re incredibly proud to bring to launch.”
“After listening to our community during Early Access and Game Preview, we learned players wanted a complete, polished experience without ongoing monetization mechanics,” according to an FAQ. “Moving to a premium model lets us deliver the full game upfront—no live-service grind, no pay-to-win systems—just the best version of Towerborne.”
With the popular live service games like Fortnite and Roblox getting harder to usurp, Towerborne’s switch to a premium, offline-playable experience could make it more enticing for players who don’t want to jump into another time-sucking forever game. It makes Towerborne more appealing to me, at least.
With the 1.0 release of the game, Towerborne will have a “complete” story, new bosses, and a “reworked” difficulty system. You’ll also be able to acquire all in-game cosmetics for free through gameplay, with “no more cosmetic purchasing.” Players who are already part of early access will still be able to play the game.
Towerborne will launch on February 26th on Xbox Series X / S, Xbox on PC, Game Pass, Steam, and PS5. The standard edition will cost $24.99, while the deluxe edition will cost $29.99.
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