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Inside Elon Musk’s messy breakup with OpenAI

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Inside Elon Musk’s messy breakup with OpenAI

As OpenAI was ironing out a new deal with Microsoft in 2016 — one that would nab the young startup critical compute to build what would become ChatGPT — Sam Altman needed the blessing of his biggest investor, Elon Musk.

“$60MM of compute for $10MM, and input from us on what they deploy in the cloud,” Altman messaged Musk in September 2016, according to newly revealed emails. Microsoft wanted OpenAI to provide feedback on and promote (in tech circles, “evangelize”) Microsoft AI tools like Azure Batch. Musk hated the idea, saying it made him “feel nauseous.” 

Altman came back with another offer: “Microsoft is now willing to do the agreement for a full $50m with ‘good faith effort at OpenAI’s sole discretion’ and full mutual termination rights at any time. No evangelizing. No strings attached. No looking like lame Microsoft marketing pawns. Ok to move ahead?”

“Fine by me if they don’t use this in active messaging,” Musk responded. “Would be worth way more than $50M not to seem like Microsoft’s marketing bitch.”

Musk released these emails and others last week as part of a lawsuit he’s filed against OpenAI and Microsoft. They are ostensibly meant to demonstrate an anticompetitive partnership between the two companies. But primarily, they expose the details of early collaborations and power struggles between Altman and Musk, who invested between $50 million and $100 million in the earliest iteration of OpenAI. They trace OpenAI’s evolution from an open-source nonprofit to what the lawsuit calls a “closed-source de facto subsidiary” of Microsoft that abandoned its mission to develop AI for good. And they lay bare the complete and utter unraveling of Musk and Altman’s once-promising partnership.

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“Elon’s third attempt in less than a year to reframe his claims is even more baseless and overreaching than the previous ones,” OpenAI spokesperson Hannah Wong wrote in a statement to The Verge. “His prior emails continue to speak for themselves.”

“Would be worth way more than $50M not to seem like Microsoft’s marketing bitch,” Musk said

Musk and Altman launched OpenAI united by fears of human-level intelligence in the hands of tech giants like Google — only to see it become the kind of tech juggernaut they feared. After winning a CEO position that Musk coveted, Altman chose to keep OpenAI’s cutting-edge AI behind closed doors, claiming it was too dangerous to be openly released. The decision incensed Musk, who left OpenAI’s board to found his own competitor, xAI. Nearly a decade after the pair founded OpenAI, the two companies are amassing billions of dollars and Musk is taking the fight to court — in a race to own what both men see as the inevitable future of computing.

“Been thinking a lot about whether it’s possible to stop humanity from developing AI,” Altman wrote in 2015 in an email to Musk as a pitch to start OpenAI. “If it’s going to happen anyway, it seems like it would be good for someone other than Google to do it first.”

The talent problem

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From its inception, OpenAI was caught between two conflicting forces: an idealistic mission to benefit humanity and a cutthroat race against tech behemoths. Musk and Altman agreed that whatever their motivations, securing top talent (along with piles of cash) would be a paramount concern. This early compromise would set the stage for what Musk would later call the startup’s pursuit of profit over principle.

In 2015, the startup was known as YC AI — a lab tucked inside Y Combinator’s nonprofit research division, YCR. Altman, then president of the startup incubator, leveraged its extensive network and resources to attract researchers and money. Musk urged Altman and CTO (now president) Greg Brockman to seek over $100 million in funding, cautioning them that anything less would appear paltry compared to the deep pockets of tech giants like Google and Facebook.

“I think we should say that we are starting with a $1B funding commitment. This is real. I will cover whatever anyone else doesn’t provide,” Musk said in 2015 emails revealed by OpenAI earlier this year in response to Musk’s lawsuit.

Still, despite Musk’s support and a war chest of millions of dollars, the fledgling organization faced an early challenge that plagues most startups: the fierce competition for top talent. OpenAI might be the hottest place to work in Silicon Valley today, but a decade ago (and long before the launch of ChatGPT), many top AI researchers were unlikely to give it a second glance.

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In their aggressive bid for the best AI researchers, Altman and his team devised an unusual compensation package: a base salary of $175,000, a “part-time partner” title at YC, and 0.25 percent equity in each YC startup batch. (Now, it’s more common for AI researchers to be compensated closer to $1 million annually.) Altman billed it as a “Manhattan Project for AI,” per one email to Musk, and sensed he could get many of the top 50 researchers to join and “structure it so that the tech belongs to the world via some sort of nonprofit but the people working on it get startup-like compensation.”

The goal was to assemble an elite founding team of seven to 10 members — whatever it took to win the industry’s best minds. Still, Google’s AI lab, DeepMind, was on their heels. 

“DeepMind is going to give everyone in OpenAI massive counteroffers tomorrow to try to kill it,” Altman wrote to Musk in December 2015. “Do you have any objection to me proactively increasing everyone’s comp by 100-200k per year? I think they’re all motivated by the mission here but it would be a good signal to everyone we are going to take care of them over time.”

“Sounds like DeepMind is planning to go to war over this,” Altman added.

Google DeepMind founder Demis Hassabis.
Photo by Dan Kitwood / Getty Images
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Musk approved of the salary bumps, and by February 2016, OpenAI’s founding team was offered a $275,000 salary plus YC equity, while subsequent hires received a $175,000 salary with performance-based bonuses of $125,000 or equivalent stock in YC or SpaceX. Brockman added that there were three special cases: himself, along with cofounders Ilya Sutskever and Trevor Blackwell. It was later reported that Sutskever earned more than $1.9 million in 2016, and he told The New York Times that he “turned down offers for multiple times the dollar amount” he accepted from OpenAI. “I don’t know what will happen if/when Google starts throwing around the numbers they threw at Ilya,” Brockman wrote to Musk as he outlined a plan to poach researchers.

“We need to do what it takes to get the top talent. Let’s go higher. If, at some point, we need to revisit what existing people are getting paid, that’s fine,” Musk replied. “Either we get the best people in the world or we will get whipped by DeepMind. Whatever it takes to bring on ace talent is fine by me.” He warned that a victory by DeepMind, which was causing him “extreme mental stress,” would be really bad news with their “one mind to rule the world” philosophy. “They are obviously making major progress and well they should, given the talent level over there,” Musk added.

AGI dictatorship

It didn’t take long for things to get contentious between the cofounders.

In August 2017, OpenAI was ironing out the specifics of an initial funding round of between $200 million and $1 billion. Shivon Zilis, an ex-OpenAI board member and Neuralink operations director who would later bear three of Musk’s 12 children, wrote to Musk that Brockman and Sutskever were concerned. They were worried about how a newly founded for-profit branch of OpenAI would distribute equity and control as well as whether Musk — who wanted the job of CEO there — would commit sufficient time to it. “This is very annoying,” Musk responded, according to one of the newly released emails. “Please encourage them to go start a company. I’ve had enough.”

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The next month, Sutskever and Brockman escalated with a joint email to Musk and Altman. They expressed fears that Musk would seize “unilateral absolute control” over artificial general intelligence (AGI) if he took power as CEO. At the same time, they questioned Altman’s motivations, asking why “the CEO title is so important” to him. “Is AGI truly your primary motivation? How does it connect to your political goals? How has your thought process changed over time?” the pair asked. (The email doesn’t elaborate on what “politics” refers to, but Altman had become vocally active in California political campaigning earlier that year.) They said that they had let the promise of money cloud their judgment during earlier negotiations, blinding them to concerns they should have raised. 

“The goal of OpenAI is to make the future good and to avoid an AGI dictatorship. You are concerned that [DeepMind CEO Demis Hassabis] could create an AGI dictatorship. So do we,” the pair wrote. “So it is a bad idea to create a structure where you could become a dictator if you chose to, especially given that we can create some other structure that avoids this possibility.”

The email echoed a common refrain from OpenAI’s founders: that superintelligent AI was a serious threat to humanity, and any single entity controlling that power was even greater. But Musk was unimpressed. 

“It is a bad idea to create a structure where you could become a dictator if you chose to,” Sutskever told Musk

“I will no longer fund OpenAI until you have made a firm commitment to stay or I’m just being a fool who is essentially providing free funding for you to create a startup. Discussions are over,” Musk replied. Altman replied that he remains “enthusiastic about the non-profit structure,” which ultimately led Sutskever and Brockman to back down.

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Shortly after the confrontation, Zilis relayed a conversation she had with Altman to Musk. Zilis revealed that Altman “admitted that he lost a lot of trust with Greg and Ilya through this process” and “felt their messaging was inconsistent and felt childish at times.” Altman decided to take 10 days off to process the incident, Zilis added, because he “needs to figure out how much he can trust them and how much he wants to work with them.”

Just five months after Brockman and Sutskever’s email expressing fears of a power struggle, the situation reached another inflection point. In an altercation that was reported years later, Musk became convinced OpenAI had fallen irreparably behind Google and proposed taking control of the company himself — the very scenario Brockman and Sutskever had cautioned against. 

“My probability assessment of OpenAI being relevant to DeepMind/Google without a dramatic change in execution and resources is 0%. Not 1%. I wish it were otherwise,” Musk said in 2018, per emails revealed by OpenAI earlier this year. 

OpenAI’s leadership rejected his offer, and Musk departed the board in February 2018, cutting off funding but continuing to offer his support as an adviser.

Photo by Allison Robbert-Pool / Getty Images

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The loss of Musk, who had by that point reportedly invested $100 million, put OpenAI’s nonprofit model in peril. When Musk was still largely bankrolling the operation in 2017, Zilis explained to him that OpenAI leadership wanted to raise “$100M out of the gate” because “they are of the opinion that the datacenter they need alone would cost that.” So, in 2019, desperate to fund the training data center and reduce reliance on Musk, the team crafted a unique structure: a capped for-profit company controlled by the nonprofit. LinkedIn cofounder Reid Hoffman and venture capitalist Vinod Khosla participated in the first funding round, which secured pledges of nearly $1 billion but a far smaller initial funding of $130 million.

In March 2019, Musk sent Altman an article that implied his involvement in the new for-profit structure. “Please be explicit that I have no financial interest in the for-profit arm of OpenAI,” Musk said in the email, which he would later submit for inclusion in the suit. Altman responded simply: “On it.”

Etched in OpenAI’s history

OpenAI wields immense influence and power in the AI industry, and the battle for control was not lost on either Musk or Altman. In the end, Altman emerged victorious — then consolidated his power into near-total control over OpenAI.

The legal merits of Musk’s case are questionable. While he’s accused OpenAI and Microsoft of myriad offenses, much of his suit boils down to accusing Altman of hypocrisy, not typically something that’s punished in a court of law. The case is being heard in California, not in Texas, where Musk has been able to count on a sympathetic ear from a Tesla-stock-owning judge. Still, a lawsuit that accuses OpenAI and Microsoft of anticompetitive practices could garner sympathy while Musk has the ear of US president-elect Donald Trump.

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But whatever its outcome, the suit gives Musk a chance to reveal details that shape the narrative of OpenAI’s origins and his own role. The exhibits show Altman securing power in the company’s early days, perhaps despite the wishes of his cofounders. They underline Altman’s willingness to go toe-to-toe with his for-profit competitors from the beginning. And they provide the public with a clear picture of what powers OpenAI: Altman’s willingness to do whatever it takes to get what he wants.

How complete is this narrative? We don’t know. It’s likely a lot of important conversations happened offline or in emails that aren’t included. And Musk, obviously, isn’t any less power-hungry; if anything, this suit demonstrates his sheer petty desire to retaliate when slighted. But as both leaders are competing for a finite amount of venture capitalist cash, he may be betting that he can tear down Altman’s reputation — and cement himself as the rightful steward of AGI.

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Nintendo turned its biggest flop into an expensive, uncomfortable novelty

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Nintendo turned its biggest flop into an expensive, uncomfortable novelty

I’ve written about a lot of different video game hardware over the years, from new consoles to retro gadgets to whatever you want to call the Playdate. But I can’t remember ever being perpetually sore from testing a device; such are the joys of the Virtual Boy. Nintendo has turned its biggest flop into an accessory for the Switch, but the costs involved — to your wallet, eyes, and neck — make it a tough sell. Much like the original, this is a novelty for Nintendo sickos only.

First released in 1995, the original Virtual Boy looked like a VR headset but wasn’t actually VR or a headset. Instead, the console offered stereoscopic 3D games that you viewed through a pair of bulky goggles that were propped up on a stand. It also rendered games in eye-searing red and black, making for an experience that had some potential but was ultimately ugly and uncomfortable. It was a flop and was discontinued after just a year, amassing a library of less than two dozen games.

Now Nintendo has brought that same experience to the Switch. Virtual Boy games have been added to the Nintendo Classics collection of retro games available to Switch Online subscribers this week, but the twist is, because of the unique nature of the original hardware, you need to buy an accessory to actually play them. There’s a plastic re-creation of the Virtual Boy that’ll run you $100, which is what I’ve been using, as well as a cheaper cardboard headset that’s a much more reasonable $25. Either way, you’ll need both a subscription and an accessory to play these games.

Technically the games will run in portable mode without one of the accessories connected, but without the magnifying goggles, they’re displayed so small that they’re essentially unplayable. It looks something like this:

Can you tell what Virtual Boy game I’m playing here?
Image: Nintendo
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The plastic Virtual Boy looks like the original hardware, complete with a fake controller port and volume dial. But really it’s an elaborate Switch (or Switch 2) case that turns it into something resembling a Virtual Boy. It works like this: The top of the Virtual Boy opens up, letting you slot in a Switch, sans Joy-Con controllers, inside. When you close it up, the Switch becomes the console powering the Virtual Boy-like experience. Look through the goggles, and you’re awash in pixelated reds and blacks (though other colors will be available post-launch).

Since you don’t wear it strapped to your face, the Virtual Boy doesn’t have the same problems as a typical VR headset, where you’re supporting a bunch of weight on your head. But it’s still far from comfortable in my experience. The stand is adjustable so you can change the angle of the goggles, but I had a hard time finding an optimal viewing angle, despite trying to play it lots of different ways. And man, those red graphics; they were hard to look at in the ’90s, and things haven’t improved much. The Virtual Boy is a system where you need to take frequent breaks to save your eyes and neck. Don’t make the same mistakes I did.

All that said, the Virtual Boy’s lineup is surprisingly interesting to play in 2026. There are seven titles available at launch, and while there are a few duds — I just can’t seem to wrap my head around the first-person robot fighter Teleroboxer — I’ve really been enjoying playing 3D Tetris, Galactic Pinball, and the space shooter Red Alarm. The standout might be Wario Land, a fairly straightforward and occasionally clunky platformer but with 3D elements like enemies that jump out right in front of you, making things feel more tense. It’s not a huge lineup by any stretch, but it gives you a good sense of what the Virtual Boy is all about. Which is to say, there are some solid games with neat 3D gimmicks that are fun in short doses. (Why the tentpole Mario’s Tennis isn’t available at launch, especially given the recent release of Mario Tennis Fever, is a mystery to me.)

Nintendo tends to have a complicated relationship with its own history, often glossing over its failures and doing a poor job of celebrating what makes its games so important. So on one hand, the existence of this Virtual Boy seems like something of a miracle. Few people had a chance to play the original, and here it is available through Nintendo’s most successful platform ever. But it’s also a product that requires jumping through a lot of hoops for a small amount of payoff. And since it’s tied to NSO, you’re spending $100 to play games only for as long as you have a subscription or the service is active. After that, you have a costly paperweight.

The Switch version of the Virtual Boy is a device that’s weird, awkward, and of limited appeal — which, now that I think about it, perfectly re-creates the experience of the original.

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AI home search could change how you buy a house

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AI home search could change how you buy a house

NEWYou can now listen to Fox News articles!

If you have ever searched for a home online, you know the routine. Set a price range. Click a few filters. Run the search. Start over. Again and again.

Now imagine skipping all of that and simply saying, “I want a home near good schools with high ceilings, a short commute and a kitchen that feels modern.” Then the platform responds like it already understands what matters most to you. Well, that future tech is here.

Homes.com, powered by Microsoft Azure OpenAI, has launched Homes AI, a fully integrated conversational home search experience. Instead of clicking through a bunch of filters, you talk or type your way to the right home. And this is more than just a new feature. It could completely change how people search for and ultimately buy houses.

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DOORDASH LAUNCHES ZESTY, AN AI APP FOR FINDING LOCAL FOOD

Instead of guessing which filters to use, buyers can ask detailed questions about schools, commute times or neighborhood trends and get instant answers in one place. (David Cooper/Toronto Star via Getty Images)

Why AI home search fixes the old filter problem

For years, homebuyers had to search like they were programming a database. That meant checking boxes, toggling filters and running multiple searches just to piece together what they actually wanted.

“Searching for a home previously forced prospective buyers to think like a database — checking boxes, toggling filters and manually running multiple searches to piece together what they wanted,” Livia Sponseller, head of Homes.com Product at CoStar Group, told CyberGuy. “We understand that isn’t how people best operate, so conversational search removes the silos of data so that all information, whether it’s about neighborhood average home prices, schools or in-depth details about a specific home, allows buyers to easily and simply describe what they’re looking for in their own words.”

That line hits home. No one dreams about toggling filters. People dream about backyards, school districts and a kitchen where everyone gathers. With Homes AI, you can describe what matters to you in plain language. The system pulls from deep property data, 3D Matterport tours, neighborhood insights and proprietary school data to guide you.

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“Direct conversations with our AI guide, Homes AI, capture nuances in buyer preferences that traditional filters do not,” Sponseller added. “These nuances are ultimately what lead a buyer to choose the right home for them, making it feel less like browsing listings and more like truly experiencing the home.”

In other words, this moves home search from mechanical to meaningful.

Why AI home search works right now

AI assistants are already part of everyday life. Millions of people already talk to generative AI tools every week. That comfort level matters. As Sponseller explained, “People have become very accustomed to interacting with AI assistants like ChatGPT. Hundreds of millions of people are using its generative AI tools each week, so people are beginning to tap into the power of these generative pre-trained transformers (GPT) and large language models (LLMs). The experience we built for Homes.com represents the natural next step — seamlessly integrating advanced AI into the existing site infrastructure and shifting the heavy lifting of filtering and refining search results from the homebuyer to the technology itself.”

That shift is huge. The burden moves from you to technology. Instead of refining results manually, the AI refines them for you in real time. And it does so inside the Homes.com ecosystem. Your data stays within the platform and is not used to train external models.

CRIMINALS ARE USING ZILLOW TO PLAN BREAK-INS. HERE’S HOW TO REMOVE YOUR HOME IN 10 MINUTES

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Instead of guessing which filters to use, buyers can ask detailed questions about schools, commute times or neighborhood trends and get instant answers in one place. (Homes.com)

What surprises buyers about AI home search

The first time someone uses conversational artificial intelligence for home search, the biggest surprise may be how human it feels. Sponseller said, “I think users will be genuinely surprised by how closely it mirrors the experience of working with the most knowledgeable agent. Whether you’re looking for comparable sales, average home values in an area or the lifestyle of a specific neighborhood, buyers can ask virtually any home-related question and get an answer immediately, as opposed to referring to multiple sites for all that information.”

Instead of hopping between tabs, you stay in one seamless experience. You can ask about commute times, neighborhood trends or interior details without starting over. She also pointed out, “Homes AI is a transparent, fast, data-rich and ad-free tool, elevating the experience for consumers to another level.” That ad-free part matters. It keeps the focus on your goals, not on who paid for placement.

As the system learns your preferences, it refines recommendations over time, helping you narrow choices with more clarity and confidence. (Homes.com)

What AI home search means for the future of real estate

Sponseller believes this goes beyond one platform: “This is bigger than real estate. It’s only a matter of time until we see conversational experiences extend across industries, not just real estate portals. Why leave the heavy lifting to the searcher-consumer if ultimately this simplifies the process? Homes.com is simply the first to fully integrate this approach at scale, but I think it’s safe to say that shopping experiences across the board are entering a new era.”

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And when we look back? “We have full confidence that people will look back at the current state of portals and have a laugh at how clunky, manual, and fragmented the process felt.”

She added, “The housing market has evolved to a point where applying filters and needing to run multiple consecutive searches to capture all the filters will feel as outdated as flipping through the Yellow Pages.” That comparison says it all.

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What this means for you

If you are thinking about buying a home in the next few years, this could make the process feel a lot less stressful. Instead of endlessly scrolling and tweaking filters, you can simply explain what matters to you. The system does the sorting. It narrows the list based on your real priorities, not just basic checkboxes. That means you may tour fewer homes that miss the mark. You could spot red flags earlier. You might even feel more prepared before you ever walk through the front door. In a market where every decision counts, having clearer information upfront can make a real difference.

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Kurt’s key takeaways

Buying a home is a big deal. It is emotional. It is expensive. And it can feel overwhelming fast. For years, online search tools helped, but they also made you do most of the work. You had to adjust filters, rerun searches and keep track of what mattered. AI home search changes that dynamic. You explain what you want. The technology handles the sorting. Over time, it even remembers your priorities. That could mean fewer wasted showings. Fewer surprises. More confidence before you ever step inside a house.

If this is where home search is headed, will you trust a system that learns your preferences, or will you still want full control of every filter yourself? Let us know by writing to us at Cyberguy.com.

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Copyright 2026 CyberGuy.com. All rights reserved.

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The executive that helped build Meta’s ad machine is trying to expose it

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The executive that helped build Meta’s ad machine is trying to expose it

Brian Boland spent more than a decade figuring out how to build a system that would make Meta money. On Thursday, he told a California jury it incentivized drawing more and more users, including teens, onto Facebook and Instagram — despite the risks.

Boland’s testimony came a day after Meta CEO Mark Zuckerberg took the stand in a case over whether Meta and YouTube are liable for allegedly harming a young woman’s mental health. Zuckerberg framed Meta’s mission as balancing safety with free expression, not revenue. Boland’s role was to counter this by explaining how Meta makes money, and how that shaped its platforms’ design. Boland testified that Zuckerberg fostered a culture that prioritized growth and profit over users’ wellbeing from the top down. He said he’s been described as a whistleblower — a term Meta has broadly sought to limit for fear it would prejudice the jury, but which the judge has generally allowed. Over his 11 years at Meta, Boland said he went from having “deep blind faith” in the company to coming to the “firm belief that competition and power and growth were the things that Mark Zuckerberg cared about most.”

Boland last served as Meta’s VP of partnerships before leaving in 2020, working to bring content to the platform that it could monetize, and previously worked in a variety of advertising roles beginning in 2009. He testified that Facebook’s infamous early slogan of “move fast and break things” represented “a cultural ethos at the company.” He said the idea behind the motto was generally, “don’t really think about what could go wrong with a product, but just get it out there and learn and see.” At the height of its prominence internally, employees would sit down at their desks to see a piece of paper that said, “what will you break today?” Boland testified.

“The priorities were on winning growth and engagement”

Zuckerberg consistently made his priorities for the company abundantly clear, according to Boland. He’d announce them in all hands meetings and leave no shadow of a doubt what the company should be focused on, whether it was building its products to be mobile-first, or getting ahead of the competition. When Zuckerberg realized that then-Facebook had to get into shape to compete with a rumored Google social network competitor (which he didn’t name, but seemed to refer to Google+), Boland recalled a digital countdown clock in the office that symbolized how much time they had left to achieve their goals during what the company called a “lockdown.” During his time at the company, Boland testified, there was never a lockdown around user safety, and Zuckerberg allegedly instilled in engineers that “the priorities were on winning growth and engagement.”

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Meta has repeatedly denied that it tries to maximize users’ engagement on its platforms over safeguarding their wellbeing. In the past weeks, both Zuckerberg and Instagram CEO Adam Mosseri testified that building platforms that users enjoy and feel good on is in their long-term interest, and that’s what drives their decisions.

Boland disputes this. “My experience was that when there were opportunities to really try to understand what the products might be doing harmfully in the world, that those were not the priority,” he testified. “Those were more of a problem than an opportunity to fix.”

When safety issues came up through press reports or regulatory questions, Boland said, “the primary response was to figure out how to manage through the press cycle, to what the media was saying, as opposed to saying, ‘let’s take a step back and really deeply understand.” Though Boland said he told his advertising-focused team that they should be the ones to discover “broken parts,” rather than those outside the company, he said that philosophy didn’t extend to the rest of the company.

On the stand the day before, Zuckerberg pointed to documents around 2019 showing disagreement among his employees with his decisions, saying they demonstrated a culture that encourages a diversity of opinion. Boland, however, testified that while that might have been the case earlier in his tenure, it later became “a very closed down culture.”

“There’s not a moral algorithm, that’s not a thing … Doesn’t eat, doesn’t sleep, doesn’t care”

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Since the jury can only consider decisions and products that Meta itself made, rather than content it hosted from users, lead plaintiff attorney Mark Lanier also had Boland describe how Meta’s algorithm works, and the decisions that went into making and testing it. Algorithms have an “immense amount of power,” Boland said, and are “absolutely relentless” in pursuing their programmed goals — in many cases at Meta, that was allegedly engagement. “There’s not a moral algorithm, that’s not a thing,” Boland said. “Doesn’t eat, doesn’t sleep, doesn’t care.”

During his testimony on Wednesday, Zuckerberg commented that Boland “developed some strong political opinions” toward the end of his time at the company. (Neither Zuckerberg nor Boland offered specifics, but in a 2025 blog post, Boland indicated he was deleting his Facebook account in part over disagreements with how Meta handled events like January 6th, writing that he believed “Facebook had contributed to spreading ‘Stop the Steal’ propaganda and enabling this attempted coup.”) Lanier spent time establishing that Boland was respected by peers, showing a CNBC article about his departure that quoted a glowing statement from his then-boss, and a reference to an unnamed source who reportedly described Boland as someone with a strong moral character.

On cross examination, Meta attorney Phyllis Jones clarified that Boland didn’t work on the teams tasked with understanding youth safety at the company. Boland agreed that advertising business models are not inherently bad, and neither are algorithms. He also admitted that many of his concerns involved the content users were posting, which is not relevant to the current case.

During his direct examination, Lanier asked if Boland had ever expressed his concerns to Zuckerberg directly. Boland said he’d told the CEO he’d seen concerning data showing “harmful outcomes” of the company’s algorithms and suggested that they investigate further. He recalled Zuckerberg responding something to the effect of, “I hope there’s still things you’re proud of.” Soon after, he said, he quit.

Boland said he left upwards of $10 million worth of unvested Meta stock on the table when he departed, though he admitted he made more than that over the years. He said he still finds it “nerve-wracking” every time he speaks out about the company. “This is an incredibly powerful company,” he said.

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