Elon Musk’s SpaceXAI has been bleeding staff since its merger | TechCrunch
Elon Musk’s newly rebranded SpaceXAI is reportedly losing top talent, with more than 50 researchers and engineers departing since February, according to The Information. The exits include key leaders across coding, world models, and Grok voice.
Rivals like Meta and Thinking Machine Labs are reportedly scooping up former staff, with the company’s core pre-training team dwindling to just a handful of people. Since February, at least 11 xAI employees have defected to Meta, according to The Information’s report. At least seven have left to join Mira Murati’s Thinking Machine Labs. TechCrunch has previously reported on 11 of the xAI departures announced directly after the merger, including two co-founders.
SpaceX acquired xAI — two companies owned by Musk — in February and has since installed new leadership at the company. Musk renamed the combined company SpaceXAI earlier this month.
The pre-training departures, which followed the exit of team lead Juntang Zhuang, have particularly concerned employees and people close to SpaceXAI, per The Information. Pre-training is the first step to building new AI models, and many have questioned whether the company is still committed to developing leading models.
The report also found that Musk’s culture of extreme work led some staff to leave — something Musk employees across his companies, including Tesla, have complained about. A source who spoke to The Information said Musk set unrealistic deadlines for training models, which led to cutting corners on Grok.
Of course, several of the exits could have been driven by a desire to cash out.
SpaceX regularly offers tenders so employees can sell vested shares privately. Others might simply feel confident that their equity is close to liquidity given the company’s blockbuster IPO expectations. Once employees see the financial upside light at the end of the tunnel, they’re less likely to work at a company that puts undue pressure on them and may not be building the leading models they want to work on.
TechCrunch has reached out to SpaceX for comment.
Elon Musk’s newly rebranded SpaceXAI is reportedly losing top talent, with more than 50 researchers and engineers departing since February, according to The Information. The exits include key leaders across coding, world models, and Grok voice.
Rivals like Meta and Thinking Machine Labs are reportedly scooping up former staff, with the company’s core pre-training team dwindling to just a handful of people. Since February, at least 11 xAI employees have defected to Meta, according to The Information’s report. At least seven have left to join Mira Murati’s Thinking Machine Labs. TechCrunch has previously reported on 11 of the xAI departures announced directly after the merger, including two co-founders.
SpaceX acquired xAI — two companies owned by Musk — in February and has since installed new leadership at the company. Musk renamed the combined company SpaceXAI earlier this month.
The pre-training departures, which followed the exit of team lead Juntang Zhuang, have particularly concerned employees and people close to SpaceXAI, per The Information. Pre-training is the first step to building new AI models, and many have questioned whether the company is still committed to developing leading models.
The report also found that Musk’s culture of extreme work led some staff to leave — something Musk employees across his companies, including Tesla, have complained about. A source who spoke to The Information said Musk set unrealistic deadlines for training models, which led to cutting corners on Grok.
Of course, several of the exits could have been driven by a desire to cash out.
SpaceX regularly offers tenders so employees can sell vested shares privately. Others might simply feel confident that their equity is close to liquidity given the company’s blockbuster IPO expectations. Once employees see the financial upside light at the end of the tunnel, they’re less likely to work at a company that puts undue pressure on them and may not be building the leading models they want to work on.
TechCrunch has reached out to SpaceX for comment.
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#Elon #Musks #SpaceXAI #bleeding #staff #merger #TechCrunchElon Musk,SpaceX,spacexai,xAI

![Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says
How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says. It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid.
The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible. NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says.
While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia.
And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.” I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop). ©OpenEvidence When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part:
“This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.” So that’s somewhat comforting. On the other hand, according to NBC: “[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.” NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads: “One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise. ‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly” At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch? #Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine Your Doctor Is Most Likely Consulting This Free AI Chatbot, Report Says
How would you like it if, when stumped or just in need of some help with an unfamiliar situation, your doctor consulted a free, ad-supported AI chatbot? That’s not actually a hypothetical. They probably are doing that, a new report from NBC News says. It’s called OpenEvidence, and NBC says it was “used by about 65% of U.S. doctors across almost 27 million clinical encounters in April alone.” An earlier Bloomberg report on OpenEvidence from seven months ago said it had signed up 50% of American doctors at the time—so reported growth is rapid.
The OpenEvidence homepage trumpets the bot as “America’s Official Medical Knowledge Platform,” and says healthcare professionals qualify for unlimited free use, but non-doctors can try it for free without creating accounts. It gives long, detailed answers with extensive citations that superficially look—to me, a non-doctor—trustworthy and credible. NBC interviewed doctors for its story, and apparently pressed them on how often they actually click those links to the sources of information, and “most said they only do so when they get an unexpected result,” NBC’s report says.
While it’s free, OpenEvidence is not a charity. It’s a Miami-headquartered tech unicorn with a billionaire founder named David Nadler, and as of January it boasted a billion valuation. NBC says it’s backed by some of the all stars of Sand Hill Road: Sequoia Capital and Andreessen Horowitz, along with Google Ventures, Thrive Capital, and Nvidia.
And its revenue comes from ads (for now), which NBC says are often for “pharmaceutical and medical device companies.” I’m not capable of stress testing such a piece of software, but I kicked the tires slightly by asking Claude to generate doctor’s notes that are very bad and irresponsible (I said it was just a movie prop). ©OpenEvidence When I told OpenEvidence those were my notes and asked it to make sure they were good, thankfully, it confirmed that they were bad, saying in part:
“This clinical documentation raises serious patient safety concerns. The presentation described contains multiple red flags for subarachnoid hemorrhage (SAH) that appear to have been insufficiently weighted, and the current management plan could result in significant harm.” So that’s somewhat comforting. On the other hand, according to NBC: “[…]some healthcare providers were quick to point out that OpenEvidence occasionally flubbed or exaggerated its answers, particularly on rare conditions or in ‘edge’ cases.” NBC’s report also clocked some worries within the medical community and elsewhere, in particular, a “lack of rigorous scientific studies on the tool’s patient impact,” and signs that OpenEvidence might be stunting the intellectual development of recent med school grads: “One midcareer doctor in Missouri, who requested anonymity given the limited number of providers in their medical field in the country, said he was already seeing the detrimental effects of OpenEvidence on students’ ability to sort signals from noise. ‘My worry is that when we introduce a new tool, any kind of tool that is doing part of your skills that you had trained up for a while beforehand, you start losing those skills pretty quickly” At a recent doctor’s appointment, my doctor asked my permission to use an AI tool on their phone (I don’t know if it was OpenEvidence). I didn’t know what to say other than yes. Do I want that for my doctor’s appointment? Not especially. But if my doctor has come to rely on a tool like this, then what am I supposed to do? Take away their crutch? #Doctor #Consulting #Free #Chatbot #ReportArtificial intelligence,doctors,Medicine](https://gizmodo.com/app/uploads/2026/05/Screenshot-2026-05-13-at-8.02.01 PM.jpg)
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