The Twitter profile page belonging to Elon Musk is seen on an Apple iPhone mobile phone.
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New Twitter owner Elon Musk has pulled more than 50 of his trusted Tesla employees, mostly software engineers from the Autopilot team, into his Twitter takeover, CNBC has learned.
Musk, who is CEO of automaker Tesla and reusable rocket maker SpaceX, completed the $44 billion acquisition of Twitter on Oct. 28 and made his mark there immediately. He fired the company’s CEO, chief financial officer, policy and legal team leaders right away, and has also dissolved Twitter’s board of directors.
According to internal records viewed by CNBC, employees from Musk’s other companies are now authorized to work at Twitter, including more than 50 from Tesla, two from the Boring Company (which is building underground tunnels) and one from Neuralink (which is developing a brain-computer interface).
Some of Musk’s friends, advisors and backers, including the head of his family office Jared Birchall, angel investor Jason Calacanis, and founding PayPal chief operating officer and venture capitalist David Sacks, are also involved. So are two people who share Musk’s last name, James and Andrew Musk, who have worked at Palantir and Neuralink, respectively.
Among the dozens who Elon Musk enlisted specifically from Tesla are: director of software development Ashok Elluswamy, director of Autopilot and TeslaBot engineering Milan Kovac, senior director of software engineering Maha Virduhagiri; Pete Scheutzow, a senior staff technical program manager, and Jake Nocon, who is part of Tesla’s surveillance unit, as a senior manager of security intelligence.
Nocon previously worked for Uber and Nisos, a security company that had a multimillion-dollar contract with Tesla to identify insider threats, and monitor critics of the company.
At Twitter, Musk is counting on his lieutenants and loyalists to decide who and what to cut or keep at the social network.
He is also pressing them to learn everything they can about Twitter as quickly as possible, from source code to content moderation and data-privacy requirements, so he can redesign the platform, several Twitter employees told CNBC over the weekend.
Musk has billed himself as a free speech absolutist, but he has to balance those wishes with laws and business realities. He said in an open letter to advertisers last week as he was taking over the company: “Twitter obviously cannot become a free-for-all hellscape, where anything can be said with no consequences.”
It is not immediately clear how Tesla employees are expected to split their schedules between the automaker and Twitter.
Typically, when Tesla employees work for other Elon Musk ventures, usually SpaceX or the Boring Company, they can get paid by the other venture as a consultant. Some of Musk’s employees have full-time roles at more than one of his businesses. For example, Tesla Vice President of Materials Charlie Kuehmann, is concurrently a vice president at SpaceX.
At other times, two Tesla employees told CNBC, workers at the electric automaker are pressured to help with projects at his other companies for no additional pay because it’s seen as good for their careers, or because the work is regarded as helping with a related party transaction or project.
Tesla is facing serious scrutiny around the technology built and maintained by its Autopilot team, namely its driver-assistance systems, which are marketed as Autopilot, FSD and FSD Beta.
The Securities and Exchange Commission, the Department of Justice, and the California Department of Motor Vehicles are all investigating whether Tesla or Musk violated laws and misled consumers about Tesla’s driver assistance systems, which are still in development and do not make the company’s cars self-driving.
Meanwhile, the federal vehicle safety authority, NHTSA, continues to investigate whether Tesla driver assistance systems may have contained defects that contributed to or caused collisions. The way that Tesla marketed these systems on social media, including Twitter, is part of the scope of at least one NHTSA investigation.
Code reviews and 12-hour shifts
Several Twitter employees told CNBC over the weekend that Tesla employees now at Twitter have been involved in code review at the social network, even though their skills from working on Autopilot and other Tesla software and hardware do not directly overlap with the languages and systems used to build and maintain the social network. These employees asked not to be named because they’re not authorized to talk to the press about internal matters, and feared retaliation.
For example, most engineers in automotive companies, even the tech-forward Tesla, do not have experience designing and operating search engines and platforms that are broadly accessible to the public.
Twitter has multiple code bases with millions of lines of code in each, and myriad 10- or even 100-query per second (QPS) systems underpinning it. At Tesla, Python is one of the preferred scripting languages, and at Twitter programmers have used Scala extensively.
Twitter also has more exposure to international regulations around hate speech and data privacy, for example, particularly the European Union’s General Data Protection Regulation.
Twitter employees who were there before Musk took over said they have been asked to show his teams all manner of technical documentation, to justify their work and their teams’ work, and to explain their value within the company. The threat of dismissal looms if they do not impress, they said.
The employees said they are worried about being fired without cause or warning, rather than laid off with severance. Some are worried that they will not be able to reap the rewards of stock options that are scheduled to vest in the first week of November, according to documentation viewed by CNBC.
Meanwhile, the Twitter employees said they have not received specific plans from Musk and his team yet, and are largely in the dark about possible head count cuts within their groups, budgets and long-term strategies.
Musk has set nearly impossible deadlines for some to do-list items, however.
One immediate project is to redesign the company’s subscription software, dubbed Twitter Blue, and the company’s verification system (known sometimes as “blue checks” for the way they are denoted on the service). Employees say Musk wants that work done by the first week of November. The Verge previously reported that Musk wants to charge $20 per user per month, and to only give verification marks to the accounts of users who are paid subscribers, and would remove verification from accounts who do not pay for Twitter Blue.
Managers at Twitter have instructed some employees to work 12-hour shifts, seven days a week, in order to hit Musk’s aggressive deadlines, according to internal communications. The sprint orders have come without any discussion about overtime pay or comp time, or about job security. Task completion by the early November deadline is seen as a make-or-break matter for their careers at Twitter.
In an atmosphere of fear and distrust, many Twitter employees have stopped communicating with each other on internal systems about workplace issues. What’s more, some of Twitter’s Slack channels have gone nearly silent, multiple employees told CNBC.
Meanwhile, Musk and his inner circle have been plumbing archived messages in the systems, ostensibly looking for people to fire and budgets or projects to slash.
On Sunday night, in a display of his unfettered access to internal information at the company, CEO Elon Musk (who calls himself “Chief Twit” but is officially CEO and sole director) posted a screenshot to his 112 million listed followers on Twitter.
The screenshot depicted comments made by Twitter’s head of safety and integrity, Yoel Roth, in May 2022. At the time, Musk was trying to get out of his agreement to buy Twitter for $54.20 per share.
In court, and in public, Musk had vociferously accused Twitter of faking metrics, specifically of playing down the amount of spam, fake accounts and harmful bots that exist on the platform.
In the internal message that Musk made public, Roth wrote disparagingly of a person involved with the business named Amir, and also remarked, that if Amir continued to “BS” him or others about objectives and key results, Twitter would be “literally doing what Elon is accusing us of doing.”
Musk alleged in a tweet that, “Wachtell & Twitter board deliberately hid this evidence from the court.” He also appeared to threaten further legal action, writing: “Stay tuned, more to come…”
Representatives for Twitter, Tesla and the law firm Wachtell, Lipton, Rosen & Katz have yet to respond to requests for comment.
A person walks past the entrance to a Google building in Dublin, Feb. 15, 2023.
Artur Widak | Anadolu | Getty Images
After landing internship offers from Amazon, Meta and TikTok, computer science student Chungin “Roy” Lee has decided to move to San Francisco.
But he won’t be joining any of those companies.
Instead, Lee will be building his own startup that offers a peculiar service: helping software engineers use artificial intelligence to cheat in their technical job interviews.
“Everyone programs nowadays with the help of AI,” said Lee, a 21-year-old student at Columbia University, which has opened disciplinary proceedings against him, according to documents viewed by CNBC. A Columbia spokesperson said the university doesn’t comment on individual students.
“It doesn’t make sense to have an interview format that assumes you don’t have the use of AI,” Lee said.
Lee is at the forefront of a movement among professional coders who are exploiting the limitations of remote job interviews, popularized during the Covid pandemic, by using AI tools off camera to ensure they give hiring managers the best possible answers.
The hiring process that took hold in the work-from-home era involved candidates interviewing from behind a Zoom screen rather than traveling, sometimes across the country, for on-location interviews, where they could show their coding skills on dry-erase boards.
In late 2022 came the boom in generative AI, with the release of OpenAI’s ChatGPT. Since then, tech companies have laid off tens of thousands of programmers while touting the use of AI to write code. At Google, for example, more than 25% of new code is written by AI, CEO Sundar Pichai told investors in October.
The combination of rapid advancements in AI, mass layoffs of software developers, and a continuing world of remote and hybrid work has created a novel conundrum for recruiters.
The problem has become so prevalent that Pichai suggested during a Google town hall in February that his hiring managers consider returning to in-person job interviews.
Google isn’t the only tech company weighing that idea.
But engineers aren’t slowing down.
Lee has turned his cheating into a business. His company, Interview Coder, markets itself as a service that helps software developers cheat during job interviews. The internship offers that he landed are the proof he uses to show that his technology works.
AI assistants for virtual interviews can provide written code, make code improvements, and generate detailed explanations of results that candidates can read. The AI tools all work quickly, which is helpful for timed interviews.
Hiring managers are venting their frustrations on social media over the rise of AI cheaters, saying that those who get caught are eliminated from contention. Interviewers say they’re exhausted from having to discern whether candidates are using their own skills or relying on AI.
‘Invisible’ help
The cheating tools rely on generative AI models to provide software engineers with real-time answers to coding problems as they’re presented during interviews. The AI analyzes both written and oral questions and instantaneously generates code. The widgets can also provide the cheaters with explanations for the solutions that they can use in the interview.
The tools’ most valuable feature, however, might be their secrecy. Interview Coder is invisible to the interviewer.
While candidates are using technology to cheat, employers are observing their behavior during interviews to try to catch them. Interviewers have learned to look for eyes wandering to the side, the reflection of other apps visible on candidates’ glasses, and answers that sound rehearsed or don’t match questions, among other clues.
Perhaps the biggest tell is a simple “Hmm.”
Hiring managers said they’ve noticed that many candidates use the ubiquitous sound to buy themselves time while waiting for their AI tools to finish their work.
“I’ll hear a pause, then ‘Hmm,’ and all of a sudden, it’s the perfect answer,” said Anna Spearman, founder of Techie Staffing, an agency that helps companies fill technical roles. “There have also been instances where the code looked OK, but they couldn’t describe how they came to the conclusion.”
Henry Kirk, a software developer and co-founder of Studio.init in New York, said this type of cheating used to be easy to catch.
“But now it’s harder to detect,” said Kirk. He said the technology has gotten smart enough to present the answers in a place that doesn’t require users to move their eyes.
“The eye movement used to be the biggest giveaway,” Kirk said.
Interview Coder’s website says its virtual interview tool is immune to screen detection features that are available to companies on services such as Zoom and Google Meet. Lee markets his product as being webcam-proof.
When Kirk hosted a virtual coding challenge for an engineering job he was looking to fill in June, 700 people applied, he said. Kirk recorded the process of the first interview round. He was looking to see if any candidates were cheating in ways that included using results from large language models.
“More than 50% of them cheated,” he said.
AI cheating tools have improved so much over the last year that they’ve become nearly undetectable, experts said. Other than Lee’s Interview Coder, software engineers can also use programs such as Leetcode Wizard or ChatGPT.
Kirk said his startup is considering moving to in-person interviews, though he knows that potentially limits the talent pool.
“The problem is now I don’t trust the results as much,” Kirk said. “I don’t know what else to do other than on-site.”
Google CEO Sundar Pichai during an event at the Google for Startups Campus in Warsaw, Poland, Feb. 13, 2025.
Omar Marques | Anadolu | Getty Images
Back to the Googleplex
It’s become a big topic at Google, and one Pichai addressed in February at an internal town hall meeting, where executives read questions and comments that were submitted by employees and summarized by AI, according to an audio recording that was reviewed by CNBC.
One question asked of management was, “Can we get onsite job interviews back?”
“There are many email threads about this topic,” the question said. “If budget is constraint, can we get the candidates to an office or environment we can control?”
Pichai turned to Brian Ong, Google’s vice president of recruiting, who was joining through a virtual livestream.
“Brian, do we do hybrid?” Pichai asked.
Ong said candidates and Google employees have said they prefer virtual job interviews because scheduling a video call is easier than finding a time to meet in available conference rooms. The virtual interview process is about two weeks faster, he added.
He said interviewers are instructed to probe candidates on their answers as a way to decipher whether they actually know what they’re talking about.
“We definitely have more work to do to integrate how AI is now more prevalent in the interview process,” said Ong. He said his recruiting organization is working with Google’s software engineer steering committee to figure out how the company can refine its interviewing process.
“Given we all work hybrid, I think it’s worth thinking about some fraction of the interviews being in person,” Pichai responded. “I think it’ll help both the candidates understand Google’s culture and I think it’s good for both sides.”
Ong said it’s also an issue “all of our other competitor companies are looking at.”
A Google spokesperson declined to comment beyond what was said at the meeting.
Other companies have already shifted their hiring practices to account for AI cheating.
Deloitte reinstated in-person interviews for its U.K. graduate program, according to a September report.
Anthropic, the maker of AI chatbot Claude, issued new guidance in its job applications in February, asking candidates not to use AI assistants during the hiring process.
“While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process,” the new policy says. “We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate ‘Yes’ if you have read and agree.”
Amazon is also taking steps to combat AI cheating.
The company asks that candidates acknowledge that they won’t use unauthorized tools during the interview or assessment process, spokesperson Margaret Callahan told CNBC.
Chungin “Roy” Lee, a 21-year-old student at Columbia University, is the founder of Interview Coder, a startup that makes software to help computer programmers cheat in job interviews with the help of AI.
Courtesy of Chungin Lee
‘F*ck Leetcode’
If you visit InterviewCoder.co, the first thing that greets you is large gray type that reads “F*ck Leetcode.”
Leetcode is the program used by many tech companies to evaluate software engineers for technical roles. Tech companies such as Meta, Google and Amazon use it to keep tabs on the thousands of job applicants they evaluate.
“Every time I mention interviews, I get frustrated comments about Leetcode,” wrote Ryan Peterman, a software engineer at Meta, in a newsletter posted on Substack in December. Peterman said Leetcode problems are purposely designed to be much harder than what software engineers would do on the job. Leetcode is the best tool companies have to filter hundreds of applicants, Peterman wrote.
Coders said they hate Leetcode because it emphasizes algorithmic problem-solving and asks applicants to solve riddles and puzzles that seem irrelevant to the job, according to those CNBC spoke with as well as comments CNBC found from engineers across various social media platforms. Another downside is that it sometimes requires hours of work that may not result in a job offer or advancement, they said.
Leetcode served as Lee’s inspiration for building Interview Coder, he said. With the help of AI, he said, he created the service in less than a week.
“I thought I wanted to work at a big tech company and spent 600 hours practicing for Leetcode,” Lee said. “It made me miserable, and I almost stopped programming because of how much I didn’t like it.”
Lee’s social media posts are filled with comments from other programmers expressing similar frustrations.
“Legend,” several comments said in response to some of his X posts. Others said they enjoyed him “f—ing with big tech.”
Rival software Leetcode Wizard was also inspired by distaste for Leetcode.
Isabel De Vries, Leetcode Wizard’s head of marketing, told CNBC in a statement that Leetcode-style interviews fail to accurately measure engineering skills and fail to reflect actual daily engineering work.
“Our product originates from the same frustrations many of our users are having,” De Vries said.
Leetcode did not respond to CNBC’s request for comment.
Henry Kirk, a software developer and co-founder of Studio.init in New York, is considering moving job interviews to be on site in response to software engineers using AI to cheat in virtual interviews.
Photo by Krista Schlueter for Inc. Magazine
When Kirk, of Studio.init, posted on LinkedIn in February to vent about his frustrations with AI cheating, he received nearly 200 comments. But most argued that employers should allow candidates to use AI in the hiring process.
“Even the SAT lets you use a calculator,” said one comment. “I think you just make it harder to succeed on purpose when in the real world Google and gpt will always be at my fingertips.”
Lee promotes Interview Coder as being “invisible to all screen-recording softwares.” To prove its effectiveness, he recorded himself passing an Amazon interview and posted the video on YouTube. Amazon and the other companies that had made offers to Lee then rescinded them.
Lee got hundreds of comments praising the video, which YouTube removed after CNBC reached out to Amazon and Google for this story. YouTube cited a “copyright claim” by Amazon as the reason for removing the video.
“I as an interviewer am so annoyed by him but as a candidate also adore him,” former Meta staff engineer Yangshun Tay, co-founder of startup GreatFrontEnd, wrote in a LinkedIn post about Lee and his video. “Cheating isn’t right, but oh god I am so tired of these stupid algorithm interviews.”
After YouTube removed the video, Lee uploaded it once again.
Cheating as a service
Lee said he never planned to work at Amazon, Meta or TikTok. He said he wanted to show others just how easy it is to game Leetcode and force companies to find a better alternative.
And, he said, he’s making money in the process.
Interview Coder is available as a subscription for $60 a month. Lee said the company is on track to hit $1 million in annual recurring revenue by mid-May.
He recently hired the internet influencers who go by the name “Costco Guys” to make a video marketing his software.
“If you’re struggling to pass your Leetcode interviews and want to get a job at a big tech company, you’ve got to take a look at Interviewcoder.co to pass your interview,” the Costco Guys say in their video. “Because Interview Coder gets five big booms! Boom! Boom! Boom! Boom! Boooooom!”
Leetcode Wizard bills itself on its website as “The #1 AI-powered coding interview cheating app” and “The perfect tool for achieving a ‘Strong Hire’ result in any coding interview and landing your dream job at any FAANG company.” Leetcode Wizard charges 49 euros ($53) a month for a “Pro” subscription.
More than 16,000 people have used the app, and “several hundred” people have told Leetcode Wizard that they received offers thanks to the software, the company told CNBC.
“Our product will have succeeded once we can shut it down, when leetcode interviews are a thing of the past,” De Vries said.
Lee said he’s moving from New York to San Francisco in March to continue building Interview Coder and start working on his next company.
Kirk said he understands software engineers’ frustration with Leetcode and the tech industry. He’s had to use Leetcode numerous times throughout his career, and he was laid off by Google in 2023. He now wants to help out-of-work engineers get jobs.
But he remains worried that AI cheating will persist.
“We need to make sure they know their stuff because these tools still make mistakes,” Kirk said.
Half of companies currently use AI in the hiring process, and 68% will by the end of 2025, according to an October survey commissioned by ResumeBuilder.com.
Lee said that if companies want to bill themselves as AI-first, they should encourage its use by candidates.
Asked if he worries about software engineers losing the trust of the tech industry, Lee paused.
“Hmm,” he mumbled.
“My reaction to that is any company that is slow to respond to market changes will get hurt and that’s the fault of the company,” Lee said. “If there are better tools, then it’s their fault for not resorting to the better alternative to exist. I don’t feel guilty at all for not catering to a company’s inability to adapt.”
Meta‘s Facebook’s influence remains strong globally, but younger users are logging in less. Only 32% of U.S. teens use Facebook today, down from 71% in 2014, according to a 2024 Pew Research study. However, Facebook’s resale platform Marketplace is one reason young people are on the platform.
“I only use Facebook for Marketplace,” said Mirka Arevalo, a student at Buffalo University. “I go in knowing what I want, not just casually browsing.”
Launched in 2016, Facebook Marketplace has grown into one of Meta’s biggest success stories. With 1.1 billion users across 70 countries, it competes with eBay and Craigslist, according to BusinessDasher.
“Marketplace is the flea market of the internet,” said Charles Lindsay, an associate professor of marketing at the University of Buffalo. “There’s a massive amount of consumer-to-consumer business.”
Unlike eBay or Etsy, Marketplace doesn’t charge listing fees, and local pickups help avoid shipping costs, according to Facebook’s Help Center.
“Sellers love that Marketplace has no fees,” said Jasmine Enberg, VP and Principal Analyst at eMarketer. “Introducing fees could push users elsewhere.”
Marketplace also taps into the booming resale market, projected to hit $350 billion by 2027, according to ThredUp.
“Younger buyers are drawn to affordability and sustainability,” said Yoo-Kyoung Seock, a professor at the College of Family and Consumer Sciences at the University of Georgia. “Marketplace offers both.”
A key advantage is trust; users’ Facebook profiles make transactions feel safer than on anonymous platforms like Craigslist, according to Seock.
In January 2025, eBay partnered with Facebook Marketplace, allowing select eBay listings to appear on Marketplace in the U.S., Germany, and France. Analysts project this will drive an additional $1.6 billion in sales for eBay by the end of 2025, according to Wells Fargo.
“This partnership boosts the number of buyers and sellers,” said Enberg. “It could also solve some of Marketplace’s trust issues.”
While Facebook doesn’t charge listing fees, it does take a 10% cut of sales made through its shipping service, according to Facebook’s Help Center.
Marketplace isn’t a major direct revenue source, but it keeps users engaged.
“It’s one of the least monetized parts of Facebook,” said Enberg. “But it brings in engagement, which advertisers value.”
“Marketplace helps Meta prove younger users still log in,” said Enberg. “Even if they’re buying and selling instead of scrolling.”
By keeping users engaged, Marketplace plays a key role in Facebook’s long-term strategy, ensuring the platform remains relevant in a changing digital landscape.
Digital physical therapy startup Hinge Health is gearing up to file for an initial public offering, potentially as soon as next week, CNBC has learned.
Hinge Health helps patients with musculoskeletal injuries ranging from minor sprains to chronic pain recover from the comfort of their own homes. Its IPO has been a highly-anticipated exit within the battered digital health sector, which has been reeling from the aftermath of the Covid-19 pandemic.
The IPO could happen as early as April, but timelines might still change due to uncertainty around tariffs, according to a person familiar with the matter. Hinge Health, which contracts with employers, generated $390 million in revenue in 2024, had $45 million in free cash flow and hit gross margins of about 78%, the person said.
The San Francisco startup has raised more than $1 billion from investors like Tiger Global and Coatue Management. Hinge Health had a $6.2 billion valuation as of October 2021. Physical therapy is estimated to be a roughly $70 billion market by the end of the decade.
A spokesperson for Hinge Health declined to comment.
Hinge Health CEO Daniel Perez and Executive Chairman Gabriel Mecklenburg co-founded the company in 2014 after they were frustrated by their own experiences with physical rehabilitation, according to the company’s website.
Members of Hinge Health can access virtual exercise therapy and an electrical nerve stimulation device called Enso that’s designed to serve as an alternative to pain medications like opiates. The company has been using generative artificial intelligence to scale its care team in recent years.
The company competes directly with other digital health startups like Sword Health, but Hinge Health is about four times larger than is closet competitor, the person said.
Investors will be watching closely to see whether Hinge Health’s IPO serves as a positive bellwether for the sector.
Bloomberg reported Hinge Health’s IPO plans earlier on Friday.