About five hours into Elon Musk’s testimony, I typed the following sentence into my notes: “I have never been more sympathetic to Sam Altman in my life.”
Technology
Space travel tickets are back, but prices keep rising
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After nearly two years on pause, Virgin Galactic is selling tickets again. The catch is the price. A seat now costs $750,000. That number is not a typo. It is also a sharp increase from the company’s earlier pricing, which was $600,000. Now the company is reopening sales with 50 new spots available.
The company says flight testing is expected to begin in the third quarter of 2026, with commercial service starting in the fourth quarter of 2026.
If you are thinking about booking, you are not alone. More than 675 customers are currently waiting for their turn to experience space travel.
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AIR TAXIS IN THE U.S. COULD LAUNCH THIS SUMMER
Virgin Galactic’s spaceplane fires its rocket engine as it climbs toward the edge of space during a suborbital flight. (Virgin Galactic)
What a Virgin Galactic $750,000 ticket actually includes
Buying a ticket does not mean moving to space. These are short suborbital trips that last about 90 minutes. Here is how it works. Virgin Galactic uses a spaceship that launches from a carrier aircraft at high altitude. After release, the spaceplane fires its rocket engine and climbs to the edge of space. Passengers experience a few minutes of weightlessness before gliding back to Earth. It is closer to a thrill ride than a long mission. Still, for many, the appeal is simple. You get to see Earth from above the atmosphere.
Why space travel ticket prices keep rising
Going to space sounds incredible, but paying for it is a very different story. Building reusable spacecraft is expensive. Testing takes years. Safety requirements are intense. When something goes wrong, the entire program can slow down.
Virgin Galactic knows this firsthand. The company has faced delays, technical challenges and even tragedy. In 2014, a test flight operated by Scaled Composites, the company that designed and built the spaceplane, crashed and killed co-pilot Michael Alsbury. Since then, progress has been careful and at times slow. That helps explain the high ticket price. With only a limited number of flights and passengers, companies rely on premium pricing to stay afloat.
The company’s latest financials highlight that reality. Virgin Galactic reported a net loss of $279 million in 2025 and negative free cash flow of $438 million, underscoring how expensive it is to build and scale commercial spaceflight. CEO Michael Colglazier signaled that pricing could continue to climb as the company ramps up production and testing.
A new generation of spacecraft is driving the timeline
This latest ticket release is tied to a new development phase. Virgin Galactic says it expects its next-generation SpaceShip to enter ground testing in April 2026, with flight testing expected to begin in the third quarter of 2026. Commercial flights with this new vehicle are still on track for the fourth quarter of 2026.
A second SpaceShip is already in progress and is expected to enter service between late 2026 and early 2027, which is expected to increase flight frequency even more.
“We completed pivotal milestones during the first quarter of 2026, and with assembly of our first SpaceShip nearly complete and ground testing set to begin in April, we have released a limited number of Virgin Galactic Spaceflight Expeditions, each priced at $750,000,” said CEO Michael Colglazier.
That production ramp is key. The company is trying to move from monthly flights to a twice-weekly schedule per ship.
NEW PERSONAL EVTOL PROMISES PERSONAL FLIGHT UNDER $40K
Richard Branson floats in zero gravity during a flight, demonstrating the experience passengers can expect. (Virgin Galactic)
Who is competing in space tourism right now?
The timing of this relaunch is not random. Blue Origin has paused its tourist flights for at least two years. Meanwhile, SpaceX is focused on satellites, cargo missions and government contracts. That leaves Virgin Galactic as the only active option for private individuals who want a ticket to space right now. It is a small market, but for now, it is theirs.
Can space travel ever become affordable?
This is the big question hanging over the industry. Space tourism has been around for more than two decades, yet only a handful of people have actually gone. The dream has always been to make it more accessible. Right now, that dream still feels far away. Companies are trying to scale up. Virgin Galactic plans to increase flights from about four per month to as many as 10. If that happens, prices could eventually come down. But for now, the math is simple. Limited supply plus high costs equals very expensive tickets.
FLYING CAR NOW FOR SALE FOR $190,000
The view from the edge of space shows Earth’s curvature, one of the main draws of space tourism. (Virgin Galactic)
What this means for you
Even if you are not planning to spend $750,000 on a 90-minute trip, this still matters. First, it shows how close space travel is to becoming a real consumer experience. Not for everyone yet, but no longer something that feels out of reach. Second, the technology being developed for these flights often trickles down. Advances in materials, safety systems and aviation design can influence other industries over time. Finally, it is a reminder of how early we still are. Space tourism exists, but it is not mainstream. It is still in the phase where wealthy early adopters help fund the future.
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Kurt’s key takeaways
Virgin Galactic reopening ticket sales is a signal. The industry is not fading away. It is evolving and trying to enter a new phase. At the same time, the higher price tag tells a different story. Space is still hard. It is still risky. It is still expensive. For now, the view from above remains one of the most exclusive experiences money can buy.
Would you ever pay for a trip to space if prices dropped enough, or does the risk still outweigh the thrill? Let us know by writing to us at Cyberguy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Autonomous vehicles roving California’s roads will no longer be immune to traffic tickets starting on July 1st. New regulations announced by the California DMV this week allow law enforcement to give AV manufacturers a “notice of AV noncompliance” when one of their cars commits a traffic violation, like running a red light or failing to stop for school buses.
The updated regulations come after years of viral traffic violations and multiple safety investigations involving robotaxis. Tesla’s Full Self-Driving (FSD) system is also under investigation for running red lights and driving in the wrong direction. Now, driverless vehicle companies can get cited for those violations, at least in California.
California’s new regulations could also help prevent driverless cars from getting in the way during emergencies, like an incident in San Francisco last year when Waymos blocked traffic during a power outage. AV companies will now have to answer first-responder calls within 30 seconds and must allow emergency responders to “issue electronic geofencing directives,” which will block AVs from entering active emergency areas. Any driverless cars already in the area will have to leave.
The new regulations also allow AV companies to test and deploy heavy-duty autonomous trucks and include “licensing qualifications and permitting and training requirements for remote drivers and assistants.”
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Inside Meta, the parent company of Facebook, Instagram and WhatsApp, employees’ everyday clicks, shortcuts and screen habits are now part of how the company trains its artificial intelligence systems.
Meta has started rolling out internal software that tracks how employees use their computers, including how they move through apps and complete routine tasks. The company says this data will help build smarter AI tools, but it also raises new questions about how far workplace monitoring should go.
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HOW TO OPT OUT OF AI DATA COLLECTION IN POPULAR APPS
Inside Meta, employee computer habits are becoming training data as the company pushes deeper into AI-powered workplace automation. (Unknown)
What Meta’s employee tracking tool actually does
The system is called the Model Capability Initiative, or MCI. It runs on work apps and websites used by employees.
Here is what it tracks:
- Mouse movements and clicks
- Keystrokes and keyboard shortcuts
- Navigation behavior like dropdown selections
- Occasional screenshots of what is on screen
Meta says the idea is simple. If AI is supposed to act like a human using a computer, it needs real examples of how people actually work.
“If we’re building agents to help people complete everyday tasks using computers, our models need real examples of how people actually use them – things like mouse movements, clicking buttons, and navigating dropdown menus,” a Meta spokesperson told CyberGuy. “To help, we’re launching an internal tool that will capture these kinds of inputs on certain applications to help us train our models. There are safeguards in place to protect sensitive content, and the data is not used for any other purpose.”
The company insists that data collected through this tool is used only for model training, not for employee performance reviews, and managers do not have access to it. Company devices were already subject to monitoring, and this isn’t unique to Meta.
Why Meta is collecting employee data for AI
Meta isn’t collecting this information just for insight. It is feeding it into a broader push to build artificial intelligence agents that can handle work tasks. In an internal memo, Meta’s CTO Andrew Bosworth described a future where AI agents do most of the work while humans guide and review.
The company is already reorganizing around that idea. Internal programs like “AI for Work,” now called the Agent Transformation Accelerator, are designed to bring AI into daily workflows across teams.
Meta believes this approach will make operations faster and more efficient. The trade-off is that human work becomes training data for the systems that may replace parts of it.
META EMPLOYEE ACCUSED OF ACCESSING PRIVATE IMAGES
Meta is rolling out a workplace tracking tool that records employee clicks, keystrokes and screen activity to help train its AI systems. (Joan Cros/NurPhoto via Getty Images)
Privacy concerns around Meta’s employee tracking
Workplace monitoring has been around for years, but this takes it a step further. For example, tracking keystrokes and clicks in real time creates a level of oversight that companies have more often used with gig workers than office employees. As a result, employers can now watch day-to-day activity more closely.
At the same time, a legal gray area exists. In the United States, companies generally have broad authority to monitor employees as long as they provide notice. Because of that, employers have significant room to expand how they collect data.
However, outside the U.S., the rules can be stricter, and some regions place tighter limits on how companies collect and use employee data.
Even so, knowing someone is tracking your activity at this level can change how you work, how you communicate and how much autonomy you feel on the job.
How this fits into the broader AI job shift
Meta is hardly alone in pushing toward automation. Companies across Silicon Valley are investing heavily in AI systems that can write code, organize data and assist with decision-making. At the same time, many are cutting jobs or reshaping roles.
Meta plans to reduce its workforce by about 10 percent globally. Amazon has also trimmed tens of thousands of corporate roles in recent months.
The message is clear. AI has evolved beyond a tool that helps employees. It is increasingly positioned as a replacement for certain types of work.
JOBS THAT ARE MOST AT RISK FROM AI, ACCORDING TO MICROSOFT
Meta says its new internal monitoring tool will improve AI agents, but the program is also raising fresh concerns about employee privacy. (Donato Fasano/Getty Images)
What this means to you
Even if you do not work at Meta, this shift has wider implications. First, workplace monitoring is expanding beyond factories and delivery jobs into office environments. That could become standard across industries.
Second, your everyday work habits may become valuable data. Companies are realizing that human behavior is one of the most useful training resources for AI.
The line between assisting and replacing workers is getting thinner. Tools that start as helpers often evolve into something more autonomous over time.
If your job involves repetitive computer tasks, it is worth paying attention to how AI is being trained to handle them.
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Kurt’s key takeaways
Meta’s move marks a turning point. AI no longer relies only on public data or curated datasets. It now learns directly from how people work in real time. That shift raises practical questions about productivity and efficiency. It also brings deeper concerns about privacy, control and the future role of human workers. Companies argue they need this data to build better tools. At the same time, employees now help train systems that could eventually replace parts of their roles.
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If your daily work became training data for AI that could eventually do your job, would you be comfortable with that? Let us know by writing to us at CyberGuy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Musk’s direct testimony was an improvement over yesterday — even if his lawyer kept asking leading questions to cue him in how to answer. But that memory was immediately obliterated by an absolutely miserable cross-examination. For hours, Musk refused to answer yes or no questions with yes or no, occasionally “forgot” things he’d testified to in the morning, and scolded defense lawyer William Savitt. I watched a few jury members glance at each other. During one testy exchange, one woman was rubbing her head. Me too, babe.
Even the judge, who at times prompted Musk to answer “yes” or “no,” was having a bad time. “He was at times difficult,” said Yvonne Gonzalez Rogers after Musk after the jury left the room. (At one point, when she’d cut off his argumentative answer, she got the biggest laugh of the day.) “Part of management from my perspective is just to get through testimony.”
“I don’t yell at people,” Musk said
Musk spent a lot of yesterday painting this heroic picture of himself, and this morning, near the end of his direct examination, said, “I don’t lose my temper,” and “I don’t yell at people.” He said he might have called someone a “jackass,” but only in the spirit of saying something like, “don’t be a jackass.”
Immediately afterward, Savitt baited him into being petty, irritating, and generally hard to deal with. At one point, we all watched Musk lose his temper. He spent hours quibbling over simple questions. Again and again, Savitt referred back to Musk’s deposition, where he’d answered questions slightly differently, calling Musk’s accounts into question. Even if the average juror didn’t think he was lying, he was certainly inconsistent.
Savitt’s cross-examination left the distinct impression that Musk quit his quarterly payments to OpenAI because he wasn’t going to get full control of the company, then tried to kneecap it and fold it into Tesla. Initially, Musk wanted four board seats and 51 percent of the shares. The other co-founders would get three seats, together, to be voted on by shareholders (including other employees). Though Musk said that the eventual plan was to expand to 12 seats, it was obvious that Musk had full control on the initial board of seven.
When Musk didn’t get what he wanted, he pulled the plug on his funding commitment and hired Andrej Karpathy, OpenAI’s second-best engineer, to Tesla in 2017. Despite his fiduciary duty to OpenAI as a board member, he did not try to get Karpathy to stay at OpenAI when he said he heard Karpathy wanted to leave. (“I think people should have a right to work where they want to work,” Musk said on the stand.)
“In my and Andrej’s opinion, Tesla is the only path that could even hope to hold a candle to Google.”
By 2018, Musk was saying that OpenAI had no path forward with its current structure, declaring it was on “a path of certain failure” in emails to Ilya Sutskever and Greg Brockman. His proposed solution was to merge Tesla and OpenAI. “In my and Andrej’s opinion, Tesla is the only path that could even hope to hold a candle to Google,” Musk said. The plan never came to fruition, and Musk resigned from OpenAI’s board that year.
As early as 2016, Musk had his own concerns about OpenAI as a non-profit. In an email to a colleague at Neuralink, he wrote “Deepmind is moving very fast. I am concerned that OpenAI is not on a path to catch up. Setting it up as non-profit might, in hindsight, have been the wrong move. Sense of urgency is not as high.”
Asked about this, Musk said he was just speculating. Savitt said, “Those are your words, yes or no?”
“You mostly do unfair questions.”
Musk replied, “This is a hypothetical.”
Savitt said, “So you thought it might have been a wrong move? That’s what you said?”
Getting Musk to put any of that on the record was intensely difficult. He refused repeatedly to answer questions like whether he knew cutting off OpenAI donations would create financial pressure, or whether he’d asked Karpathy to stay at OpenAI. He accused Savitt of asking questions that were “designed to trick me,” and we got multiple versions of this:
Musk: You mostly do unfair questions
Savitt: I am trying to put the questions as fairly as I can. I am doing my best.
Musk: That’s not true.
Musk was trying to make this as painful as possible for Savitt, but he also made it as painful as possible for everyone else, including the jury. Watching him simply refuse to answer questions during cross he’d easily answered during direct was annoying. Watching him refuse to admit he understood the nature of linear time — and therefore the fact that he was still a director of OpenAI’s board before he resigned in 2018 — was infuriating. It made him look dishonest.
“I’d lost trust in Altman and I was concerned they were really trying to steal the charity.”
Musk’s basic, oft-repeated story during this week’s testimony has been that OpenAI is “stealing a charity” and “looting a non-profit.” He maintains that he was all right with some limited for-profit activity, but not anything that would overshadow OpenAI’s nonprofit work and constitute “the tail wagging the dog” — another phrase he reached for, over and over, like a security blanket. In direct testimony, he painted himself as a trusting “fool” who had believed the wily promises of Sam Altman and his cohort: “I gave them $38 million of essentially free funding, which they used to create an $800 billion for-profit company,” he lamented. His own lawyer’s questioning wrapped up with Musk being purportedly blindsided by a multibillion-dollar deal with Microsoft.
“I’d lost trust in Altman and I was concerned they were really trying to steal the charity,” Musk said. “It turned out to be true.”
“I said I didn’t look closely! I read the headline!”
On cross examination, Musk would barely even explain how much he bothered to learn about OpenAI’s operations before suing over them a few years later. When OpenAI proposed a for-profit arm around 2018, he got an email outlining the proposed corporate structure. On the stand, he said he’d only read the very first section of it,, which said that contributors should consider the investments as donations that may have no return. “I read the highlighted box with ‘important warning,’” Musk said.
Savitt asked Musk if he’d raised any objection to the structure then, when he’d received the documents. Musk said that he didn’t read beyond that first box.
Musk: I didn’t read the fine print.. We’re going into the fine print of this document.
Savitt: It’s a four-page document.
Musk then said he hadn’t read beyond taking this in the “spirit of a donation.” And then we got the deposition, where Musk said, “I don’t think I read this term sheet… I’m not sure I actually read this term sheet… I did not closely look at this term sheet.” Savitt pointed out that nowhere in the deposition did Musk say he’d read the first paragraph and Musk, raising his voice and effectively undermining his claims from the morning that he doesn’t lose his temper (lol) or yell at people (lmao), said, “I said I didn’t look closely! I read the headline!”
Imagine having to deal with this man as your cofounder. I think I would sooner open a vein.
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