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Tesla crash leads NTSB to begin probe of autonomous driving technology

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The echoes of the Autopilot crash that killed Joshua Brown on May 7 are still reverberating. Not only is the National Highway Transportation Safety Administration conducting an investigation, now the National Transportation Safety Board (NTSB) is getting into the act. NHTSA chief Mark Rosekind and Transportation Secretary Anthony Fox have expressed approval of autonomous driving technology. With more than 80% of the 34,000 highway deaths in the US every year attributed to human error, they recognize the power of new safety system to reduce the carnage on America’s roadways.

The NTSB on the other hand has warned that such systems can lead to danger because they lull drivers into complacency behind the wheel. Missy Cummings, an engineering professor and human factors expert at Duke University, says humans tend to show “automation bias,” a trust that automated systems can handle all situations when they work 80% of the time.

According to Automotive News, NTSB will send a team of five investigators to Florida to probe the of Joshua Brown after his Tesla Model S while driving on Autopilot crashed into a tractor trailer. “It’s worth taking a look and seeing what we can learn from that event, so that as that automation is more widely introduced we can do it in the safest way possible,” says Christopher O’Neil, who heads the NTSB.

“It’s very significant,” says Clarence Ditlow, executive director of the Center for Auto Safety, an advocacy group in Washington, DC. “The NTSB only investigates crashes with broader implications.” He says the action by the NTSB is significant. “They’re not looking at just this crash. They’re looking at the broader aspects. Are these driverless vehicles safe? Are there enough regulations in place to ensure their safety” Ditlow adds, “And one thing in this crash I’m certain they’re going to look at is using the American public as test drivers for beta systems in vehicles. That is simply unheard of in auto safety,” he said.

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That is the crux of the situation. Tesla obviously has the right to conduct a beta test of its Autopilot system if only other Tesla drivers were involved. The question is whether it has the same right to do so on public roads with other drivers who are not part of the beta test and who are unaware than an experiment is taking place around them as they drive?

For its part, Tesla steadfastly maintains that “Autopilot is by far the most advanced driver-assistance system on the road, but it does not turn a Tesla into an autonomous vehicle and does not allow the driver to abdicate responsibility. Since the release of Autopilot, we’ve continuously educated customers on the use of the feature, reminding them that they’re responsible for remaining alert and present when using Autopilot and must be prepared to take control at all times.”

That’s all well and good, but are such pronouncements from the company enough to overcome that “automation bias” Professor Cummings refers to?  Clearly, Ditlow thinks not. What the NTSB decides to do, if anything, after it completes its investigation could have a dramatic impact on self driving technology both in the US and around the world. Regulators in other countries will place a lot of weight on what the Board decides.

From Tesla’s perspective, they will want to know if the death of one person is reason enough to delay implementation of technology that could save 100,000 or more lives each year worldwide. The company is racing ahead with improvements to its Autopilot system. Just the other week a Tesla Model S was spotted testing near the company’s Silicon Valley-based headquarters with a LIDAR mounted to its roof.

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NTSB has a lot of clout when it comes to promulgating safety regulations. It will be hard pressed to fairly balance all of the competing interests involved in the aftermath of the Joshua Brown fatality.

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SpaceX reveals what Anthropic will pay for massive compute deal

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Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)
Rendering of Elon Musk overlooking a Starship fleet (Credit: Grok)

SpaceX has disclosed the full financial details of its groundbreaking agreement with Anthropic, confirming that the AI company will pay $1.25 billion per month for dedicated high-performance computing resources.

The revelation came through SpaceX’s latest securities filing in preparation for its initial public offering, shedding light on one of the largest compute deals in the artificial intelligence sector to date. The prospectus was released last night, as SpaceX is heading toward its IPO.

This arrangement underscores the fierce demand for specialized infrastructure as frontier AI models require unprecedented levels of processing power to train and operate effectively. Industry analysts see the disclosure as a significant milestone, highlighting how top AI labs are locking in massive capacity to stay ahead in a rapidly accelerating field.

For SpaceX, it feels like a massive move that pushes its perception as a company from space exploration to artificial intelligence.

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SpaceX is following in Tesla’s footsteps in a way nobody expected

The comprehensive deal grants Anthropic exclusive access to SpaceX’s Colossus clusters, encompassing Colossus I and the substantially expanded Colossus II, which together deliver hundreds of megawatts of power along with more than 200,000 NVIDIA GPUs.

Payments extend through May 2029, totaling nearly $45 billion overall; capacity is scheduled to ramp up during May and June 2026 at an initial discounted rate to facilitate seamless integration. Both companies retain the option to terminate the agreement with ninety days’ notice, so there is definitely some flexibility for both.

This pact not only enhances Anthropic’s ability to scale usage limits for Claude users but also injects substantial recurring revenue into SpaceX, bolstering its expansion into advanced data center operations and future orbital computing initiatives.

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Observers describe the collaboration between the two companies as strategically advantageous because it gives Anthropic cutting-edge AI development the opportunity to collaborate with SpaceX’s expertise in rapid, large-scale infrastructure deployment.

This disclosure arrives at a pivotal moment when computing resources have become the primary bottleneck for AI progress.

As leading organizations compete to build more powerful systems, securing reliable, high-density facilities has emerged as a key differentiator.

SpaceX’s sites, such as those in Memphis, offer superior power availability and advanced cooling solutions that set them apart from conventional providers. For Anthropic, the added capacity is expected to deliver tangible improvements, including extended context windows, quicker inference times, and innovative features that appeal to both enterprise clients and individual users.

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Looking ahead, the partnership paves the way for ambitious joint projects, including potential space-based AI compute platforms designed to overcome terrestrial limitations on energy and thermal management. Such efforts could redefine sustainable computing at massive scales.

Financially, the deal solidifies SpaceX’s diverse revenue profile ahead of its public market debut, extending beyond traditional aerospace activities. The massive check SpaceX will cash each month opens up the idea that additional

While some experts question the sustainability of these enormous expenditures given ongoing efficiency gains in AI architectures, the commitment reflects a strong belief in sustained demand growth.

The agreement also exemplifies productive synergies across sectors, with aerospace engineering insights optimizing AI hardware performance. As global attention on technology concentration increases, arrangements of this nature may help shape equitable access to critical resources.

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SpaceX just filed for the IPO everyone was waiting for

SpaceX filed its public S-1, revealing $18.7 billion in revenue and billions in losses.

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SpaceX publicly filed its S-1 registration statement with the Securities and Exchange Commission on May 20, 2026, making its financial details available to the public for the first time ahead of what could be the largest IPO in history.

An S-1 is the formal document a company must submit to the SEC before going public. It includes audited financials, risk factors, business descriptions, and how the company plans to use the money it raises. Companies are required to file one before selling shares to the public, and it must be published at least 15 days before the investor roadshow begins. SpaceX had already submitted a confidential draft to the SEC in April, which allowed regulators to review the filing privately before it went public.

The S-1 reveals that SpaceX generated $18.7 billion in consolidated revenue in 2025, driven largely by its Starlink satellite internet division, which posted $11.4 billion in revenue, growing nearly 50% year over year. Despite that growth, the company lost about $4.9 billion in 2025 and has burned through more than $37 billion since its founding.

SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

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A significant portion of those losses trace back to xAI, Elon Musk’s artificial intelligence company, which was recently merged into SpaceX. SpaceX directed roughly 60% of its capital spending in 2025 to its AI division, totaling around $20 billion, yet that division lost billions and grew revenue by only about 22%.

SpaceX plans to list its Class A common stock on Nasdaq under the ticker SPCX, with Goldman Sachs, Morgan Stanley, and Bank of America leading the offering. The dual-class share structure means going public will not meaningfully reduce Musk’s control, as Class B shares he holds carry 10 votes per share compared to one vote for public Class A shares.

The company is targeting a raise of around $75 billion at a valuation of roughly $1.75 trillion, which would make it the largest IPO ever. The investor roadshow is reportedly planned for June 5.

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Tesla scales back driver monitoring with latest Full Self-Driving release

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tesla cabin facing camera
Tesla's Cabin-facing camera is used to monitor driver attentiveness. (Credit: Andy Slye/YouTube)

Tesla has scaled back driver monitoring to be less naggy with the latest version of the Full Self-Driving (Supervised) suite, which is version 14.3.3.

The latest version is already earning praise from owners, who are reporting that the suite is far less invasive when it comes to keeping drivers from taking their eyes off the road. The first to mention it was notable Tesla community member on X known as Zack, or BLKMDL3.

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Musk confirmed that v14.3.3 was made to nag drivers significantly less, something that Tesla has worked toward in the past and has said with previous versions that it is less likely to push drivers to look ahead, at least after looking away for a few seconds.

This refinement aligns with Tesla’s ongoing push toward unsupervised FSD. The update also brings faster Actual Smart Summon (now up to 8 mph), reliable “Hey Grok” voice commands, richer visualizations, smoother Mad Max acceleration, and an intervention streak counter that rewards consistent use. Reviewers describe the drive as more human-like and confident, with fewer twitches or unnecessary maneuvers.

Musk has repeatedly signaled this direction. In late 2025, he stated that FSD would allow phone use “depending on context of surrounding traffic,” noting safety data would justify relaxing rules so drivers could text in low-risk scenarios like stop-and-go traffic.

We tested this, and even still, the cell phone monitoring really seems to be less active in terms of alerting drivers:

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Tesla Full Self-Driving v14.2.1 texting and driving: we tested it

Earlier, ahead of v14, Musk promised the system would “nag the driver much less” once safety metrics improved.

In 2023, he confirmed the steering wheel torque nag would be “gradually reduced, proportionate to improved safety,” shifting reliance to the cabin camera. Subsequent updates like v13.2.9 and v12.4 further loosened monitoring, cracking down on workarounds while easing legitimate distractions.

These steps reflect Tesla’s data-driven approach: FSD’s safety record—reportedly averaging millions of miles per crash—now outpaces human drivers in many scenarios, giving the company confidence to dial back interventions. Reduced nags improve usability and trust, encouraging more drivers to rely on the system rather than disengaging out of frustration.

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However, there are certainly still some concerns. In many states, it is illegal to handle a cell phone in any way, requiring the use of hands-free devices. In Pennsylvania, it is illegal to use your cell phone at stop lights, which is definitely a step further than using it while the car is actively in motion.

v14.3.3 represents tangible progress. Making FSD less adversarial and more seamless is definitely a step forward, but drivers need to be aware of the dangers of distracted driving. FSD is extremely capable, but it is in no way fully autonomous, nor does its performance warrant owners to take their attention off the road.

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