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Comma.ai’s George Hotz talks Tesla Autopilot, AI Vision and the future of self-driving cars

George Hotz, founder of Comma.ai, pilots a vehicle with the company's aftermarket self-driving device. [Photo credit: REUTERS/Paul Lienert]

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One of the most outspoken players in the race to autonomous cars has some strong thoughts on where the future of self-driving technology is headed. George Hotz, the CEO and founder of Comma.ai, believes heavily in a future where AI-driven computer vision powers our self-driving cars. I sat down with Hotz on the NextMobility podcast to discuss everything from Tesla’s Autopilot to Comma.ai’s suite of products that take aim at converting the regular car into a self-driving vehicle.  Listen below, or download it on Apple Podcasts or on other platforms.

So how do we get there? According to Hotz, computer vision technology is already good enough to be comparable to LiDAR. The real problem is getting AI to understand the environment and make intelligent decisions. Predictive complexity and being able to reason what course of action is needed is the challenging part of self-driving vehicles, George explains.

“That’s the easy part (Computer vision), the hard part is- okay I’m trying to merge up here, how is my model going to behave.” – George Hotz

Hotz famously showed a working prototype of his self-driving technology in a Bloomberg Businessweek interview with Ashley Vance in December 2015. Since then the company’s strategy has changed along with its technology. Hotz open-sourced their self-driving software last November and called it Openpilot after the NHTSA threatened to shut down his project.

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Hotz has avoided dealing with regulators by creating a Comma.ai hardware ‘ecosystem’ this year that can run the open source software. Rather than simply making hardware that allows the vehicle to drive autonomously, the hardware creates an interface to allow computers to interact with the vehicle in several ways.

Comma.ai’s new product line consists of the EON dashcam that also doubles as a navigation and music interface, the Panda OBD-II connector, and a Giraffe connector to seamless tie into a vehicle’s system. Using all three products, one can run music, navigation and even their Openpilot driving agent on the vehicle.

Comma.ai’s new EON dashcam does a heck of a lot more than record video. (Photo: Comma.ai)

In 2015, Hotz considered ‘contracting’ with Tesla to help develop their Autopilot software, but then decided to pursue the technology on his own. I asked Hotz why he thought Tesla has had trouble retaining leaders in the division and he shared his theory.

“Elon has an idea in his head that it (self-driving vehicles powered by computer vision and AI) should be easy, and he’s right- it absolutely should be easy. So every time someone doesn’t make it seem easy- he fires them. Which is actually a probably good strategy. So what’s the problem… it’s just actually implementing all the stuff, I mean implementation is hard. It’s not the theory, the theory is all there,” said Hotz on the NextMobility Podcast.

Hotz also believes that other automakers are still very behind Tesla in terms of vehicle architecture. While other companies are launching long-range electric vehicles or planning their development, they still have yet to compete with Tesla’s technological advancements.

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“They (other automotive companies) are going to be like, holy crap- we are five years behind… the car manufacturers still have no idea how far they are behind. The Model S has sophisticated compute, OTA, Linux boxes, a large touchscreen, and a modern user interface. What does the Chevy bolt have?”

Who do you think will win the self-driving game?

Christian Prenzler is currently the VP of Business Development at Teslarati, leading strategic partnerships, content development, email newsletters, and subscription programs. Additionally, Christian thoroughly enjoys investigating pivotal moments in the emerging mobility sector and sharing these stories with Teslarati's readers. He has been closely following and writing on Tesla and disruptive technology for over seven years. You can contact Christian here: christian@teslarati.com

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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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Elon Musk

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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