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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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Tesla is sending its humanoid Optimus robot to the Boston Marathon

Tesla’s Optimus robot is heading to the Boston Marathon finish line

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Tesla’s Optimus humanoid robot will be stationed at the Tesla showroom at 888 Boylston Street in Boston, right along the final stretch of the Boston Marathon today, ready to cheer on runners and pose for photos with spectators.

According to a Tesla email shared by content creator Sawyer Merritt on X, Optimus will be at the Boston Boylston Street showroom on April 20, coinciding with Marathon Monday weekend. The Boston Marathon finishes on Boylston Street, and the surrounding area draws hundreds of thousands of spectators along with international broadcast coverage. Placing Optimus there puts it in front of a massive public audience at zero advertising cost.

The Tesla showroom is at 888 Boylston Street, between Gloucester Street and Fairfield Street. The final mile of the marathon runs directly along Boylston Street, with runners passing the big stores before reaching the finish line at Copley Square.

Optimus was first announced at Tesla’s AI Day event on August 19, 2021, when Elon Musk presented a vision for a general-purpose robot designed to take on dangerous, repetitive, and unwanted tasks. In March 2026, Optimus appeared at the Appliance and Electronics World Expo in Shanghai, where on-site staff stated that mass production of the robot could begin by the end of 2026. Before that, it showed up at the Tesla Hollywood Diner opening in July 2025 and at a Miami showroom event in December 2025.

Tesla’s well-calculated display of Optimus gives the public a low-pressure first encounter with a robot that Tesla is preparing  to soon deploy at scale. The company has previously indicated plans to manufacture Optimus robots at its Fremont facility at up to 1 million units annually, with an Optimus production line at Gigafactory Texas targeting 10 million units per year.

Tesla showcases Optimus humanoid robot at AWE 2026 in Shanghai

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Musk has said that Optimus “has the potential to be more significant than the vehicle business over time,” and separately that roughly 80 percent of Tesla’s future value will come from the robot program. Whether that holds depends on production execution. For now, Boston gets a preview of what that future looks like, standing at the finish line on Boylston Street while 32,000 runners pass by.

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Tesla expands Unsupervised Robotaxi service to two new cities

This expansion builds directly on Tesla’s existing operations. Robotaxi has been ramping unsupervised rides in Austin for months and maintains activity in the San Francisco Bay Area.

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Credit: Tesla

Tesla has taken a major step forward in its autonomous ride-hailing ambitions.

On April 18, the company’s official Robotaxi account announced that Robotaxi service is now rolling out in Dallas and Houston, Texas. The update signals the rapid scaling of unsupervised autonomous operations in the Lone Star State.

The announcement includes a compelling 14-second video captured from inside a Model Y. Shot from the passenger perspective, the footage shows the vehicle navigating suburban roads in both cities with zero driver intervention, with no Safety Monitor to be seen.

Tesla also shared geofence maps highlighting the initial service areas: a compact zone in Houston covering parts of Willowbrook and Jersey Village, and a similarly defined area in Dallas near Highland Park and central neighborhoods.

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This expansion builds directly on Tesla’s existing operations. Robotaxi has been ramping unsupervised rides in Austin for months and maintains activity in the San Francisco Bay Area.

With Dallas and Houston now live, Texas hosts three active hubs—an impressive concentration that triples the company’s Lone Star footprint in just weeks. The move aligns with Tesla’s Q4 2025 earnings guidance, which outlined a broader H1 2026 rollout across seven U.S. cities, including Phoenix, Miami, Orlando, Tampa, and Las Vegas.

Texas offers favorable regulations, high ride-share demand, and relatively straightforward suburban-to-urban driving patterns ideal for early autonomous scaling. While initial geofences appear modest—roughly 25 square miles per city—Tesla has historically expanded these zones quickly as it gathers real-world data.

Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline

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Unsupervised operation marks a critical milestone: passengers can summon, ride, and exit without safety drivers, a leap beyond many competitors still requiring human oversight.

For Tesla, the implications are significant. Successful scaling in major metros could accelerate the transition to a fully driverless fleet, unlocking new revenue streams and validating years of Full Self-Driving investment.

Riders gain convenient, potentially lower-cost mobility, while the company edges closer to Elon Musk’s vision of Robotaxis transforming urban transport.

As Tesla pushes into more cities this year, today’s launch in Dallas and Houston underscores its momentum. Hopefully, Tesla will be able to expand unsupervised rides to another U.S. state soon, which will mark yet another chapter in this short-but-encouraging Robotaxi story.

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Tesla is pushing Robotaxi features to owner cars with Spring Update

Tesla has quietly begun rolling out one of its most forward-looking Robotaxi-inspired features to existing customer vehicles.

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Tesla is starting to push Robotaxi features to owner cars, and the first instances are coming as the Spring 2026 Update starts to roll out.

Tesla has quietly begun rolling out one of its most forward-looking Robotaxi-inspired features to existing customer vehicles.

With the 2026 Spring Update (version 2026.14+), the rear passenger display now features a fully interactive navigation map that works while the car is driving — a capability previously reserved for Tesla Robotaxi.

Until now, Tesla’s rear displays have been largely limited to media controls, climate settings, and static route overviews. The new interactive map transforms the backseat into an active navigation hub, exactly the kind of passenger-first interface Tesla has been prototyping for its driverless fleet.

In a Robotaxi, where no one sits behind the wheel, every rider will need intuitive, real-time map access. By shipping this UI into thousands of owner cars months ahead of the Cybercab’s planned unveiling, Tesla is stress-testing the software in real-world conditions and giving loyal customers an early taste of the autonomous future.

The rollout is still in its early wave. Only a small number of vehicles have received 2026.14.1 so far, but the feature is expected to expand rapidly in the coming weeks. Owners of Model S, Model X, Model 3, Model Y, and Cybertruck are all eligible.

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For buyers of the new Signature Edition Model S and X Plaid vehicles — whose deliveries begin in May — the update will likely arrive shortly after they take delivery, meaning the final chapter of Tesla’s flagship lineup will ship with cutting-edge Robotaxi preview tech baked in.

Elon Musk has long emphasized that Tesla ships supporting infrastructure well before new products launch. This rear-map rollout is a textbook example of that philosophy — quietly preparing both the software and the customer base for a world of fully driverless rides.

While the interactive map may seem like a modest convenience upgrade on the surface, its deeper purpose is unmistakable. Tesla is using its massive installed base of vehicles as a proving ground for the exact passenger experience that will define the Robotaxi era.

For current owners, it’s a free preview of tomorrow’s mobility; for the company, it’s invaluable data and real-world validation before the Cybercab hits the streets.

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