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Tesla picks up Apple veteran to lead Autopilot Software team

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Tesla issued a blog post today announcing the arrival of Chris Lattner, who will be joining the company as the new Vice President of Autopilot Software. Lattner was an Apple veteran, having worked at the Silicon Valley tech giant for 11 years and largely credited with the creation of Apple’s Swift programming language used for building apps.

Prior to Lattner being hired, SpaceX Vice President of Software, Jinnah Hosein, was serving as the interim head of Autopilot for Tesla. With the arrival of Lattner, Hosein will no longer be serving in a dual role capacity and shift focus back to SpaceX. “We would like to thank Jinnah for the efforts needed to achieve excellence in both roles, David Nister, our Vice President of Autopilot Vision, and the team for their exceptional work in advancing Autopilot.” says Tesla through the company’s blog post.

The addition of Lattner represents a major victory for the electric car company, and comes at a time when Tesla is advancing on its Enhanced Autopilot feature which aims to bring Model S and Model X vehicles equipped with Autopilot 2.0 hardware to feature parity with first generation Autopilot cars. Tesla’s latest software update is a first iteration towards its Autosteer driving-assist feature, but the company’s ultimate goal is to achieve full autonomy through Autopilot 2.0’s Full Self-Driving capabilities. CEO Elon Musk plans to demonstrate a vehicle driving on its own from Los Angeles to New York by the end of this year.

We’ve provided a copy of the welcome letter issued by Tesla through the company blog.

Welcome Chris Lattner

We would like to welcome Chris Lattner, who will join Tesla as our Vice President of Autopilot Software. Chris’ reputation for engineering excellence is well known. He comes to Tesla after 11 years at Apple where he was primarily responsible for creating Swift, the programming language for building apps on Apple platforms and one of the fastest growing languages for doing so on Linux. Prior to Apple, Chris was lead author of the LLVM Compiler Infrastructure, an open source umbrella project that is widely used in commercial products and academic research today.

As Chris joins Tesla, we would like to give a special thanks to Jinnah Hosein, SpaceX’s Vice President of Software, who has been serving a dual role as the interim Vice President of Tesla Autopilot Software and will now be heading back to SpaceX full-time. We would like to thank Jinnah for the efforts needed to achieve excellence in both roles, David Nister, our Vice President of Autopilot Vision, and the team for their exceptional work in advancing Autopilot.

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We are very excited that Chris is joining Tesla to lead our Autopilot engineering team and accelerate the future of autonomous driving.

Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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Tesla expands driverless Robotaxi geofence in Austin

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Credit: @JoeTegtmeyer/X

Tesla has expanded the operational geofence for its driverless Robotaxi service in Austin, Texas, marking the first such increase in some time. The updated Service Area for Robotaxi in Austin now spans about 288 square miles and is roughly 9 percent larger than the previous boundary.

This incremental growth adds approximately 24 square miles of coverage, bringing the prior zone of roughly 264 square miles into a broader footprint that better serves northern suburbs.

The expansion extends the geofence northward toward Pflugerville along the US 183 corridor, incorporating additional neighborhoods north of the Domain and areas such as Mesa Park. These additions include higher-end residential and commercial districts that previously sat just outside the allowed operating zone.

Riders can now request unsupervised trips that begin or end in these newly included locations, provided the entire route remains inside the digital boundary:

Tesla first launched public Robotaxi operations in Austin in mid-2025 with a modest initial zone of about 20 square miles. Subsequent enlargements in 2025 and early 2026 steadily grew the map until it covered much of the metropolitan area.

After the last major update roughly ten months earlier, the company held the boundary steady while it collected additional miles and refined the FSD suite.

The modest nine percent increase still matters for daily utility. Longer trips become possible, more residents gain access, and the fleet can accumulate more diverse real-world data across new road types and traffic patterns. Observers note that the added territory aligns with existing Tesla service infrastructure, which could support more efficient vehicle staging in the North end of Austin.

Although the geofence has grown, Tesla continues to operate a relatively small unsupervised fleet in the city. The company has emphasized safety and software readiness over rapid geographic scaling. This latest map update signals that Tesla remains committed to expanding Robotaxi availability in its home market as it prepares for further software improvements and potential Cybercab deployments.

The 288-square-mile zone now gives Austin riders one of the larger driverless service areas currently available in the United States.

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Elon Musk’s Grok can basically control anything in your Tesla now

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Credit: Tesla

Tesla’s 2026 Summer Update turns Grok from a talking companion into a true in-car controller, with considerably expanded capabilities. Where the assistant once answered questions and handled navigation, it can now operate hardware and software through ordinary speech, including several requests at the same time.

Grok has become incredibly robust over the past few quarters, and this new ability that Tesla has included with its Summer Update is perhaps the clearest sign of just how capable it has become.

You can issue many commands to Grok at once, and each will be taken care of: anything from headlight control to climate adjustments to mirror folding can now all be taken care of with a simple sentence spoken toward Grok:

Here’s another example I used in my Model Y:

Tesla’s official Release Notes list the core powers of Grok’s new capabilities: Grok can place phone calls from a paired phone, search a streaming service and queue music, adjust climate, and search the Controls panel. Drivers can also ask it questions about the vehicle or the latest features included in a recent software update.

It can also take care of driving settings, dynamics, and other relevant preferences that deal with how the car operates and handles.

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Tesla Summer Update begins rolling out: a look at the new features

It’s also more of a use case than a novelty feature. Grok was great for learning about something that was being pondered while Full Self-Driving was taking care of the major automotive responsibilities, but it did have some useful functionality when it came to navigation.

Another less-noted improvement is the swift transition that Grok has from thinking of its answer to giving you one. In the past, it would take a few seconds for Grok to truly come up with a valuable response. It now seems that it is improving, at least slightly.

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Tesla is fixing Full Self-Driving’s pothole problem

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Tesla Model Y L in a field
Credit: Tesla

Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.

Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.

Tesla Cybercab uses a unique strategy for picking up the right rider

Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”

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Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.

Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.

Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.

In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.

Tesla to utilize micro maps for pothole-detection in future update

Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.

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That truly begins this week with the launch of Cybercab on Thursday.

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