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Tesla’s race to autonomy: No one said it would be easy
Need to type up a quick memo before work? Forgot to eat breakfast before driving to school? In just a few years, driving may be a more hands-off endeavor than ever before if companies like Tesla, Uber, Volvo, Alphabet, General Motors, or Ford have anything to do about it. You could be a passenger in your own self-driving car, weaving in and out of traffic with ease and parallel parking like a pro every time. It seems like most every company even tangentially related to cars is pouring money into the race for autonomy.
The freedom of self-driving cars is still heavily dependent on regulatory whim and technological availability, but some are setting demanding goals in an effort to finish first in that race. Tesla for example, plans to showcase its Full Self-Driving Capability by driving one of its fleet cars from California to New York, without human involvement, by the end of this year. But their competitors are moneyed, motivated and many.
The Self-Driving Battle Arena
For Uber, success in autonomous driving research could be a sweet distraction from the recent troubles of the company. Its self-driving program has been based in Pittsburgh, right next to Carnegie Mellon with its highly regarded robotics program since it began in 2015. Then-CEO Travis Kalanick was determined to stay on top of the industry. “It starts with understand that the world is going to go self-driving and autonomous,” Kalanick said in a 2016 interview with Business Insider. “So if that’s happening, what would happen if we weren’t a part of that future? If we weren’t part of the autonomy thing? Then the future passes us by basically, in a very expeditious and efficient way.”
Plagued by lawsuits, investigations, and subsequent executive upheaval that saw Kalanick’s resignation from the enterprise he founded, Uber is still one of the best places for researchers and engineers to work on their projects. The company has armies of vehicles across the country, vast datasets of information from the millions of miles its cars have covered through its ride-hailing branch, and the money to fund its engineers’ work.
This does not mean that Uber’s self-driving program has remained untouched. Waymo, the autonomous car division of Google’s parent company, Alphabet, is currently suing Uber over files allegedly by Anthony Levandowski when he moved from Waymo to Uber. According to Reuters, in recent court filings, Waymo has claimed that Uber knew of the stolen intellectual property and even conspired with Levandowski to use it. Uber denies the allegations and actually fired Levandowski on May 30, claiming he had not cooperated with their internal investigation– and probably hoping to win some goodwill from the judge who has already said Waymo had produced a convincing case.
It is unlikely the scandals will affect the decisions of most researchers to stay with the company. As Wired’s Aarian Marshall points out, the long timeline of building a safe autonomous car makes engineers less likely to leave at a moment’s notice in a period of executive instability. And the branch’s position in Pittsburgh rather than Silicon Valley means the roiling news is less sensationalized and the researchers less affected. The ride-sharing company’s failure to live up to certain promises, including backing one of Pittsburgh’s federal grant proposals or hiring from neighborhoods near its test tracks, have drawn ire from many local activists and politicians, as reported by the New York Times. Even so, it has helped the city break away from its steel past and into a high-tech future.
Meanwhile, Uber’s main competitor in the ride-sharing industry, Lyft, has been making strides to continue chipping away Uber’s monopoly in any field, including self-driving cars, as Uber deals with scandal after scandal. As reported by Recode, Lyft is steadily gaining ground on Uber in terms of the share of ride-hailing app downloads as its ratings in the IOS App Store rise and Uber’s falls. This recent shift in market share comes as Waymo and Lyft start a new partnership that will combine Waymo’s advanced technology with Lyft’s vast amounts of data on people, where and how they drive. “Lyft’s vision and commitment to improving the ways cities move with help Waymo’s self-driving technology reach more people, in more places,” a Waymo spokesperson told Wired. Extending Waymo’s dataset beyond the few cities, including Phoenix and Pittsburgh, allows the enterprise to collect the small details of average people’s driving habits much faster and accurately than its test drives around Silicon Valley will.
But despite Waymo’s eight years of self-driving research, it still has to play catch up to Uber in some regards. Waymo just started testing autonomous trucks earlier this month, while Uber first used a self-driving truck to deliver a shipment last August, advancing its technology quickly after it snatched up the self-driving truck startup Otto—founded by Anthony Levandowski after he left Waymo— in January of 2016. Yet, Waymo has the benefit of its parent company’s huge cash reserves and data.
Growing Pains
Tesla is moving its autonomous program forward at an increasingly demanding pace, trying to meet that goal of driving from Los Angeles to New York by the end of this year. It, like Uber, is going through some executive shakeup: after just six months with Tesla, Chris Lattner, Vice President of its Autopilot Software program, left the company after reported tensions with Elon Musk. Tesla explained that the former Apple engineer was not a “good fit.” It stands to mention that working under Musk is notoriously a high-pressure gig. According to LinkedIn Insights, the average tenure of a Tesla employee is only 2.2 years, while companies like General Motors keeps its employees for almost 9. But Lattner’s exit is just one example of many of talented Tesla self-driving engineers leaving the company or being poached by the competition, like Waymo.
While Autopilot can do many impressive things— change lanes, brake before obstacles, and generally act as a rational human driver— it is far from perfect. The program is still technically in “public beta” testing, and rated by the National Transportation Safety Board as a 2 out of 5 on its scale of autonomy.
The fatal crash of a Model S owner Joshua Brown in May 2016 serves as a good reminder that drivers are cautioned to pay attention and keep their hands on the wheel at all times while using Autopilot. Tesla’s driving-assist feature, at the time, could not distinguish the difference between the bright sky and the white truck. Tesla and Autopilot were cleared of responsibility by the NTSB because Brown was given several warnings to take back control of the wheel. But it is a poignant example that Autopilot does not function as a self-driving car and still requires a driver’s full attention. After the accident, Tesla was forced to start developing its own hardware for Autopilot. Mobileye, which previously supplied Tesla’s image processing chips, ended its partnership in a public spat with Musk.
According to Lattner’s public resume, the transition to its own hardware presented “many tough challenges” to the Tesla team. Musk commented to shareholders in June that Tesla is “almost there in terms of exceeding the ability” of the original hardware. All of Tesla’s vehicles in production, including the upcoming Model 3, have the capability to engage Autopilot (for a price) and the necessary hardware to enable full self-driving someday. Autopilot will continue using the camera-based system that Tesla swears by, even as most of the industry focuses on developing LiDAR technology based on light and lasers.
And while Tesla prefers to work mostly alone, the rest of the industry is also pairing up, making deals, partnerships, and contracts between manufacturers, data giants, and service teams. Musk is taking a move out of Steve Jobs’ playbook by vertically integrating everything within the business, from top-to-bottom. Waymo and Honda, Lyft and Waymo, Autoliv and Volvo, Hertz and Apple, Intel and Mobileye, Audi and NVIDIA, and almost every other combination you could think of. Predictions for when the first company will reach the finish line range from within a year to two decades from now. And even if the car is made, there is still the question of if cities and states will allow autonomous vehicles to drive on their streets. The technology is closer than ever, but for now, please keep your eyes on the road.
News
Tesla launches amazing new feature for shared vehicles
Tesla has quietly introduced one of its most practical software features yet in update 2026.8: real-time visibility of the active driver profile directly in the Tesla mobile app. Available under the Security & Drivers section, this new tool lets owners see exactly who is behind the wheel or who last drove the vehicle.
Tesla is launching an amazing new feature for shared vehicles, giving owners more transparency when they choose to have a Tesla ownership experience with another driver.
This is one of the many advantages of having a Tesla. New features are constantly rolled out through software updates and Over-the-Air fixes, which download directly to the car with an internet connection.
Tesla has quietly introduced one of its most practical software features yet in update 2026.8: real-time visibility of the active driver profile directly in the Tesla mobile app. Available under the Security & Drivers section, this new tool lets owners see exactly who is behind the wheel or who last drove the vehicle.
The feature works seamlessly. While the car is driving, the app displays the name of the currently selected driver profile in real time.
When the vehicle is parked or asleep, it shows the last active profile.
Requiring both the 2026.8 vehicle software and the latest Tesla app, the update brings this capability to every model in the lineup, including legacy Model S and Model X vehicles, which are unfortunately being phased out of the company lineup later this year.
Tesla makes latest move to remove Model S and Model X from its lineup
The feature was first reported on by Not a Tesla App.
Tesla driver profiles have always excelled at personalization, automatically adjusting seat positions, mirrors, steering wheel height, climate settings, navigation recents and favorites, and media preferences.
These profiles link to specific phone keys for automatic activation and support PIN protection for privacy and security. Restricted profiles for teens can also limit speed or features.
This feature shines brightest in single-car households with multiple drivers. Families, couples, and roommates frequently share one Tesla, leading to constant adjustments and questions about settings. Now, a quick app check reveals the current profile, allowing users to anticipate seat configurations or confirm usage without entering the vehicle.
Tesla’s cloud-synced driver profiles to bring custom settings across multiple cars
Parents particularly benefit: they can verify that teens are driving under their assigned (and possibly restricted) profiles, adding a layer of safety oversight and peace of mind. Teslas are already so incredibly safe that many parents dream of putting their kids in one.
Two kids around the same age could now share a Tesla, and this feature would make that effort, which is likely to be a difficult one at times, more seamless.
Beyond convenience, it promotes accountability and reduces everyday friction. No more manual profile switching or arguments over mirror positions. Before approaching the car, anyone can check the app and know exactly what to expect, no more wasted minutes readjusting everything.
In multi-driver setups, it transforms the shared EV into a truly intelligent, user-aware machine that respects individual preferences while keeping the primary owner informed.
Tesla’s commitment to over-the-air updates continues to enhance ownership value years after purchase.
This small but significant addition highlights how software can solve real-world problems in multi-user environments, making Tesla vehicles more family-friendly and practical than ever. For the millions of owners sharing a single car, the 2026.8 update delivers transparency, time savings, enhanced safety, and effortless personalization. It is a great new feature that is rolling out to vehicles now.
Elon Musk
Elon Musk’s TERAFAB project: Everything you need to know
The CEO has hinted heavily for several quarters that it would probably need to produce its own computing power to stay up to speed on the demand it is facing for its projects. It is now taking matters into its own hands.
On Sunday, Elon Musk formally made TERAFAB official—a groundbreaking $20-25 billion joint venture uniting Tesla, SpaceX, and xAI, three of the world’s richest man’s most significant and powerful ventures.
Musk described the project as “the most epic chip building exercise in history by far.”
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
The initiative aims to produce over one terawatt of AI compute annually, dwarfing the global industry’s current output of roughly 20 gigawatts per year. Musk framed the effort as “the next step towards becoming a galactic civilization,” positioning it as essential for scaling humanity into a multi-planetary species.
The Need for TERAFAB
Existing chip suppliers such as TSMC, Samsung, and Micron cannot expand quickly enough to meet the explosive demand for AI hardware.
We’re building TERAFAB to close the gap between today’s chip production & the future’s demand – a future among the stars.
Join us → https://t.co/512DIlqNgY pic.twitter.com/ATr0e0pRDJ
— SpaceX (@SpaceX) March 22, 2026
Musk explained the situation clearly:
“We’re very grateful to our existing supply chain… but there’s a maximum rate at which they’re comfortable expanding. We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab.”
The CEO has hinted heavily for several quarters that it would probably need to produce its own computing power to stay up to speed on the demand it is facing for its projects. It is now taking matters into its own hands.
Chip Types and Production Goals
The facility will manufacture two specialized chip families, according to the presentation:
- Edge-inference AI5 and AI6 processors optimized for Tesla’s Optimus humanoid robots and Full Self-Driving systems in vehicles and Robotaxis
- High-power D3 chips hardened for space environments
Musk outlined annual output targets, which are between 100 and 200 gigawatts of terrestrial compute for robotics, supporting Musk’s vision of producing 1-10 billion Optimus units per year, and the majority (80%) of chips dedicated to orbital AI data centers. Overall, TERAFAB aims to produce 100-200 billion custom AI and memory chips each year.
Scale and Strategy
The size of the TERAFAB project will be remarkable, as Musk indicated after the presentation that the entire Gigafactory Texas campus would not be large enough to fit the needs of the project. In fact, Musk said it would be around 100 million square feet in size, the equivalent of 15 Pentagons or three Central Parks.
Yes, the one in New York City.
Construction will begin with an “advanced technology fab” on the Giga Texas campus in Austin, enabling rapid iteration: design a chip, fabricate lithography masks, produce and test wafers, all within days.
However, the full-scale TERAFAB requires thousands of acres and over 10 gigawatts of power, far exceeding what Giga Texas can accommodate. Musk stated:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.”
Multiple large sites are currently under consideration, but this will need a sprawling land mass to get started.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Key Applications
TERAFAB will be a crucial part of the development of some of Tesla’s most valuable projects, including Optimus and data center development, especially from an orbital standpoint. For that reason, we will break this down into Terrestrial and Orbital applications:
- Terrestrial: Powers autonomous vehicle fleets and billions of Optimus robots performing physical labor
- Orbital: Starship will launch massive AI satellite constellations, starting with 100-kilowatt “Mini” units, and scaling to larger Megawatt models, creating the world’s largest data center in low-Earth orbit.
Space-based advantages include five times greater solar irradiance, efficient vacuum heat rejection, and freedom from terrestrial grid constraints (U.S. electricity generation totals just 0.5 terawatts). Musk emphasized the principle:
“Quantity has a quality all its own.”
We wrote about SpaceX’s recent filing with the FCC for 1 million orbital data center plans.
Strategic Vision
TERAFAB represents vertical integration at an unprecedented scale, combining AI hardware, robotics, and orbital infrastructure.
Musk described the project as “the final missing piece of the puzzle.” With production ramping toward 2027, TERAFAB is set to accelerate an era of abundance, transforming science fiction into reality and positioning Musk’s companies at the forefront of galactic-scale innovation.
Elon Musk
Elon Musk offers to pay TSA salaries as government shutdown leaves agents without paychecks
Elon Musk offered to personally cover TSA salaries as the DHS shutdown deepens travel chaos nationwide.
Elon Musk says that he is willing to personally cover the salaries of Transportation Security Administration (TSA) workers caught in the crossfire of a partial government shutdown that has now dragged on for over a month. “I would like to offer to pay the salaries of TSA personnel during this funding impasse that is negatively affecting the lives of so many Americans at airports throughout the country,” Musk wrote.
I would like to offer to pay the salaries of TSA personnel during this funding impasse that is negatively affecting the lives of so many Americans at airports throughout the country
— Elon Musk (@elonmusk) March 21, 2026
The offer arrives as Congress let funding expire for the Department of Homeland Security on February 14, amid a disagreement over immigration enforcement, leaving most TSA employees classified as essential and on duty but working without pay. The timing could not be more disruptive, as the shutdown is colliding directly with spring break travel season when millions of Americans are in the air.
This is not the first time TSA workers have endured this kind of hardship. TSA agents are being asked to work without pay until congressional action unblocks their paychecks, having previously held out through the longest government shutdown in U.S. history at 43 days. The pattern reveals a systemic failure in how Congress funds critical security infrastructure, and Musk’s offer shines a spotlight on that recurring failure at a moment when the public is directly feeling its effects through long lines and terminal closures.
Whether Musk can legally follow through remains unclear, as federal law generally prohibits government employees from receiving outside compensation related to their official duties.
Tesla launches amazing new feature for shared vehicles
Elon Musk’s TERAFAB project: Everything you need to know
