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Do autonomous cars make us worse drivers?

Autonomous cars are coming. So is the first fatality associated with them. Statistically, that milestone should occur in the next 18 months. What will happen then?

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Tesla in autonomous mode

On May 31, 2009, an Airbus 330 on its way from Rio de Janiero to Paris plunged from an altitude of 35,000 feet into the Atlantic, killing all 228 people on board. Just prior to the crash, the airplane was operating in autopilot mode. A reconstruction of the disaster revealed input from several sensors had been compromised by ice that caused them to give false readings. Updated sensors that were less susceptible to ice accumulation were waiting to be installed after the plane arrived in Paris.

Because of the false readings the autopilot system disengaged returning control to the pilots however the senior pilot was sleeping at the time. The two junior pilots were not as highly trained in high altitude flight as they might have been, partly because the use of machines to control aircraft under those conditions was the norm.

Faced with the unexpected, the pilots behaved poorly. At one point they are heard to say on the cockpit recorder, “We completely lost control of the airplane, and we don’t understand anything! We tried everything!” While they tried to rouse the sleeping senior pilot, the nose of the aircraft climbed until a stall was induced. Stall is the point at which the wings become barn doors instead of airfoils. The Airbus 330 dropped from the sky like a rock.

In his excellent story about the crash published on Vanity Fair, William Langewiesche offered this conclusion: “Automation has made it more and more unlikely that ordinary airline pilots will ever have to face a raw crisis in flight—but also more and more unlikely that they will be able to cope with such a crisis if one arises.”

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The Tesla community has seen similar instances lately. The driver in Salt Lake City who accidentally activated Summon, causing his car to drive into the back of a truck. The woman on a freeway in California who rear ended a car that suddenly slowed in front of her. The man in Europe who crashed into the back of a van that had stalled in the high speed lane of a highway. He at least had the courage to admit his error. “Yes, I could have reacted sooner, but when the car slows down correctly 1,000 times, you trust it to do it the next time to. My bad.”

After each of these incidents, the tendency has been for many to defend the machine and blame the human. But in a recent article for The Guardian, author Martin Robbins says, “Combine an autopilot with a good driver, and you get an autopilot with, if not a bad driver, at least not such a good one.” He says that statistically, the time when a car operating in autonomous mode causes a fatality is rapidly approaching.

Tesla_Model_S_dashcam-tacc-crash-van

Tesla Model S owner crashes into the back of a stalled van

On average, a person is killed in a traffic accident in the United States once every 100 million miles. Elon Musk says Tesla’s Autopilot is half as likely to be involved in a collision as a human driver. That would suggest that somewhere around the 200 million mile mark someone will die as a result of an automobile driven by a machine.

Tesla has already passed the 100 million mile mark for cars driving in Autopilot mode and continues to log 2.6 million miles driven per day. Statistically speaking, the time when a self driving car kills somebody is rapidly approaching. And since most autonomous cars on the road are Teslas, the odds are excellent it will be a Tesla that is involved in that first fatality.

What will happen then? Robbins goes back in history to look for an answer to that question. In 1896, Bridgit Driscoll became the first person in England to be killed by a motor car. The reaction among the public and the press was a fatalistic acceptance that progress will have a price. Within a few years, the speed limit in England was raised from 8 mph — which is was when Ms. Driscoll was killed — to 20 mph. This despite the fact that thousands of road deaths were being recorded on English roads by then.

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Regulators around the world are racing to catch up with the explosion of new autonomous driving technology. But Robbins concludes,  “By the time they do, it’s likely that the technology will already be an accepted fact of life, its safety taken for granted by consumers, its failures written off as the fault of its error-prone human masters.”

The point is that injuries and fatalities will continue to occur as cars come to rely more and more on machines for routine driving chores. But in that transition period between now and the time when Level 4 autonomy becomes the norm — the day when cars come from the factory with no way for humans to control them directly — we need to accept that complacency and an inflated belief in the power of machines to protect us from harm may actually render us less competent behind the wheel.

We will need to remain vigilant, if for no other reason than telling a jury “It’s not my fault! The machine failed!” is not going to insulate us from the legal requirement to operate our private automobiles in a safe and prudent manner.

 

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"I write about technology and the coming zero emissions revolution."

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What is Digital Optimus? The new Tesla and xAI project explained

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Credit: Grok

Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.

This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.

Tesla announces massive investment into xAI

At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.

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Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.

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xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.

When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.

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Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.

Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.

It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.

Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.

By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.

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As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.

In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.

It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.

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Tesla adds awesome new driving feature to Model Y

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

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Credit: Tesla

Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.

Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.

Tesla writes in the release notes for the feature:

“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”

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Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.

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There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.

This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.

Tesla set to activate long-awaited Cybertruck feature

Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.

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Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.

We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.

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Tesla finally brings a Robotaxi update that Android users will love

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android.

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Credit: Grok

Tesla is finally bringing an update of its Robotaxi platform that Android users will love — mostly because it seems like they will finally be able to use the ride-hailing platform that the company has had active since last June.

Based on a decompile of software version 26.2.0 of the Robotaxi app, Tesla looks to be ready to roll out access to Android users.

According to the breakdown, performed by Tesla App Updates, the company is preparing to roll out an Android version of the app as it is developing several features for that operating system.

The breakdown of the software version shows that Tesla is actively developing an Android-compatible version of the Robotaxi app, and the company is developing Live Activities for Android:

“Strings like notification_channel_robotaxid_trip_name and android_native_alicorn_eta_text show exactly how Tesla plans to replicate the iOS Live Activities experience. Instead of standard push alerts, Android users are getting a persistent, dynamically updating notification channel.”

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This is a big step forward for several reasons. From a face-value perspective, Tesla is finally ready to offer Robotaxi to Android users.

The company has routinely prioritized Apple releases because there is a higher concentration of iPhone users in its ownership base. Additionally, the development process for Apple is simply less laborious.

Tesla is working to increase Android capabilities in its vehicles

Secondly, the Robotaxi rollout has been a typical example of “slowly then all at once.”

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Tesla initially released Robotaxi access to a handful of media members and influencers. Eventually, it was expanded to more users, so that anyone using an iOS device could download the app and hail a semi-autonomous ride in Austin or the Bay Area.

Opening up the user base to Android users may show that Tesla is preparing to allow even more users to utilize its Robotaxi platform, and although it seems to be a few months away from only offering fully autonomous rides to anyone with app access, the expansion of the user base to an entirely different user base definitely seems like its a step in the right direction.

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