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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?
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.”
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 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.
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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.
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.
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
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The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
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Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
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This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
Autonomous vehicle red tape gets slashed by Trump Administration
Elon Musk has a crazy prediction about AI in two years
