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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.
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 Tesla Diner has been subject to many points of criticism since its launch in mid-2025, and skeptics and disbelievers claim the company’s latest novel concept is on its way down, but there’s a lot of evidence to state that is not the case.
The piece cites anecdotal evidence like empty parking lots, more staff than customers during a December visit, removed novelty items, like Optimus robot popcorn service and certain menu items, the departure of celebrity chef Eric Greenspan in November 2025, slow service, high prices, and a shift in recent Google/Yelp reviews toward disappointment.
The piece frames this as part of broader Tesla struggles, including sales figures and Elon Musk’s polarizing image, calling it a failed branding exercise rather than a sustainable restaurant.
This narrative is overstated and sensationalized, and is a good representation of coverage on Tesla by today’s media.
Novelty Fade is Normal, Not Failure
Any hyped launch, especially a unique Tesla-branded destination blending dining, Supercharging, and a drive-in theater, naturally sees initial crowds taper off after the “Instagram effect” wears down.
Tesla makes major change at Supercharger Diner amid epic demand
This is common for experiential spots in Los Angeles, especially pop-up attractions or celebrity-backed venues. The article admits early success with massive lines and social media buzz, but treats the return to normal operations as “dying down.”
In reality, this stabilization is a healthy sign of transitioning from hype-driven traffic to steady patronage.
Actual Performance Metrics Contradict “Ghost Town” Claims
- In Q4 2025, the Diner generated over $1 million in revenue, exceeding the average McDonald’s location
- It sold over 30,000 burgers and 83,000 fries in that quarter alone. These figures indicate a strong ongoing business, especially for a single-location prototype focused on enhancing Supercharger experiences rather than competing as a mass-market chain
It’s not a ghost town lol. The @Tesla Diner still had over 30,000 burger orders and 83,000 fries orders in Q4. The diner generated over $1M in revenue in Q4, a $4M annual run rate, which is more than the average McDonald’s…. pic.twitter.com/XvAGLUqxej
— Sawyer Merritt (@SawyerMerritt) January 4, 2026
Conflicting On-the-Ground Reports
While the article, and other similar pieces, describe a half-full parking lot and sparse customers during specific off-peak visits, other recent accounts push back:
- A January 2026 X post noted 50 of 80 Supercharger stalls were busy at 11 a.m., calling it “the busiest diner in Hollywood by close to an order of magnitude
TESLA DINER 🍔
Frantic!!!
Crazy busy. pic.twitter.com/wMbmr8SFFn
— Rich & Sharon (@HullTeslaModel3) January 4, 2026
- Reddit discussions around the same time describe it as not empty when locals drive by regularly, with some calling the empty narrative “disingenuous anti-Tesla slop.”
When we visited it last week it was packed. We had to wait to enter, get a table and go to the restroom. We were lucky to find a spot to charge.
— Rani G (@ranig) January 4, 2026
Bottom Line
The Tesla Diner, admittedly, is not the nonstop circus it was at launch–that was never sustainable or intended. But, it’s far from “dying” or an “empty pit stop.”
It functions as a successful prototype: boosting Supercharger usage, generating solid revenue, and serving as a branded amenity in the high-traffic EV market of Los Angeles.
News
Tesla stands to win big from potential adjustment to autonomous vehicle limitations
Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.
Tesla stands to be a big winner from a potential easing of limitations on autonomous vehicle development, as the United States government could back off from the restrictions placed on companies developing self-driving car programs.
The U.S. House Energy and Commerce subcommittee will hold a hearing later this month that will aim to accelerate the deployment of autonomous vehicles. There are several key proposals that could impact the development of self-driving cars and potentially accelerate the deployment of this technology across the country.
These key proposals include raising the NHTSA’s exemption cap from 2,500 to 90,000 vehicles per year per automaker, preempting state-level regulations on autonomous vehicle systems, and mandating NHTSA guidelines for calibrating advanced driver assistance systems (ADAS).
Congress, to this point, has been divided on AV rules, with past bills like the 2017 House-passed measure stalling in the Senate. Recent pushes come from automakers urging the Trump administration to act faster amid competition from Chinese companies.
Companies like Tesla, who launched a Robotaxi service in Austin and the Bay Area last year, and Alphabet’s Waymo are highlighted as potential beneficiaries from lighter sanctions on AV development.
The NHTSA recently pledged to adopt a quicker exemption review for autonomous vehicle companies, and supporters of self-driving tech argue this will boost U.S. innovation, while critics are concerned about safety and job risks.
How Tesla Could Benefit from the Proposed Legislation
Tesla, under CEO Elon Musk’s leadership, has positioned itself as a pioneer in autonomous driving technology with its Full Self-Driving software and ambitious Robotaxi plans, including the Cybercab, which was unveiled in late 2024.
The draft legislation under consideration by the U.S. House subcommittee could provide Tesla with significant advantages, potentially transforming its operational and financial landscape.
NHTSA Exemption Cap Increase
First, the proposed increase in the NHTSA exemption cap from 2,500 to 90,000 vehicles annually would allow Tesla to scale up development dramatically.
Currently, regulatory hurdles limit how many fully autonomous vehicles can hit the roads without exhaustive approvals. For Tesla, this means accelerating the rollout of its robotaxi fleet, which Musk envisions as a network of millions of vehicles generating recurring revenue through ride-hailing. With Tesla’s vast existing fleet of over 6 million vehicles equipped with FSD hardware, a higher cap could enable rapid conversion and deployment, turning parked cars into profit centers overnight.
Preempting State Regulations
A united Federal framework would be created if it could preempt State regulations, eliminating the patchwork of rules that currently complicate interstate operations. Tesla has faced scrutiny and restrictions in states like California, especially as it has faced harsh criticism through imposed testing limits.
A federal override of State-level rules would reduce legal battles, compliance costs, and delays, allowing Tesla to expand services nationwide more seamlessly.
This is crucial for Tesla’s growth strategy, as it operates in multiple markets and aims for a coast-to-coast Robotaxi network, competing directly with Waymo’s city-specific expansions.
Bringing Safety Standards to the Present Day
Innovation in the passenger transportation sector has continued to outpace both State and Federal-level legislation, which has caused a lag in the development of many things, most notably, self-driving technology.
Updating these outdated safety standards, especially waiving requirements for steering wheels or mirrors, directly benefits Tesla’s innovative designs. Tesla wanted to ship Cybertruck without side mirrors, but Federal regulations required the company to equip the pickup with them.
Cybercab is also planned to be released without a steering wheel or pedals, and is tailored for full autonomy, but current rules would mandate human-ready features.
Streamlined NHTSA reviews would further expedite approvals, addressing Tesla’s complaints about bureaucratic slowdowns. In a letter written in June to the Trump Administration, automakers, including Tesla, urged faster action, and this legislation could deliver it.
In Summary
This legislation represents a potential regulatory tailwind for Tesla, but it still relies on the government to put forth action to make things easier from a regulatory perspective. Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Tesla Diner defies the ‘Doom’ narrative: Profitable, Popular, and Here to Stay
Tesla stands to win big from potential adjustment to autonomous vehicle limitations
