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Tesla MIT study concludes that drivers maintain vigilance when using Autopilot
Tesla owners using Autopilot are highly engaged when driving with the feature despite fears to the contrary, according to a study recently published by scientists at MIT titled Human Side of Tesla Autopilot: Exploration of Functional Vigilance in Real-World Human-Machine Collaboration.
The data used in the study was generated from the over 1 billion miles driven by Tesla owners since its activation in 2015, about 35% of which were determined to be assisted by Autopilot. Of these, 18,928 disengagements of Autopilot were annotated, which indicated instances when drivers took over during challenging driving situations. Overall, the numbers demonstrate a high rate of driver vigilance.
Tesla has provided a unique opportunity to form a baseline for objective, representative analysis of real-world use of Autopilot, as stated in the study:
“Due to its scale of deployment and individual utilization, [Tesla’s] Autopilot serves as perhaps the currently best available opportunity to study and understand human interaction with AI assisted vehicles ‘in the wild’…naturalistic driving research can now begin investigating and identify both promising and concerning trends in drivers’ behavioral patterns in the context of Autopilot.”
As automation has expanded over the last several decades, a pattern of overtrust in reliable automated systems has been shown by human behavior research studies. In the context of driving scenarios where property damage, injury, or death are possible consequences, the concern with the transition to semi-autonomous systems relying on driver input to function safely is obviously significant. The results of the MIT study are therefore promising, initially showing an approach to automation in driving systems that’s more careful than other areas.
“The two main results of this work are that (1) drivers elect to use Autopilot for a significant percent of their driven miles and (2) drivers do not appear to over-trust the system to a degree that results in significant functional vigilance degradation in their supervisory role of system operation,” the MIT scientists concluded.
-->The study further notes that more research will be needed as more data becomes available and more familiarity grows with Autopilot’s features.
Tesla has received a fair amount of criticism and attention whenever an accident involves one of its cars, especially if Autopilot was engaged around the time of the event. However, Tesla consistently maintains its position that the feature is not yet fully autonomous and requires drivers to both pay attention and intervene when necessary while Autopilot is in operation. The program is additionally equipped with several alerts which give drivers audio and visual warnings if hands are not detected on the steering wheel, something found to have been ignored in some prior crash events, playing into concerns the MIT study sought to address.
Beginning in Q3 2018, Tesla has been releasing quarterly Vehicle Safety Reports providing updated numbers for vehicle incidents occurring both when Autopilot was engaged and when the driver-assist feature was deactivated. For Q3, the company reported one accident or crash-like event for every 3.34 million miles driven with Autopilot active and one event for every 1.92 million miles driven with Autopilot disengaged. In Q4 2018, those numbers dropped slightly, possibly due to winter conditions, to one accident for every 2.91 million miles driven with Autopilot engaged and one accident for every 1.58 million miles driven without.
By comparison, the National Highway Traffic Safety Administration’s (NHTSA) most recent data at the time showed a crash event every 436,000 miles, a figure which includes all vehicles in the US whether or not the cars are equipped with driving enhancement software. Tesla’s numbers further include both accidents that have occurred and “near-misses”, and the NHTSA’s figures only include accidents that actually transpired.
Along with touting a correlation between lower accident rates and Autopilot being engaged, Tesla also maintains its title of producing the safest cars in the world based on NHTSA test results.
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Tesla Model 3 named New Zealand’s best passenger car of 2025
Tesla flipped the switch on Full Self-Driving (Supervised) in September, turning every Model 3 and Model Y into New Zealand’s most advanced production car overnight.
The refreshed Tesla Model 3 has won the DRIVEN Car Guide AA Insurance NZ Car of the Year 2025 award in the Passenger Car category, beating all traditional and electric rivals.
Judges praised the all-electric sedan’s driving dynamics, value-packed EV tech, and the game-changing addition of Full Self-Driving (Supervised) that went live in New Zealand this September.
Why the Model 3 clinched the crown
DRIVEN admitted they were late to the “Highland” party because the updated sedan arrived in New Zealand as a 2024 model, just before the new Model Y stole the headlines. Yet two things forced a re-evaluation this year.
First, experiencing the new Model Y reminded testers how many big upgrades originated in the Model 3, such as the smoother ride, quieter cabin, ventilated seats, rear touchscreen, and stalk-less minimalist interior. Second, and far more importantly, Tesla flipped the switch on Full Self-Driving (Supervised) in September, turning every Model 3 and Model Y into New Zealand’s most advanced production car overnight.
FSD changes everything for Kiwi buyers
The publication called the entry-level rear-wheel-drive version “good to drive and represents a lot of EV technology for the money,” but highlighted that FSD elevates it into another league. “Make no mistake, despite the ‘Supervised’ bit in the name that requires you to remain ready to take control, it’s autonomous and very capable in some surprisingly tricky scenarios,” the review stated.
-->At NZ$11,400, FSD is far from cheap, but Tesla also offers FSD (Supervised) on a $159 monthly subscription, making the tech accessible without the full upfront investment. That’s a game-changer, as it allows users to access the company’s most advanced system without forking over a huge amount of money.
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Tesla starts rolling out FSD V14.2.1 to AI4 vehicles including Cybertruck
FSD V14.2.1 was released just about a week after the initial FSD V14.2 update was rolled out.
It appears that the Tesla AI team burned the midnight oil, allowing them to release FSD V14.2.1 on Thanksgiving. The update has been reported by Tesla owners with AI4 vehicles, as well as Cybertruck owners.
For the Tesla AI team, at least, it appears that work really does not stop.
FSD V14.2.1
Initial posts about FSD V14.2.1 were shared by Tesla owners on social media platform X. As per the Tesla owners, V14.2.1 appears to be a point update that’s designed to polish the features and capacities that have been available in FSD V14. A look at the release notes for FSD V14.2.1, however, shows that an extra line has been added.
“Camera visibility can lead to increased attention monitoring sensitivity.”
Whether this could lead to more drivers being alerted to pay attention to the roads more remains to be seen. This would likely become evident as soon as the first batch of videos from Tesla owners who received V14.21 start sharing their first drive impressions of the update. Despite the update being released on Thanksgiving, it would not be surprising if first impressions videos of FSD V14.2.1 are shared today, just the same.
-->Rapid FSD releases
What is rather interesting and impressive is the fact that FSD V14.2.1 was released just about a week after the initial FSD V14.2 update was rolled out. This bodes well for Tesla’s FSD users, especially since CEO Elon Musk has stated in the past that the V14.2 series will be for “widespread use.”
FSD V14 has so far received numerous positive reviews from Tesla owners, with numerous drivers noting that the system now drives better than most human drivers because it is cautious, confident, and considerate at the same time. The only question now, really, is if the V14.2 series does make it to the company’s wide FSD fleet, which is still populated by numerous HW3 vehicles.
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Waymo rider data hints that Tesla’s Cybercab strategy might be the smartest, after all
These observations all but validate Tesla’s controversial two-seat Cybercab strategy, which has caught a lot of criticism since it was unveiled last year.
Toyota Connected Europe designer Karim Dia Toubajie has highlighted a particular trend that became evident in Waymo’s Q3 2025 occupancy stats. As it turned out, 90% of the trips taken by the driverless taxis carried two or fewer passengers.
These observations all but validate Tesla’s controversial two-seat Cybercab strategy, which has caught a lot of criticism since it was unveiled last year.
Toyota designer observes a trend
Karim Dia Toubajie, Lead Product Designer (Sustainable Mobility) at Toyota Connected Europe, analyzed Waymo’s latest California Public Utilities Commission filings and posted the results on LinkedIn this week.
“90% of robotaxi trips have 2 or less passengers, so why are we using 5-seater vehicles?” Toubajie asked. He continued: “90% of trips have 2 or less people, 75% of trips have 1 or less people.” He accompanied his comments with a graphic showing Waymo’s occupancy rates, which showed 71% of trips having one passenger, 15% of trips having two passengers, 6% of trips having three passengers, 5% of trips having zero passengers, and only 3% of trips having four passengers.
The data excludes operational trips like depot runs or charging, though Toubajie pointed out that most of the time, Waymo’s massive self-driving taxis are really just transporting 1 or 2 people, at times even no passengers at all. “This means that most of the time, the vehicle being used significantly outweighs the needs of the trip,” the Toyota designer wrote in his post.
-->Cybercab suddenly looks perfectly sized
Toubajie gave a nod to Tesla’s approach. “The Tesla Cybercab announced in 2024, is a 2-seater robotaxi with a 50kWh battery but I still believe this is on the larger side of what’s required for most trips,” he wrote.
With Waymo’s own numbers now proving 90% of demand fits two seats or fewer, the wheel-less, lidar-free Cybercab now looks like the smartest play in the room. The Cybercab is designed to be easy to produce, with CEO Elon Musk commenting that its product line would resemble a consumer electronics factory more than an automotive plant. This means that the Cybercab could saturate the roads quickly once it is deployed.
While the Cybercab will likely take the lion’s share of Tesla’s ride-hailing passengers, the Model 3 sedan and Model Y crossover would be perfect for the remaining 9% of riders who require larger vehicles. This should be easy to implement for Tesla, as the Model Y and Model 3 are both mass-market vehicles.
Tesla Model 3 named New Zealand’s best passenger car of 2025
Tesla starts rolling out FSD V14.2.1 to AI4 vehicles including Cybertruck
