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Former Ford CEO hammers Tesla’s Autopilot probe: ‘It’s half the vehicles Tesla has ever built’
Former Ford CEO Mark Fields hammered Tesla’s Autopilot probe from the NHTSA earlier today on an episode of CNBC’s Squawk Box, stating that over half of the cars the automaker has ever built are involved in the investigation.
Earlier this week, it was announced the NHTSA was launching a probe into the Autopilot system Tesla has equipped on its vehicles. The investigation involves all four of Tesla’s models from year 2014 to 2021, as it aligns with the specifications that the NHTSA’s Office of Defects Investigation listed in its preliminary report. In total, some 765,000 vehicles are going to be a part of the investigation, although only 11 crashes are listed on the document, which the agency shared with Teslarati.
“The Office of Defects Investigation (ODI) has identified eleven crashes in which Tesla models of various configurations have encountered first responder scenes and subsequently struck one or more vehicles involved with those scenes,” it says.
Fmr. Ford CEO Fields: “It’s literally over half of the vehicles Tesla has ever built.”
Mark Fields, who was CEO of Ford Motor Company from 2014 to 2017, appeared on CNBC this morning to talk about the probe. “This is a significant investigation,” he said. However, Fields misidentifies which Tesla semi-autonomous driving suite is actually under investigation, as he claims it is the Full Self-Driving package. FSD is significantly different than Autopilot based on features and functionality alone, and the NHTSA never mentions the Full Self-Driving suite at any point in its document.
Fields points toward the population density of the investigation as a telltale sign that this could be bad news for Tesla, as over half of its produced vehicles could be subjected to a massive recall that could cost the automaker billions of dollars. Tesla surpassed the 1 million production mark in 2020 and is nearing the 2 million vehicle mark this year.
“If you look at the model years, this is a very large time period they’re investigating: 2014-2021. If you look at the number of potentially affected vehicles, it’s …. literally over half of the vehicles $TSLA has ever built,” auto exec Mark Fields on the NHTSA investigation. pic.twitter.com/kwcUT5Jd47
— Squawk Box (@SquawkCNBC) August 17, 2021
The investigation does focus on a larger than half portion of Tesla’s production population in its short history. However, it is worth noting that the company did not mass produce vehicles until 2017 with the introduction of the Model 3. Additionally, Autopilot is available on all Tesla vehicles and was included as a standard feature in March 2019. Full Self-Driving is not a part of this investigation, and is a separate $10,000 charge on top of the vehicle’s purchase price but is completely optional.
Fields said that the investigation could take between a year and a year and a half based on his knowledge of the NHTSA investigation process. If the NHTSA concludes the Autopilot functionality is not up to its standards, it can issue a recall, Fields added.
The 11 Accidents: a Breakdown
According to the NHTSA documents, the 11 incidents involving a Tesla occurred when the vehicles collided with first responders. However, several investigations have already shown that drivers operating the vehicles in some of the incidents were under the influence of drugs or alcohol (2), had suspended licenses (1), were not following instructions that Tesla outlines for Autopilot use, or was caused by driver inattention (4).
In February 2021, a Tesla driver injured five deputy constables when the vehicle collided with a police cruiser, causing a chain collision. The driver was arrested on suspicion of DWI.
In March 2021, a driver in Lansing, Michigan, with a suspended license, crashed into a police cruiser. The vehicle was operating on Autopilot, but the driver was illegally operating the vehicle.
These are just two examples of what the accidents were caused by, and drivers could be blamed for several instances that the NHTSA lists. Autopilot has been one of the safest ways to operate a motor vehicle, according to statistics from Tesla that showed there was one accident every 4.19 million miles in which drivers had Autopilot engaged. The national average was one crash every 484,000 miles.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
