Elon Musk’s cautionary statements about uncontrolled experimentation with artificial intelligence (AI) have caused some to ridicule him as a fear-monger, and have given many in the mainstream press the idea that he is opposed to using AI, which is very far from the truth. In fact, AI is a major component of Tesla’s Autopilot system, and the company applies it in several other areas as well.
It was only recently that Tesla publicly revealed that it is working on its own AI hardware. At the NIPS machine learning conference in December, Elon Musk announced that Tesla is “developing specialized AI hardware that we think will be the best in the world.” The company has offered few details, but it’s widely assumed that the main application will be processing the algorithms for Tesla’s Autopilot software.
As Bernard Marr reports in a recent article in Forbes, there’s little doubt that Tesla is way ahead of its potential rivals in the data-gathering department. Every Model S and X built with the Autopilot hardware suite, which was introduced in September 2014, has the potential to become self-driving, and all Tesla vehicles, Autopilot-enabled or not, continually gather data and send it to the cloud. The company has many more sensors on the roads than any of its Detroit or Silicon Valley rivals, and the number will mushroom when Model 3 production hits its stride.
Tesla is crowd-sourcing data not only from its vehicles, but could one day obtain data on its drivers through internal cameras that detect hand placement on instruments or a person’s state of alertness. The company uses the information not only to improve Autopilot by generating data-dense maps, but also to diagnose driving behavior. Many believe that this sort of data will prove to be a valuable commodity that could be sold to third parties (much as data on web-browsing habits is today). McKinsey and Company has estimated that the market for vehicle-gathered data could be worth $750 billion a year by 2030.
Forbes explains that the AI built into Tesla’s system operates at several levels. Machine learning in the cloud educates the entire fleet, while within each individual vehicle, “edge computing” can make decisions about actions a car needs to take immediately. There’s also a third level of decision-making, in which cars can form networks with other Tesla vehicles nearby in order to share local information. In the future, when there are lots of autonomous cars on the road, these networks could also interface with cars from other makers, and systems such as traffic cameras, road-based sensors, and mobile phones.
At this point, no one knows what new forms of AI technology the mad scientists in Palo Alto are cooking up, but Forbes found some clues on the Facebook page of Tesla’s hardware partner Nvidia: “In contrast to the usual approach to operating self-driving cars, we did not program any explicit object detection, mapping, path planning or control components into this car. Instead, the car learns on its own to create all necessary internal representations necessary to steer, simply by observing human drivers.”
This unsupervised learning model contrasts with the more familiar approach of supervised learning, in which algorithms are trained beforehand about right or wrong decisions. Each approach has its pros and cons, and it’s likely that Tesla’s strategy includes both.
Forbes reports that Tesla’s use of AI is not limited to Autopilot – the company employs machine learning in the design and manufacturing processes, to process customer data, and even to scan the text in online forums for insights into commonly-reported problems. It’s ironic that some in the press choose to portray Elon Musk as an AI Luddite, when in fact Tesla may be one of the most sophisticated users of the technology.
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Note: Article originally published on evannex.com, by Charles Morris
Source: Forbes
Lifestyle
NTSB findings on fatal Tesla crash tell a very different story
The NTSB confirmed the driver, not Tesla’s FSD, caused the fatal Texas house crash.
The National Transportation Safety Board released preliminary findings Wednesday confirming that a Tesla driver, not the vehicle’s software, caused a fatal crash in Katy, Texas in June. The driver, 44-year-old Michael Butler, had engaged Full Self-Driving Supervised mode on Rose Hollow Lane, a residential street with a 30 mph speed limit, before manually overriding the system by pressing the accelerator pedal all the way to 100%. Data recovered from the 2025 Tesla Model 3 showed the vehicle was traveling over 70 miles per hour when it struck a home and killed 76-year-old Martha Avila, who was inside. Weather was clear, the road was dry, and it was daylight.
Texas man charged in fatal Tesla crash where he blamed Autopilot
Butler told authorities he had passed out at the wheel. But security camera footage obtained by the NTSB told a different story, and showed the car accelerating through an intersection before leaving the road entirely. Police also found that Butler’s phone had Google searches including the terms “Tesla FSD not aggressive enough 2026” and “Tesla FSD too timid,” raising serious questions about how he was using the system before the crash. Butler has since been charged with manslaughter. The victim’s family has filed a lawsuit against both Butler and Tesla, alleging negligence.
The NTSB findings aligned directly with what Tesla VP of AI Software Ashok Elluswamy had already stated publicly on X in the weeks after the crash, writing that “the driver manually overrode self-driving by pressing the accelerator all the way to 100%.” The data confirmed his account.
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Lucid CEO Silvio Napoli responded to rumors of an imminent bankruptcy that was reportedly being mulled after a report stated the automaker was working with the firm AlixPartners to iron out its next steps.
The company felt a massive loss on Wall Street yesterday, as the report essentially pushed the stock down as much as 55 percent on Tuesday.
The report, published initially by Eletric-Vehicles.com, claimed Lucid was essentially in dire straits and was told by AlixPartners, a commonly used restructuring advisor, to either take shares private or file for Chapter 11 bankruptcy protection.
Lucid’s head of Communications, Nick Twork, immediately challenged the report and stated the company “has sufficient liquidity to carry its operations well into next year.”
Now, the company’s CEO is chiming in as well, stating that the report is “so far from the facts that they require a direct response.”
Napoli said:
“Lucid is not considering bankruptcy or a transaction to take the company private. Those reports are false. The Board did not explore either scenario. Period.
As disclosed in our most recent quarterly filing, Lucid has sufficient liquidity to fund its operations well into next year.
We work with outside advisors to improve operational performance and execution. They are not advising Lucid on a take-private transaction or bankruptcy, and any suggestion that they have recommended either course of action to management or the Board is false.
My priority is clear: turn this company around. That is where the leadership team and I are focused.
I look forward to providing a full update during our quarterly earnings call on August 4th.”
🚨 Lucid CEO Silvio Napoli calls rumors of financial issues “so far from the facts that they require a direct response.”
Read his full remarks here: https://t.co/t3Pg1NHvzy pic.twitter.com/LvHUPhO4Qf
— TESLARATI (@Teslarati) July 15, 2026
It seems pretty clear that Lucid is confident things will be okay, and, to be honest, they should not have much to worry about, especially considering the company has been backed by the Saudi Public Investment Fund (PIF) for years. It has solid financial backing, and its sales, while weak, are pretty much right on par with a company of this age.
Lucid also sent a Cease & Desist letter to the publication for their report.
Lucid shares have rebounded nicely and are up nearly 21 percent at the time of publication. As soon as the company dispelled the rumors of bankruptcy yesterday, the stock began to climb back toward more reasonable levels.
Tesla has once again demonstrated strong customer focus by swiftly addressing and fully refunding a bizarre Supercharger pricing glitch that affected drivers in Atlantic Canada.
The issue surfaced earlier this month when the Tesla app began displaying dramatically inflated per-minute charging rates at stations in Prince Edward Island and parts of New Brunswick.
One widely shared screenshot from a Charlottetown, PEI Supercharger showed rates reaching ridiculous levels: $6.00 per minute for the 180-250 kW tier, along with $3.57/min for 100-180 kW and $2.29/min for 60-100 kW.
Correct pricing will be going live at midnight tonight. All fees since July 2nd 2026 will be waived.
— Tesla Charging (@TeslaCharging) July 13, 2026
These figures were several times higher than normal Supercharger pricing in the region.
To put the error in perspective, charging at the highest incorrect rate would have been shockingly expensive.
At 250 kW, a common charging speed at Superchargers, a vehicle pulls roughly 4.17 kWh per minute. Under the glitch, a driver spending just 10 minutes at peak power would face a $60 bill. A typical 20- to 30-minute session to add meaningful range could have cost $120 to $180 or more, before any congestion fees.
Tesla gets another layer of gamification with Free Supercharging on the line
By comparison, standard Canadian Supercharger rates usually fall between $0.25 and $0.60 per kWh, making a similar session cost roughly $15–$40. The erroneous per-minute structure, combined with the inflated numbers, turned what should be a convenient stop into a potential financial shock.
The glitch appears to have started sometime around early July, and quickly drew attention on social media as owners questioned whether Tesla had implemented steep hidden increases. Some drivers even reported seeing $0 charges in their history, indicating broader billing confusion.
Tesla’s official Charging account on X stated that correct pricing would roll out at midnight on July 13, so the fix is already in effect. More importantly, the company announced it would waive all fees for every Supercharger session since July 2. This blanket waiver covers the entire affected period without requiring users to file individual claims, with automated refunds expected soon. The decision affects stations in PEI and nearby areas in New Brunswick and Nova Scotia.
It’s a classy move, and rather than issuing partial credits or forcing owners to submit support tickets, Tesla simply absorbed the cost of the system error and made drivers whole. In an industry where hidden fees and bill disputes are common, Tesla’s proactive, no-questions-asked approach reinforces owner trust and highlights the company’s commitment to service excellence.
The incident, while disruptive for a short time, ultimately showcases Tesla’s ability to own mistakes and prioritize customer satisfaction. Atlantic Canada Tesla owners can now charge with confidence again, knowing the company has their back when technology glitches occur.
In an era of complex EV billing, such transparency and generosity are refreshing and set a positive example for the industry.
NTSB findings on fatal Tesla crash tell a very different story
Elon Musk’s Texas ranch to showcase the lifelong work that changed the world
