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
The Tesla Model 3’s cheapest trim level just got a major accolade, as Edmunds just revealed the Rear-Wheel-Drive trim of the all-electric sedan is the most efficient EV that is currently in production.
The 2026 Tesla Model 3 Rear-Wheel-Drive not only beat its EPA-estimated range by 30 miles, but it also bested its efficiency mark by 13.2 percent. The Model 3 tested by Edmunds traveled 393 miles, beating its EPA rating by 8.3 percent, while it returned 21.7 kWh per 100 miles, or 4.61 mi/kWh.
Beating those two metrics is especially pertinent when it comes to EV ownership and driving down the cost of ownership from ICE counterparts across the board. The real money savings come from driving down the cost of driving per mile, especially when it comes to high-mileage driving.
Edmunds stated in its report and review that the process it uses to test EV efficiency is aimed at giving “the most accurate representation of a car’s real-world range.” The assessment uses a strict route that features 60 percent city and 40 percent highway driving, and an average speed of 40 MPH across the trip.
It also drives each car within 5 MPH of all posted speed limits, and the climate control is set on Auto at 72 degrees to ensure even testing. In other words, Edmunds does not use methods to maximize efficiency, and instead tries to make it reasonable to achieve the same ratings yourself.
In comparison to other EVs, it beat the 2026 Mercedes-Benz CLA 350, which went 385 miles, as well as the 2026 Audi A6 Sportback E-tron Prestige AWD, which traveled 392 miles. Only the Mercedes-Benz CLA 250+ traveled farther, making it an impressive 434 miles on a charge.
However, the Tesla Model 3 RWD’s efficiency is “unmatched” because of its incredibly low energy usage per mile.
🚨 Tesla Model 3 RWD:
-At $36,990, it is $9,000 cheaper than the average transaction price for a new car ($46,023 via KBB)
-Was 13.2% more efficient than its EPA estimate
-Traveled 393 miles on a charge despite its 363-mile EPA range https://t.co/Grov2hXqpa pic.twitter.com/Zl8rnZZLIB
— TESLARATI (@Teslarati) June 8, 2026
The Model 3 Rear-Wheel-Drive might be the best bang-for-your-buck EV if you’re looking to buy new and want access to features like Full Self-Driving, while also being aware of efficiency. This trim of the Model 3 is also priced over $9,000 cheaper than what Kelley Blue Book says the average transactional price for a new car was in May 2026, which sits at $46,023.
If you’re looking for something with more speed, an All-Wheel-Drive drivetrain, or more premium features, the Premium trims of the Model 3 currently come with one year of Free Supercharging.
The Ontario Teachers’ Pension Plan (OTPP) stands to reap one of the most extraordinary returns in pension fund history thanks to a bold 2019 investment in SpaceX.
According to a recent report from The Globe and Mail, the Toronto-based fund invested roughly $300 million CAD (~$220 million USD at the time) in Elon Musk’s space company as its inaugural deal through the Teachers’ Innovation Platform.
At SpaceX’s anticipated $1.75 trillion IPO valuation, set for a mid-June debut on Nasdaq under ticker $SPCX, that stake could now be worth up to $11.6 billion USD. This would represent a roughly 50x return and easily become OTPP’s most successful single investment ever.
The fund manages $279 billion in assets for approximately 346,000 working and retired teachers in Ontario, potentially delivering an average boost of around $33,500 per member if fully realized.
SpaceX has filed its S-1 and plans to price shares at $135 each, aiming to raise a record $75 billion in what would be the largest IPO in history, surpassing Saudi Aramco. The company reported $18.67 billion in revenue for 2025, driven primarily by Starlink satellite internet growth and NASA contracts, though it continues to post significant losses tied to ambitious R&D in Starship and AI initiatives.
Important pieces moving forward include:
- Starlink Expansion: The satellite broadband service is scaling rapidly, targeting global connectivity, especially in underserved rural and remote areas. This segment offers massive recurring revenue potential as numbers climb.
- Starship and Reusability Leadership: SpaceX’s fully reusable Starship aims to slash launch costs dramatically, enabling frequent missions, Mars ambitions, and lucrative government/defense contracts. Success here could unlock exponential growth.
- AI and Diversification: Recent moves, including ties to xAI, position SpaceX in high-growth AI infrastructure, broadening beyond traditional aerospace.
- Validation Scrutiny: While the $1.75 trillion target excites investors, analysts like Morningstar value the company closer to $780 billion, citing high multiples (around 90x trailing revenue) and execution risks. A 180-day lockup period will prevent early investors like OTPP from selling immediately post-IPO.
The irony has not been lost on observers. Ontario’s government previously canceled a Starlink rural internet contract amid political tensions involving Musk, yet the pension fund’s savvy investment, made when SpaceX was valued around $33-36 billion, and Starlink was nascent, delivers outsized gains independent of politics.
For OTPP, this windfall strengthens its already solid 111 percent funding ratio and underscores the value of patient, innovation-focused capital allocation.
For SpaceX, the IPO marks a new chapter: greater transparency, access to public markets for talent retention and growth capital, and heightened pressure to deliver on its multi-planetary vision.
All eyes are fixed on whether SpaceX can justify its lofty valuation through sustained execution. For Ontario teachers, the returns are already stellar, but SpaceX, like other Musk companies in the past, has plenty of things to prove. Perhaps the most ideal person for the job is at the helm, hoping to bring the company to a massive valuation.
In a notable shift for electric vehicle perceptions, Tesla has emerged as a standout performer in the latest iSeeCars longevity study, which analyzed over 174 million used vehicles.
The data reveals that Tesla models have a 4.6 percent chance of reaching 250,000 miles, matching the industry average of 4.8 percent and tying for sixth place among 32 brands. This positions Tesla ahead of many established names, including Subaru (2.3 percent, roughly half of Tesla’s rate), Nissan (2.4 percent), Mazda, BMW, Mercedes-Benz, and Porsche.
Toyota leads with an impressive 17.8 percent likelihood, followed by Lexus (12.8 percent), Honda, and Acura. Yet Tesla’s result stands out for a relatively young EV brand. Experts attribute this to the inherent simplicity of electric powertrains: fewer moving parts mean no oil changes, timing belts, or complex engine components that typically fail in internal combustion vehicles.
Fewer things to maintain means fewer things to break, and ultimately, fewer things to go wrong.
A Tesla is twice as likely to reach 250,000 miles as a Subaru⁰⁰“No engine, no oil changes, no timing chains, no fuel injectors, and far fewer moving parts overall”⁰⁰https://t.co/k8iJwbzrrp
— Tesla North America (@tesla_na) June 8, 2026
This design advantage helps Teslas defy unfounded skepticism about battery longevity and overall durability, two things that have plagued the company from outsider perspectives without much proof.
The iSeeCars reliability ratings further bolster Tesla’s case. The Tesla Model S earns a strong 7.9/10 reliability score, ranking No. 1 out of 35 most reliable electric cars. It boasts a predicted average lifespan of about 154,419 miles (around 16.9 years) and a 21.9 percent chance of hitting 200,000 miles.
Tesla, as an electric car brand, also scores 7.9/10 overall, securing the top spot among electric vehicle manufacturers in several luxury and segment categories.
Real-world examples reinforce the data. High-mileage Teslas, including Model S vehicles exceeding one million miles, demonstrate that EVs can endure when properly maintained. Owners report minimal mechanical issues beyond typical wear items like tires and brakes, which regenerative braking often extends.
Tesla Model 3 hits quarter million miles with original battery and motor
This performance challenges narratives around EV reliability, especially amid mixed reports from other sources like Consumer Reports or regional inspections. iSeeCars‘ massive dataset emphasizes long-term durability over short-term defect rates, painting Tesla as a leader in sustainable, high-mileage ownership.
For buyers prioritizing longevity and low maintenance, Tesla’s results signal strong value. While no brand is flawless, factors like driving habits, climate, and software updates matter—the numbers suggest Tesla belongs among the elite for those seeking vehicles built to last.
As EV adoption grows, this iSeeCars data underscores Tesla’s engineering edge in creating enduring, future-proof automobiles.
Tesla Model 3’s cheapest trim just got a major accolade
SpaceX IPO set to provide massive $11.6B windfall for teacher pension plan
