The Tesla Model 3 and the Polestar 2 were recently pitted against each other by motoring outlet Top Gear. During the magazine’s review, the two vehicles were compared according to their efficiency, performance, and overall long trip capability, to name a new. As it turns out, it appears that the Polestar 2 is both the Model 3’s current biggest rival and strongest ally.
The Model 3 and the Polestar 2 are comparatively priced, with both vehicles commanding a price of about £600 per month in the UK. The two vehicles are also comparable when it comes to their batteries, with the Model 3 sporting a 75 kWh pack and the Polestar 2 being equipped with a 78 kWh unit. Consumption favors the Tesla during a 500-mile drive, however, as the Model 3 consumed 28.4 kW per 100 miles as opposed to the Polestar 2’s 35.7 kW per 100 miles. Part of this is due to the Polestar 2’s weight, which is about 595 lbs heavier than the Model 3.
That being said, when it comes to raw performance, the Model 3 proved to be far zippier than the Polestar 2, with the Tesla hitting 60 mph in 3.2 seconds and the Polestar 2 taking 4.4 seconds to hit highway speed. Top Gear then mentioned something quite interesting. During their test, they opted to put the Model 3 on Chill Mode for the most part while they were operating the vehicle. But even with Chill Mode, the Model 3 still made the Polestar 2 work hard to keep pace.

“This Tesla is the 450bhp Performance, and it pulled an easy ten lengths on the Polestar off every roundabout or away from each village, but we found ourselves driving it in power-reducing Chill mode most of the time, simply to escape the sudden, neck-straining step-off every time we gently pulled away. It’s very eager. Even in reverse, which is a bit disconcerting. Chill mode smoothed the throttle nicely and still made the Polestar work hard to keep pace,” the publication noted.
One thing that stands out is the fact that unlike the Model 3, which was built as an all-electric vehicle, the Polestar 2 is actually built on Volvo’s CMA architecture, which also underpins the popular XC40. The Polestar 2 is also made with steel panels, which are heavier than the aluminum that’s used in some parts of the Model 3. But despite this, the motoring publication noted that the Polestar, like the Tesla, does not feel heavy on the road at all, thanks to its low center of gravity.
Top Gear did state that there are some areas where the Model 3 falls beneath the Polestar 2. One of these is the vehicles’ interior quality, which is an area where Polestar excels in. Another concerns the two vehicles’ driving dynamics. The publication noted that the softer sprung Tesla gets a bit jiggled from side to side and it does not have impressive body control. The Model 3’s steering was also described as “pretty nasty,” as it has an initial resistance that fades as the driver turns.

The publication noted that the Model 3’s steering could not be described as “sporty or involving,” just effective. On the other hand, the Polestar 2’s steering and controls were described as reassuring in the way that they are “meatier and more satisfying.” But despite these drawbacks, the Model 3 still rides more comfortably compared to the Polestar 2.
The two vehicles also compare very well when it comes to their tech, as the Polestar 2’s Google-powered software experience stands pretty well against Tesla’s custom OS for the Model 3. Both vehicles have robust driver-assist features as well, though Top Gear noted that both Tesla and Volvo’s autonomous efforts still have large areas for improvement. This is especially true for Tesla, which sells a Full Self-Driving suite for the Model 3. Both cars are capable of long-distance travel, thanks to the Supercharger Network and Polestar’s partnership with Plugsurfing. But between the two, the Model 3 provides a faster, easier charging experience.
Ultimately, the Polestar 2 is a stellar effort on Volvo’s part. It’s attractive, well-built, and it carries the best of Volvo’s tech and features in an all-electric package. That being said, Top Gear concluded that ultimately, the Model 3 would likely still be the vehicle to choose if one were looking for an electric car, simply because it provides a more complete ecosystem of ownership.
“The Polestar experience is still very Volvo – and there’s nothing wrong with that. No Volvo drives as well as this, nor oozes more Scandi calmness and cool. It’s pure hygge. I know this is less than analytical but I love what it stands for, what it looks like, it’s the one I’d rather be seen driving and yet… the Tesla wins. Given a straight choice between the two, that’s the one I’d drive away. Nothing to do with its speed or autonomy – the two things usually championed by the Teslarati – but because of its ease of use, efficiency, the supercharger network. It’s the more complete mode of transport,” the magazine noted.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.