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Tesla gives Fiat a wake up call: ‘fake’ electric cars can still manipulate EU emissions standards
New CO2 regulations set to take effect in Europe have several loopholes in place that could derail the goal of reducing new car emissions by 37.5% in the region by 2030, according to a study published by advocacy group Transport & Environment. In a worst-case modeling scenario, gaming of the rules could also result in almost two million fewer zero or low emissions vehicles coming to market between 2025 and 2030, and of those in the market, half might be plug-in hybrids built for compliance, not innovation.
In order to propel the creation of a battery electric auto industry in the region, European Union members and parties participating in the discussions over the new CO2 regulations included incentives in the agreement that were tied to specific vehicle sales. Auto manufacturers with 15% of their sales coming from zero and low emission vehicles by 2025 and 35% from 2030 onwards will have their CO2 targets reduced by a maximum of 5%. This effectively means a company’s new fleet-wide CO2 output would only need to be reduced to 34.4% by 2030 instead of 37.5%, as calculated in the study.
Companies have further been allowed to pool their fleets together to help reach these goals, something which Tesla has recently taken advantage of by partnering with Fiat Chrysler. As a manufacturer of zero-emission vehicles, counting Tesla’s fleet with Fiat’s lowers the average per-vehicle CO2 output, thus lessening the burden for Fiat to meet the emissions standards while Tesla profits from the deal.
On its face, the 5% trade-off for lower emissions standards would be the entry of new, more innovative clean energy vehicles on the market; however, the inclusion of plug-in hybrids in that calculation could be problematic and used to game the system. In order to qualify as a low emissions vehicle, a hybrid car only needs to be under a threshold of 50 g/km CO2 output during testing which assumes full use of the vehicle’s battery. Because most of these plug-in hybrids have very low battery ranges, they’re often not used in practice in favor of the internal combustion engine, thus increasing their real-world CO2 output to around 120 g/km.
The technology behind plug-in hybrids is less innovative and therefore cheaper to produce, so the financial appeal of producing more of these types of vehicles over battery-only electric vehicles is high. The Transport & Environment study estimates that this effect will lead to about 2 million fewer all-electric cars being produced in favor of the cheaper, ‘fake’ electric compliance hybrids.
Other loopholes in the EU regulations also contribute to a reduction in CO2 outcomes. Fourteen countries where non-existent or nascent low emissions vehicle markets were identified will receive nearly double the emissions credit for eco-friendly cars sold to encourage development in the regions.
Simply, a large manufacturer could register thousands of vehicles in one of these markets, acquire double credit for each vehicle, and then quickly sell the vehicles in an established market where demand is higher. When sold, the cars would technically be “used” for record keeping purposes, but new to consumers and presented that way. This would circumvent the point of developing a low emissions market in those countries, further limiting the expansion of low emissions car availability.
The EU member states where double credits apply are Ireland, Greece, Poland, Slovenia, Croatia, the Czech Republic, Slovakia, Bulgaria, Romania, Estonia, Latvia, Lithuania, Cyprus, and Malta.
The final (possible) loophole identified in the Transport & Environment study lies with the inclusion of Norway in the EU regional calculations. The country has not yet formally been included in the 2025/30 standards but is part of the 2020/1 standards currently in effect and will likely be included in the upcoming rules.
Norway is requiring 100% of its vehicles to have zero emissions by 2025, thus guaranteeing sales of those types of cars in a market where ICE vehicles are not competitive. Automakers could concentrate their sales in that region and make less effort to sell in the rest of Europe, all while still remaining compliant with the regulations. Reaching compliance in this manner is another way the intent of the coming CO2 reduction requirements can be manipulated.
The authors of the Transport & Environment study have laid out their proposals to overcome these loopholes, but considering that they were included to win the support of the auto industry in the region, further changes to the regulations seem unlikely. Also, the study could be taking an overly pessimistic view of the possible outcomes the loopholes could lead to.
Consumer markets, even without significant CO2-related regulation, are already showing trends towards increasing low emission vehicle demands, especially for battery electric vehicles like those sold by Tesla. This “Tesla Effect” has been noted by the upper echelons of legacy auto and several have committed to billions in electric fleet investments. Porsche is unveiling its first production electric vehicle, the Taycan, this September and has plans to retire its diesel-powered lineup and embrace electrification. Ford has also recently committed to electrifying its F-series, most notably the classic F-150, as well as invest $11 billion dollars to produce 40 electrified vehicles by 2022.
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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.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
