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Tesla Full Self-Driving could soon be allowed in Germany, gov approves legislation aimed at autonomous driving
The national Parliament of the Federal Republic of Germany decided on Thursday to change an existing traffic law that had prohibited vehicles from being engaged in autonomous mode. Drawing on votes from both the Social Democratic Party (SPD) and the Christian Democratic Union (CSU), the Bundestag has agreed to allow fully autonomous driving vehicles to travel on Germany’s streets. The (translated) law reads, in part,
“During vehicle driving, the driver may turn away from traffic and vehicle control by means of highly automated or fully automated driving function… [but must] immediately [assume control] if he recognizes that the conditions for the intended use of the highly or fully automated driving functions no longer exist… even if he does not control the vehicle in the context of the intended use of this function.”
The law provides a balance between driver responsibility in the event of traffic incident and the ability of the the driver to release control of the vehicle to a control system, depending on situation and duration. The driver must retain the capacity to reassume control as well as to deactivate the control system. All vehicles with autonomous driving systems would have a “black box” data storage system, which would assist in determining fault in the event of an accident.
The new German law supersedes the 1968 “Vienna Convention on Road Traffic,” which specified that human drivers must have full control over their vehicle at any time. Of course, at that time of that law’s implementation, autonomous vehicles had not yet been introduced.
Tensions were high immediately preceding the vote, according to Germany’s golem.de newspaper, which described the level of autonomy to be permitted as “highly automated and fully automatic vehicles.” SPD deputy Kirsten Lühmann accusing the body of assigning drivers the roles of “experimental rabbits for new technology.” Stephan Kühn, the Green party deputy, also disagreed with the extent of the law. “It is not enough just to formulate in the justification of the legal text what the driver is allowed to do without worry while the computer is driving the car. This must be re-written into the law itself.”
The SPD defended the amendments as sound and timely.
German Federal Minister of Transport Alexander Dobrindt (CSU) had offered draft legislation for the new law in February, but it received violent criticism and underwent significant revision, particularly around data protection regulations. At the beginning of this week’s debate, he envisioned Germany as having “the most modern road traffic law in the world.” Dobrindt has rationalized the law as providing value added software innovation that could be homegrown in Germany and Europe. With the new systems, he said, will come increased traffic safety, fewer traffic jams, and reduced environmental pollution [emphasis added].
Germany is a forerunner for European autonomous driving, with some sections of public highways already designated as live testing zones. The Institute for the German Economy calculates that Germany has registered 58% of all global patents in autonomous driving since 2010.
The approved revision states that the owner of the car is still liable for actions taken while under autonomous mode, as prescribed by section 7 of the Road Traffic Act (Hazard Liability). Specific German autonomous driving regulations have not yet been established; those will come alongside international regulations and definitions and will likely change, too, as technological development in autonomous driving continues to progress. Like so many in the auto industry today, German engineers, scientists, and regulators are in a race to figure out the details of how autonomous cars will function so that they can be market ready by the early 2020’s.
Of course, Elon Musk, Tesla’s CEO, has stated that his company’s electric vehicles will have autonomous capability by the second half of 2017. The Society of Automotive Engineers has identified different levels of autonomy, ranging from 0 to Level 5, with Level 5 signifying that a vehicle can drive itself at all times under all conditions and need no input from a human. Level 4 autonomy refers to a vehicle that can be autonomous almost all the time, within determined parameters, as seems to be outlined by the Bundestag.
Interestingly, according to Musk’s statements, Teslas may soon be able to approach Level 4. That would make Tesla R&D far ahead of any German innovation currently underway.
With a bicameral parliament, Germany has two chambers: the Bundestag (lower house) and the Bundesrat (Federal Council or upper house). Both chambers can initiate legislation, and most bills must be approved by both chambers, as well as the executive branch, before becoming law. Now that the autonomous driving legislation has been approved by the Bundestag, it will go before the Federal Council. Coalition forces feel confident that this week’s modifications to Dobrindt’s original draft proposal are sufficient to pass through the Bundestrat.
Bitkom CEO Bernhard Rohleder was excited about the law, saying, “The Bundestag has cleared the way for the Automnation Deutschland to be the world leader in autonomous driving.” He acknowledged that changes will occur around liability rules or the use of data. “But we must not make the mistake of trying to settle everything down to the end in a long-term debate, then other countries will create facts and we will have the opportunity to use this technology.”
The first production vehicles equipped with autonomous driving features will be introduced to Germany sometime in 2017. “We can also be innovative in the legal framework and do not need to hide from the Silicon Valley ,” said Ulrich Lange (CSU), a CSU member, argued during the final moments of debate.
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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
