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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.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
