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Tesla Full Self-Driving could soon be allowed in Germany, gov approves legislation aimed at autonomous driving

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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.

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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.

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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.

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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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Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.

CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.

Musk said:

“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”

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Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”

He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”

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Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.

The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.

Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”

Tesla alleged “driverless” crash in Texas: What is known so far

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“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.

This appears to be a similar situation. However, an investigation will prove what happened for sure.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.

The company announced an offering of senior unsecured notes expected to raise at least $20 billion.

The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.

According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.

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The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.

SpaceX officially acquires xAI, merging rockets with AI expertise

In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.

The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.

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SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.

Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.

Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.

CNBC first reported the deal.

This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.

SpaceX has previously signed significant compute deals with other major players.

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It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.

Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.

SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.

SpaceX makes first acquisition post-IPO

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These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.

Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.

The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.

For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.

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