The European Commission was able to reach a new compromise with member states that would maintain its 2035 new ICE vehicle ban, while introducing some new changes to its Fit for 55 plan.
After documents obtained by Reuters last week indicated that five EU member states would oppose the 2035 new ICE vehicle ban, many were worried that the proposal would stall in the Commission. However, with Italy moving to drop a request to postpone the ban by five years, the plan stands, though significant changes were implemented in order to appease both sides of the debate.
According to Automotive News Europe’s contact with European leaders, there will be many caveats introduced to the new proposal that will head to negotiations between the European Commission and the EU Parliament:
- First and most prominently, the 2035 new ICE vehicle ban will remain. However, smaller manufacturers will receive an undisclosed extension to stop selling ICE vehicles.
- Germany’s proposal of allowing new ICE vehicles that burn carbon-neutral fuels past 2035 will be included in the new proposal.
- The governments also agreed that the “European Emissions Trading System” will remain in place and will continue to pursue ever-lower carbon emissions (this is the system that allows the sale and trade of carbon credits/permits). However, the carbon credit market that will regulate the emission of heating and road transport fuel will be delayed for an unknown amount of time. A “Climate Fund” will also be established to help households pay for this new carbon credit program.
- The carbon market will be reformed with multiple changes. Most notably, the allowable carbon emissions will be reduced by 61%.
- In order to limit future carbon credit price variability, a mechanism will be put in place that would release 75 million new carbon credits into the market if the average sale price of credits goes higher than 2.5 times the average of the price from two preceding years. Lawmakers also hope this will limit market speculation.
- The Commission also decided to cut the “Social Climate Fund” from 72 billion euros to 59 billion euros. This fund is dedicated to helping households afford many carbon-reducing products, including new efficient heating and cooling systems, personal renewable energy systems, reduced emission mobility products (including electric vehicles), and more.
Overall, representatives seemed happy with the changes made. Many who opposed the postponement of the new ICE vehicle ban celebrated that it was kept in the proposal, while those who initially proposed the postponement noted that the extension given to smaller manufacturers was necessary.
Many from both sides, as well as manufacturing groups, maintained that the development of infrastructure is still very much needed and that Europe must dedicate itself to becoming more resource independent in terms of materials used in electric vehicles and other carbon-reducing technologies.
Many auto manufacturers have already backed the 2035 new ICE vehicle ban, including VW, Mercedes, Ford, and Volvo. However, some have raised more concerns than others. BMW CEO Oliver Zipse said in a statement to Automotive News Europe:
“To be very clear: the automobile industry will fully contribute to the goal of a carbon-neutral Europe in 2050, but the decision of the Council raises significant questions which have not yet been answered, such as how Europe will ensure strategic access to the key raw materials for e-mobility.”
With negotiations on the Fit for 55 EU carbon neutrality plan going to negotiation soon, it will be interesting what the final form of this legislation will look like. Still, these changes mark a significant step towards achieving compromise, and ultimately, carbon neutrality.
What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
