Tesla says an Australian automotive industry lobby group is attempting to delay climate action by making false claims about the government’s clean car policy.
The EV maker reportedly said that the Federal Chamber of Automotive Industries (FCAI), the main auto industry lobby group in Australia, is actually attempting to increase emissions by 2030, instead of reducing them, by using a variety of falsehoods to mislead the public.
Tesla is a part of the FCAI, holding a board seat, and is an active lobby group member.
However, a report from The Guardian states that Tesla is claiming the FCAI is running a “concerted public campaign” against the government’s clean car policy by aligning with automakers who want to delay action on the climate crisis.
The FCAI has several members that have ambitious climate goals, including Ford, Volvo, Mercedes-Benz, and Jaguar Land Rover. Each of these companies have stated they will eliminate ICE production and sales in 2035.
Tesla said in a submission to the government that the FCAI’s job was to represent the views of its members, but instead, it accused the group of only aligning with those who wished to delay action against the climate crisis.
The report states that Tesla also openly discussed within the FCAI that the lobby group would not cut emissions prior to 2030.
The company also said the FCAI planned to increase vehicle emissions by 25 percent between 2024 and 2030. Before writing the submission, Tesla said the calculation was mentioned to the FCAI and asked if it had “missed anything.” The FCAI said that Tesla did not mention the review process.
According to the report, Tesla interpreted this as the FCAI was ready to allow emissions to increase by 2030. However, details could be changed down the road.
“The FCAI knew that its targets would actually allow carmakers to increase emissions because of enormous loopholes that create hundreds of thousands of electric vehicles that only exist on paper,” Tesla said in the submission, which was seen by The Guardian.
“Tesla is both a member of the FCAI and represented on its board, so it’s important that Tesla makes clear its disagreement with the submission made by the FCAI to this review, and with false claims it has made in the public discussion of vehicle standards,” the company also wrote.
The FCAI said in response to Tesla’s submission that wants to continue supporting automakers and their goals to reduce carbon emissions from vehicles.
Tesla’s submission also included several claims that the FCAI made false statements that dealt with pricing of its vehicles and had used misleading emissions figures with vehicles.
Tesla claims the FCAI said the company would reduce prices of “two popular EV models,” likely the Model 3 and Model Y, by $15,000. Tesla called this “a nonsensical claim.”
Additionally, it said it based emissions calculations that it gave various media outlets on the most polluting type of the country’s most popular vehicles:
“For example, when looking at the Ford Ranger it chose only its most polluting variant, the Raptor, which emits 262 grams of CO2 per kilometre. But the government’s Green Vehicle Guide last year listed 42 variants of Ranger, including 20 that emitted less than 200g/km.”
Tesla also said the FCAI misrepresented how a new efficiency standard would work, stating that differences in the emissions limit and how much a vehicle actually omitted would result in a raised sticker price. Instead, the penalties would not apply to cars on an individual basis. They would apply to the companies who make the cars.
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
