News
Tesla Australia quits FCAI over claims that group is misleading consumers
Tesla Australia has announced its intentions to quit the Federal Chamber of Automotive Industries (FCAI), the principal organization representing car companies in the country, over claims that the group was misleading consumers. Tesla is an active member of FCAI and is represented on its board, but as per a letter to the group, the EV maker noted that it would cease to become a member at the end of the 23/24 financial year.
In a letter to the FCAI, Tesla cited concerns about “false and misleading” claims that were made by the lobby group. The letter elaborated on Tesla’s belief that the FCAI had misled consumers about potential price increases associated with the New Vehicle Efficiency Scheme (NVES).
“Over the past three weeks, Tesla considers that the FCAI has repeatedly made claims that are demonstrably false. Tesla is concerned that the FCAI has engaged in behaviors that are likely to mislead or deceive Australian consumers. Tesla is also concerned that it is inappropriate for the FCAI to foreshadow or coordinate whether and how competitor brands implement price changes in response to environmental regulations such as the NVES,” Tesla wrote in its letter.
Necessary but regrettable decision. Thank you @samuelmclean for sticking to the Tesla mission.— Rohan Patel (@rohanspatel) March 7, 2024
The FCAI has claimed that the NVES could lead to price hikes for some models, a sentiment that has been reflected in media reports. At the same time, graphics from media reports claimed that popular electric cars like the Tesla Model Y crossover and Tesla Model 3 sedan would see adjusted prices. Tesla noted in its letter that this was simply untrue.
Apart from its criticism regarding the FCAI’s alleged false claims on vehicle prices, Tesla also noted that the group had been cherry-picking data to paint a narrative and that it was misrepresenting how standards work. Overall, Tesla noted that it is uncomfortable with the FCAI’s recent initiatives and thus will depart from the group.
“As an industry association, the FCAI should be careful to not facilitate coordination among competitor companies about how they change prices or supply in response to regulations. Any impacts of NVES on vehicle prices – both up and down – are subject to complex competition and trade between competitors in both the vehicle market and the regulatory credit market.
“Companies have several options in responding to the NVES, including adjusting product mix, adjusting volume, carrying debits and credits over several years, and negotiating trade of regulatory credits. When the FCAI makes blanket claims about how its members will change product prices, it risks facilitating or creating the impression of anti-competitive behavior. It is up to individual companies to set prices, and it is inappropriate for the FCAI to tell companies in private meetings or public commentary what any price changes will or should be or to suggest that these price changes are fixed and uniform,” Tesla wrote.
Tesla’s letter to the FCAI can be viewed below.
Tesla to FCAI 7 March by Simon Alvarez on Scribd
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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.