News
Full autonomy will arrive sooner than expected, says Tesla CEO
During the Tesla Motors earnings call on Wednesday, Elon Musk told analysts and investors, “Full autonomy is going to come a hell of a lot faster than anyone thinks it will. And I think what we’ve got under development is going to blow people’s minds. Blows my mind.”
Full autonomy will reduce fatalities
He bemoaned the amount of attention being paid to the first fatality while using Autopilot. Even though there are more than 32,000 highway deaths a year in America — a number that has gone up recently as cheap gasoline has led to an increase in the number of miles driven — the media, regulators, and even Congress have been talking non-stop about the death of Joshua Brown on May 7.
“Tesla can’t sneeze without there being a national headline,” Musk said. He promised that work on full autonomous driving would continue with the intention of making it available as soon as possible. It will make the Tesla Minibus possible, an idea that was contained in Musk’s Master Plan Part Deux when it was revealed last month.
Tesla to make own inverter
Even though the Tesla/SolarCity merger is not yet a done deal, Musk is behaving as if it is inevitable. A critical piece of any solar power system is the inverter. It converts the direct current supplied by solar panels into the alternating current used by homes and businesses. It is essential to the Tesla Powerwall residential storage battery system.
“There’s no question Tesla’s going to do an integrated inverter. It’s the logical thing to do,” said Musk during the conference call. “Most people don’t even know what an inverter is.”
Until this point, Tesla has been using inverters supplied by third parties, but Musk has a preference for bringing as many components of his products in-house, where design and supplies can be tightly controlled.
Climbing out of “factory hell”
Musk told analysts on Wednesday that Tesla “just managed to climb out of hell” in June but now the “production line is humming.” The company reported weekly production stood at 2,000 cars by the end of the quarter. Musk expects that number to increase to 2,200 cars a week in Q3 and rise higher still to 2,400 cars a week by the end of the year.
Burned by persistent delays from suppliers for the Model X, he sent a warning to suppliers involved with the production of the Model 3, saying “suppliers who fall short will be cut out of the picture.”
EPS disappoint
Tesla reported a lost of $1.06 per share for Q2, which was considerably more than most analysts expected. The stock was down immediately after the earnings call but quickly rebounded in after hours trading. The stock reaction is “another lesson that Tesla’s stock doesn’t trade over earnings per share,” said analyst Ben Kallo of Robert W. Baird & Co. “Automotive gross margin improved, and the commentary about demand helps with the stock as well.”
As much as Elon dislikes the attention being paid to Tesla because of the death of Joshua Brown, his company gets more press attention than all other car makers combined — a critical part of Tesla’s plan to market its cars without the benefit of traditional advertising.
That flood of news about Tesla, which focuses mostly on the consistently buoyant projections from Musk himself, is what keeps the company’s stock price high. People aren’t buying today’s performance. They are buying the future. If you believe everything Elon Musk is saying, that future looks very bright indeed.
Source: Bloomberg, Photo credit: Electric Jen
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.