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Tesla Q2 Shareholder Conference Call Is Downbeat
The Tesla Q2 shareholder conference call on August 5 revealed a smaller than expected loss per share but with risk that the company may miss its delivery forecast of 55,000 units for the year. Tesla reported 11,532 Model S sedans delivered in the 2nd quarter and expects the same amount to be delivered in Q3, thus trimming its guidance from “50,000 to 55,000” units for the year.
Speaking to Business Insider, Matt Argersinger of Motley Fool writes, “It looks like Model X production and supply issues are hindering production confidence for the remainder of the year. They’re expecting the same number of deliveries in Q3 as in Q2, which means they’ll need almost 17,000 deliveries in Q4 just to hit the low end of the range. That’s going to be a tall order, especially if they run into unexpected production issues.”
Model X
One of the biggest questions surrounding the company is when deliveries of the Model X SUV will begin. Officially, the company says it will deliver a “small” number of Model X cars in the 3rd quarter.
The company suggests that some delays getting parts from outside suppliers have slowed down the building of the final validation versions of the Model X. CEO Elon Musk did admit the roll out of the Model X will be “challenging”.
In its Q2 shareholder letter, Tesla states:
“While our equipment installation and final testing of Model X is going well, there are many dependencies that could influence our Q4 production and deliveries. We are still testing the ability of many suppliers to deliver high quality production parts in quantities sufficient to meet our planned production ramp. Since production ramps rapidly late in Q4, a one-week push out of this ramp due to an issue at even a single supplier could reduce Model X production by approximately 800 units for the quarter. Furthermore, since Model S and Model X are produced on the same general assembly line, Model X production challenges could slow Model S production. Simply put, in a choice between a great product or hitting quarterly numbers, we will take the former. To build longterm value, our first priority always has been, and still is, to deliver great cars.”
Looking Ahead
In 2016, Tesla will have the capacity to build approximately 1,000 Model S and 1,000 Model X cars per week. That mix may vary somewhat as the needs of the marketplace dictate. Initially, more Model X units may be produced than Model S, simply because of pent up demand for the SUV. Musk was at pains to explain that actual production is often somewhat less than full capacity.
Musk did not give a precise date for when the next firmware update, which will enable the Auto-Steer and Self-Park systems, will take place. He would only say that it should happen in the next few months.
Tesla Energy
Tesla is expecting to ramp up its production of its PowerWall and PowerPack products in the 4th quarter. The company has approximately a billion dollars worth of orders pending for the PowerWall and expects that business to grow to a few billion dollars per year by 2017.
When asked what proportion of the energy storage business would be for retail customers, the company indicated that its retail business may be higher than expected and perhaps reach as much as 70% of all orders. The company went on to say that utility scale energy storage could eventually make it possible to shut down half of the world’s electricity generating facilities.
Tesla stock was down by as much as 8% in after hours trading.
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
