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Musk defends SolarCity merger: $500M cash to Tesla, strength of $1B raised
Tesla presented more financial information related to its pending acquisition of SolarCity to investors late Tuesday after the closing bell. Details were revealed through a comprehensive blog post published on the company’s site. Here are some of the the important points covered.
- SolarCity is expected to add more than a $500 million in cash to Tesla’s balance sheet over the next 3 years.
- SolarCity has transitioned to a cash or purchase finance model instead of a leasing model. This allows the company to bring more money in the door upfront rather than waiting for lease payments to come in over 20 years.
- SolarCity has arranged for nearly $1 billion in financing for its business in 2016 alone.
- Solar City currently does business in less than half of all states. Tesla is a global company with a much greater marketing territory.
- Combining the companies will create efficiencies that create cost savings of nearly $150 million a year.
During the question and answer session with analysts Tuesday afternoon, Elon has several interesting things to say. He prodded the doubters by saying that those who have been predicting a bad outcome for Tesla Motors have been wrong 100% of the time so far. He said their “batting average is zero” and asked why anyone would pay attention to people with such a dismal track record.
Referring to the fact that SolarCity already has a customer base of 300,000 installed solar systems, Musk asked people to consider the significant upsell opportunities that base represents. He joked that what people often see as counterintuitive turns out to be perfectly logical once they fully understand the concept. How is it possible that the same people can be against something one moment and then claim it to be the obvious solution the next, he mused?
For instance, he pointed out that there are more than 150 million roofs in the North American market alone. That means there is an enormous business opportunity for the solar roof products unveiled last week. Musk seemed baffled that more people don’t grasp the size of the market and the profit potential it offers.
Talking further about the solar roof, Elon downplayed its cost, saying the glass for the solar tiles cost next to nothing to manufacture. “Glass is basically sand,” he said. Even the micro-louvers that give the tiles their distinctive appearance when viewed from below are made of plastic. Very tough plastic, to be sure, but only slightly more expensive than glass.
To him, it seems obvious that people will clamor for the solar roof product. Others have tried to make a solar roof before, but Elon asked coyly if anyone had ever seen one that was attractive. He said none of them were appealing enough to go on his own house and wondered aloud why no one had come with a solar roof product before that is as attractive as the Tesla offering.
Finally, Musk was asked, if the SolarCity merger was not approved, would Tesla offer solar products from other companies in its stores? He scoffed at the idea. Would Apple offer cell phones from Samsung and other manufacturers in its stores? He seemed to think the idea was preposterous.
Elon is clearly committed to the merger with SolarCity. He even considers it pretty much a no brainer. Despite that, Tesla stock has dropped considerably this week after a temporary pop in the stock following the solar roof reveal. The company stock is trading -1.31% after hours following today’s announcement.
If you’re considering solar for your home or business, we encourage you to get a solar cost estimate first, based on your monthly utility bill and location. The service is being provided by an affiliate partner and fan to Teslarati.
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.”
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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
