News
Tesla Stock Soars 16+% in 1 Day
Tesla’s Model S sedan is red hot.
By Silicon Valley standards, 10-year-old Tesla Motors is middle-aged. But in the world of automotive startups, it’s just crossed a threshold few fledgling companies ever get near: profitability. Late last night California time — in time to make it clear this was no April Fools joke — the company announced it has delivered 4750 cars in the first quarter and expected to report an accounting profit when it announces its official results next month. While the company’s vehicles lack engines, in the past 6 months, it’s begun to hit on all cylinders:
- Shipments of the Model S sedan begin late last year with 2400 delivered in the fourth quarter. The company nearly doubled that in the next 3 months.
- Tesla launched its high-speed “Supercharger” charging stations, which allow recharging half the battery pack in about 30 minutes. Last week, it announced plans to expand the network in the Pacific northwest, Texas, Illinois, and Florida, while improving coverage in the initial regions in the northeast and California.
- The company announced a plan to pay back its Department of Energy loan 5 years ahead of schedule, by the end of 2017. This $465 million loan, part of the Advanced Technology Vehicle Manufacturing Program, was essential to the launch of the Model S and came at a time when Tesla’s future was very much in doubt.
Today, though, that future looks bright enough that the naysayers holding more than 30 million shares short may be wishing they were betting against something else. CEO Elon Musk mentioned on Twitter last week that he had a big announcement to make regarding Tesla (due tomorrow) and clarified last night that this isn’t it: “Also, some may differ, but imo the Tues news is arguably more important,” he wrote. Depending on the nature of that, I may be back with another post.
There was some more interesting news in yesterday’s press release on profitability. The company canceled an option to buy the Model S with the smallest battery, a version that retailed for just around $52,000 after the federal tax credit. Why? Lack of demand. It seems only 4% of buyers were opting for that smallest configuration. They’ll still get it, but instead of producing a battery that small, Tesla will sell them a car with the mid-sized battery and disable part of the capacity in software. If owners — present or future — wish to upgrade to the larger capacity, Tesla will allow them to purchase some software magic to make it happen. The mid-sized battery offers a range of just over 200 miles per the EPA and the smallest battery has about 2/3 the capacity. Given there was a $10,000 gap between the two, it’s noteworthy that people were rejecting the smallest battery so clearly.
This points out the radically different approach Tesla is taking versus Nissan with the Leaf and really everyone else building electric vehicles right now. The two sizes of Tesla people are choosing are 200+ mile vehicle while the other brands are sold as 70-80 mile commuter vehicles. Apparently, a “tweener” that gets around 140 miles wasn’t something Tesla customers wanted and might not be appealing to much of anyone as it doesn’t really address the “go almost anywhere” problem Tesla is solving and doesn’t really do much for commuters. (More than 80% of commutes in the U.S. can be made roundtrip in a Leaf.)
In addition to eliminating the small battery, Tesla also decided to build access to the Supercharger network in every car. It was already standard with the largest battery and is still an option with the smaller one, but now you can decide to add the option after purchase because — again — it’s a software change. The Superchargers are free “fill-ups” along highway corridors, but those with the smaller battery will pay $2000 for the privilege. This software-upgradeable car might not be as much of a milestone as a 200+ mile EV is, but it has already become a hallmark of the way Tesla works and really shows how Silicon Valley DNA can be an important part of this 21st century automaker.
When the company announced its earnings last quarter, the news actually disappointed investors. On some level, that was odd because the quarter inherently represented a transition where production was ramping up and it would be hard to really get a sense of what the business looked like on a steady-state basis. This quarter, however, is going to provide a very real snapshot into Tesla as a business. Through the rest of 2013 and well into next year, the company is likely to look as it does this quarter, with small improvements in unit shipments and gross margin over each quarter until the company begins delivering its Model X crossover late in 2014. None of that is likely exciting to watch, but it is likely to be material financially.
If deliveries do creep into the range of 6000-7000 per quarter — which is expected — and the company hits its gross margin goal of 25% by year end, this quarter’s profit is going to be pretty small compared to the ones set to come. It’s this kind of steady profitable growth upon which you build a company that will be around for a long time to come. And with the focus on larger batteries and more Superchargers, Tesla seems to be saying its cars are going to run long and far as well.
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
