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Tesla Top 5 Week in Review: TSLA surge, 0-60 mph 2.05 sec, neural nets, and more
Tesla has been in the news a lot this week, as usual, but the biggest headlines surrounded its unexpectedly strong stock market performance. Another event that made the Tesla crowd happy was the release of a new over-the-air software update which removed a power limiting safety feature. In a related story, a team of creative folks reverse engineered the maximum theoretical acceleration of a car; if you didn’t read this story, you’ll be amazed what they found out. Tesla CEO Elon Musk was a featured speaker in the UAE at the World Summit, which coincided with Tesla’s entrance into that market. And Musk also offered some fascinating insights about artificial intelligence and what the future might look like if humans don’t stay current with AI’s potential. Here are those stories.
Tesla (TSLA) shares surge across 52-week high as Model 3 production takes stage
Over a six month period, Tesla shares rose by nearly 25% and traded this week above $280. This is within grasp of the company’s all-time high, with a market cap that has grown by $10 billion. Investors have begun to give more weight to Tesla’s highly anticipated Model 3, which is slated to begin production on February 20. Development and planned timeline launch for the Model 3 look good and are critical to Tesla’s continued success moving forward. If all goes as hoped, the vehicle will help take the company from producing about 100,000 cars annually today to 500,000 annually in 2018.
Tesla removes performance restrictions in latest software update
Tesla’s policy on limiting the power output of its performance vehicles due to frequency patterns of launch mode engagement and maximum power levels has ended. This week, the car manufacturer pushed a software update to its customers that removes power limiting on Performance variants of its Model S and Model X. Tesla continued to remind its customers that prudent habits can prevent premature wear of components due to high stress launches. Tesla confirmed that they will now “monitor the condition of the powertrain and display an alert if service is needed so we can take proactive steps, such as by replacing parts if necessary, to maintain the vehicle’s performance.”
Math says, Tesla’s “Maximum Plaid” mode could achieve 0-60 mph in 2.05 seconds
In this article scoop, Teslarati related how a group of really creative folks at Engineering Explained decided to reverse engineer the maximum theoretical acceleration that a Tesla Model S could achieve. The team worked somewhat counter-intuitively. They began by calculating the maximum deceleration first. Then they moved back up to acceleration, focusing on a stock Model S with stock tires. The result? Tesla’s next generation Roadster with “Maximum Plaid” mode may have the ability to accelerate from 0-60 mph in 2.05 seconds.
Elon Musk presents at the Tesla Launch Event in the UAE (Video)
Tesla CEO Elon Musk was a celebrity speaker at this week’s World Government Summit in Dubai. In his remarks, Musk noted, “We expect to invest tens of millions of dollars in the UAE for charging, service and support infrastructures. By next year, you’ll be able to travel anywhere in the GCC with an electric vehicle.” As he spoke about sustainability, Musk acknowledged that EV availability wouldn’t necessarily translate into immediate sales, as the region still considers fossil fuel-powered cars to be the preferred method of transportation. Following Musk’s visit, the UAE announced that it had ordered 200 Model S and Model X vehicles for use as a limousine service.
Elon Musk says human brains need to merge with AI to stay competitive with machines
As artificial intelligence technology improves, as some point humans will become irrelevant. That’s why we must learn to merge with machines, according to Tesla CEO Elon Musk, who explained some of his beliefs about the dangers of artificial intelligence this week. “I think we need to be very careful in how we adopt artificial intelligence and that we make sure that researchers don’t get carried away,” he stated. “Sometimes what will happen is a scientist will get so engrossed in their work that they don’t really realize the ramifications of what they’re doing.” Musk described how humans can mitigate those dangers through a type of merger of biological and machine intelligence, which he said would solve the problem of humans losing control over artificial intelligence.
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
