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Tesla top 5: Week in review, February 4
Tesla Model S real-world safety demonstrated after violent rear-end collision
A Reddit user recently posted photos of a Tesla Model S that had a rear-end collision with a Volvo truck. The post concurred with an Insurance Institute of Highway Safety crash test result for the Tesla Model S in which it earned only an “acceptable” rating on its rear crash test. To look at the Reddit photo, one might think that the Tesla Model S does quite well. With a curb weight of 4,647 pounds, the Model S has mass that helped it stand up to a 10-ton truck. The 1,200-lb. flat battery pack strapped to the frame likely was a positive factor, as it reinforces the structural integrity of the vehicle. The Reddit post’s author reported that the driver of the Model S walked away from the collision safe and believes the Tesla saved his life.
Welcome to Tesla, Inc.: We’re more than just electric cars
Tesla announced a corporate name change this week from “Tesla Motors” to “Tesla.” At the time of the company’s founding, the company was positioned as an alternative automobile company. Now, over a decade later, much has changed. With the revised moniker, Tesla confers a broader range of products and services, so that its market reach is much more extensive. Whether it is solar roof tiles, residential and commercial battery systems, or future endeavors such as semi-trucks, electric buses, ride sharing, and tunnel boring, the name Tesla speaks to the company’s overarching goals of clean energy efforts. Musk has repeated how his company will “create stunning solar roofs with seamlessly integrated battery storage, expand the electric vehicle product line to address all major segments, develop a self-driving capability that is 10X safer than manual via massive fleet learning, [and] enable your car to make money for you when you aren’t using it.” The name change now represents that social justice sustainability mission.
Tesla will release 4Q and ’16 full year financial result on February 22
Tesla has announced that on February 22, 2017, it will release Q4 2016 and full year 2016 financial results. First, Tesla will issue a brief advisory, which will include a link to the Q4 as well as a full year 2016 update letter. Each will be posted on the Tesla IR website. To accompany those data releases, the Tesla management will hold a live question and answer webcast that day, scheduled at this writing for 2:30 p.m. Pacific Time (5:30pm Eastern Time). Topics will include the company’s 2016 financial and business results and 2017+ outlook.
Tesla Model S crash test result misses top safety rating by IIHS
The Tesla Model S large luxury sedan earned good ratings in all Insurance Institute for Highway Safety (IIHS) “crashworthiness evaluations” except one: the challenging small overlap front crash test. In that evaluation, it earned just an acceptable rating. Even through Tesla had lengthened the side curtain airbags to improve small Model S overlap protection, it confronted testing issues when the safety belt allowed the dummy’s torso to move too far forward. The results indicated that duplicated real-world injuries would be “possible.” The ratings for the Model S apply to 2016 and 2017 cars built after October 2016. Tesla did make a production change on Jan. 23, 2017 to address the head-contact problem, so IIHS has said they will test the updated vehicle for small overlap protection.
Tesla Gigafactory in Lithuania reimagined within Minecraft game
Tesla’s mission to accelerate the world’s transition to sustainable energy requires production of lithium ion batteries to power their electric vehicles. The Tesla Gigafactory in Nevada began construction on November 4, 2014 and is expected to begin battery cell production by the end of this year. Even before that target production goal, however, Tesla is surveying European locations for a second Gigafactory. Lithuania would like to be chosen as that illustrious manufacturing site, so, to persuade Tesla it is the right fit, a team of Minecraft designers spent two days building a virtual model of Tesla’s Gigafactory. They envisioned Kruonis, Lithuania as the ideal spot for construction due to its “free economic zone, close to two international airports, within close radius of 1.3 million inhabitants.” Sustainable energy sources such as wind power were noted as a perk. Teams from several other European nations are also pitching their concepts to Tesla in the hopes that the next Gigafactory, with its associated job creation, will be in their neighborhoods.
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
