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Tesla’s Referral Program will officially come to an end on February 1
Tesla CEO Elon Musk has confirmed that the company’s customer referral program will be coming to an end on February 1st.
After a near 4-year run, Tesla’s widely popular referral program, which turned existing customers into hungry sales machines that were fueled by the lure of winning anything from a $250,000 next-generation Roadster (or two), to the promise of sending a laser-etched photo into deep space aboard a SpaceX rocket, will be shutting its doors for good. While this isn’t the first, second, or third time that the California electric carmaker and its CEO has leveraged the referral program to instill FOMO and convert would-be buyers into customers before a seemingly moving deadline, Musk’s statement that “the whole referral incentive system will end” does sound definitive.
https://twitter.com/gooseSD22/status/1085773248556462080
Existing Tesla customers that refer a friend to purchase a Model S, Model X, Model 3 vehicle, or a Tesla Solar Panel system, will have until the end of January 2019 to complete a referral sale. Buyers of a new Tesla will receive six months of Free Supercharging and an additional three months if taking delivery of the car without a test drive. Solar customers that make a purchase through a Tesla referral code will be given a 5-year extended warranty on their system.
What started as a test program in July of 2015 for a young car company that was looking to stimulate cost-effective word-of-mouth sales, in lieu of establishing expensive brick and mortar stores, has become arguably one of Tesla’s most successful sales tools to date.
“Word of mouth has always been a major part of how Tesla sales have grown. When I meet Tesla owners, one of the first things they often tell me is how they have convinced many others to buy the car. As you may already know, Tesla does not advertise or pay for endorsements or product placement. Maybe by doing so we could sell more cars, but I don’t like the idea of trying to trick people into buying a product by false association.” said Musk in an email sent to Model S customers in 2015.
“Reaching potential customers are important, but, if we can amplify word of mouth, then we don’t need to open as many new stores in the future. So, we are going to try an experiment.”
Inasmuch as the closing of the customer incentive program leaves a void to the hundreds of thousands that have grown accustomed to seeing, sharing or using a Tesla referral code, it’s the penning of a new chapter. One that continues the story of how one company accelerated the world’s transition to sustainable energy.
For prosperity’s sake, here’s a look back at the email that started it all.
From: Elon Musk
Subject: Trying something new (plus party at the Gigafactory and a Founder Series Model X)
Date: July 29, 2015 at 2:05:31 PM PDT
Word of mouth has always been a major part of how Tesla sales have grown. When I meet Tesla owners, one of the first things they often tell me is how they have convinced many others to buy the car. As you may already know, Tesla does not advertise or pay for endorsements or product placement. Maybe by doing so we could sell more cars, but I don’t like the idea of trying to trick people into buying a product by false association. If you see somebody famous driving a Model S, it is because they genuinely like the car.
If you see it in a movie or TV show, it is because the people associated with that production genuinely like the car. Besides word of mouth, another way that our cars are sold is through stores. These will always be important to allow people to check out new models and ask our product specialists detailed questions. However, stores are quite expensive to set up and operate. In reviewing the Tesla cost of sales, we found that it is approximately $2,000 to sell a car through our stores, higher in some regions and lower in others.
Both ways of reaching potential customers are important, but, if we can amplify word of mouth, then we don’t need to open as many new stores in the future. So, we are going to try an experiment. This is similar to the customer growth program that I worked on at PayPal/X.com back in ’99. What worked for PayPal may not work for Tesla, but it is worth trying, as the net result would be lowering our costs by $2,000, allowing us to give that money to our customers.
From now through October 31st, if someone buys a new Model S through your link, they will get $1,000 off the purchase price and you will get a $1,000 credit in your Tesla account, which can be applied to a future car purchase, service charge or accessories. To put some limits on the experiment, each Tesla owner can grant a maximum of ten $1,000 discounts.
Just for fun, there will also be some things that money can’t buy. If five of your friends order a Model S, you and a guest will receive an invitation to tour the Gigafactory in Nevada – the world’s biggest factory by footprint – and attend the grand opening party. This will be awesome. At ten orders, you get the right to purchase a Founder Series Model X, which is not available to the public, with all options free (value of about $25,000). The first person to reach ten will get the entire car for free.
Elon
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.