Tesla could relaunch its defunct Referral Program, which promised free Supercharging miles and free Roadsters to owners who encouraged others to buy company products. According to coding found in the mobile app update, Tesla could bring the program back, but for what reason?
Tesla formerly operated a Referral Program that gave product owners a code to share with friends, family and others. The more the code was used, the more rewards that owner would gain. It was especially good for those who had a strong presence on social media, as it basically eliminated the need to ever pay for Supercharging.
However, the Referral Program offered more astronomical prizes, like free 202? next-gen Roadsters, races in the Tesla Semi, and driving the Boring Company machine. This program was ultimately eliminated by Tesla in September 2021, for vehicles at least. Tesla still maintains a Referral Program for Solar Roof or Solar Panel purchases.
“Friends and family who order through your referral link can earn $300 for Solar Roof or Solar Panels upon permission to operate, while also reducing reliance on the grid and producing clean solar energy. You will earn $300 for each Solar Roof or Solar Panels referral,” the company’s website says. The reward was previously $500.
TeslaScope recognized new coding in the Tesla mobile app, which indicated the Referral Program might be on its way back:
Tesla’s referral program might be making a comeback very, very soon!
The latest mobile app update has some new text strings referring to redeeming referrals for Supercharging miles and even official merchandise and vehicle accessories.
— Teslascope (@teslascope) October 19, 2022
The initial program was perhaps stopped due to excessive demand. The Referral Program absolutely helped Tesla accelerate its sales and transition more households to sustainable energy, but it got to the point that the automaker may have been sacrificing additional revenue streams due to the incredible success of the referrals. The tasty incentives that eliminated Supercharging payments, letting people drive for free, along with some owners grasping the more lofty prizes, may have been more than Tesla could handle at the time.
Now, there are questions surrounding Tesla’s demand after a miss on quarterly deliveries in Q3, and a decrease in overall deliveries in Q2 from Q1. The Q3 miss was Tesla’s second consecutive delivery miss. The company had not previously missed a delivery target since coming up short of 2020 Full Year expectations, where it came just shy of its 500,000 vehicle goal.
Additionally, the decrease in deliveries from Q2 to Q1 is slightly misleading. Although Tesla’s deliveries were lower in Q2 than in Q1, ending a two-year-long streak, the company was upgrading production lines in Shanghai to increase manufacturing capacity.
Speculation begins to rise that Tesla is considering the Referral Program once again to help supplement demand, which could, in reality, be slowing down due to more competition. This is almost laughable considering Tesla held over 60 percent of the United States EV market share in Q3. However, CEO Elon Musk solidified during the Q3 2022 Earnings Call on Thursday that Tesla’s is not experiencing any issues with demand.
“Let’s see with respect to demand. We’ve got a lot of questions about demand in recent weeks,” Musk said. “I can’t emphasize enough, we have excellent demand for Q4, and we expect to sell every car that we make for as far in the future as we can see.”
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
Quotes provided by The Motley Fool.
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
