Tesla released a thank you video to the people that helped the company achieve tremendous achievements in 2020 amid the Coronavirus pandemic.
Last year was not easy for everyone, with lockdowns and community quarantines being implemented across the globe. Given how chaotic 2020 was, it might be difficult to recall everything that happened to Tesla.
Tesla’s thank you video names all the impressive milestones it passed despite the past year’s challenges. Below are some of the milestones listed in the video.
Tesla’s Automotive Division
- Giga Shanghai starts Made-in-China Model 3 deliveries at the beginning of 2020
- Tesla breaks ground on Giga Berlin
- Tesla produces its 1,000,000th vehicle
- US Model Y deliveries start in late Q1
- Tesla produces 102,672 vehicles and delivers 88,496 in Q1 2020
- Tesla implements proper Covid guidelines to reopen following a mandatory Covid shutdown
- Contactless deliveries were launched to make car purchases safer and easier despite the pandemic
- Model Y deliveries begin in Canada
- Tesla Model S becomes first production electric car with a 400-mile range
- Tesla produces 82,272 vehicles and delivers 90,891 in Q2 2020
- Tesla announces Gigafactory Texas
- Tesla Model S Plaid completes record 1.30.327 lap at Laguna Seca
- Tesla introduces custom 4680 cell during Battery Day and more
- Tesla produces 145,036 cars and delivers 139,593 in Q3 2020
- Giga Shanghai’s MIC Model 3 exports to Europe start
- Tesla releases Full Self-Driving beta to first batch of testers
- Tesla Supercharger Network grows up to 20,000 and counting
- Tesla delivers half a million cars by the end of 2020
Tesla Energy
- Giga New York builds Solar Roof for 1,000 homes in one week
- Tesla installs 100,000th Powerwall
- Tesla offers the lowest price for solar panels in America
- Tesla begins work on world’s largest Megapack project in Moss Landing, CA
- Tesla completes Powerpack battery expansion at the Hornsdale Power Reserve in Australia
TSLA shares
- Tesla declares five-for-one-stock split in Q3 to make TSLA more accessible for retail investors
- Tesla joins S&P 500 in Q4 2020
Each milestone could not have been achieved without the people behind Tesla, and the video seems to reflect that. Tesla seems adamant to keep its ball of success rolling in 2021.
This year started off with the announcement of the Tesla Plaid Model S and Plaid+ during the Q4 earnings call. Plaid Mode S deliveries are expected to start in the coming weeks. More Plaid Model S vehicles have been spotted in the Fremont Factory, hinting at possible late Q1 deliveries or early Q2 deliveries.
Giga Shanghai also announced the entrance of its locally-produced Model Y to the market. Deliveries started in early January. MIC Model 3 demand seems to be growing as well in Asia, particularly Japan. Tesla may also be looking into a project in India later this year.
Tesla’s 2020 thank you video to its employees could be accessed here.
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Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
