Another busy year is coming to an end, closing yet another chapter in Tesla’s journey to advance sustainability. As we prepare for what’s expected to be an eventful 2024, it’s also worth looking back on Tesla’s year in 2023 to highlight some of the company’s many major developments.
Some of Tesla’s important accomplishments in 2023 included the launch of the highly anticipated Cybertruck and the redesigned Model 3 “Highland,” as well as the widespread adoption of the automaker’s charging hardware across the North American auto industry.
Other important developments not highlighted in the list below included Tesla’s industry-rocking price cuts early in the year, and the company’s increasing production of giant Megapack batteries.
The year was a little quiet in Solar and Powerwall deployment and Semi production, though what Tesla lacked in these areas, the company arguably made up for with several other crucial developments.
Below you can see a list of some of Tesla’s most notable stories in 2023.
Tesla announced Gigafactory Mexico
At its Investor Day event earlier this year, Tesla officially announced plans to build a new Gigafactory in Mexico to help build its next-generation EV platform. Set to be constructed in the state of Nuevo León, Tesla recently gained federal land use permits, allowing it to begin construction on the site.
Tesla detailed its Master Plan part three
In April, Tesla shared its Master Plan part three, detailing the company’s proposal for a path to reaching a sustainable global energy economy. The plan followed the Tesla Master Plan parts one and two, which were shared by the company in 2006 and 2016, respectively.
Ford adopted North American Charging Standard (NACS), others followed
In a Spaces call on X in May, Ford CEO Jim Farley spoke with Elon Musk and officially announced the legacy automaker’s plans to adopt Tesla’s charging hardware, dubbed the North American Charging Standard (NACS). The news meant that Ford EVs would someday gain access to the Supercharger network, marking the first step in Tesla’s plans to open the charging network to all EVs.
Since then, every startup and major automaker has followed suit, with the exception of Chrysler-Dodge parent company, Stellantis.
Tesla began producing Dojo supercomputer
Tesla began production of the Dojo supercomputer in July, after the project was originally unveiled during AI day in 2021. The supercomputing cluster is expected to be able to process large streams of data to perform advanced AI and machine learning computations, and it’s projected to become one of the top supercomputers worldwide in the coming months, offering applications from the Full Self-Driving (FSD) beta and beyond.
Elon Musk live streamed FSD beta v12, later rolling early versions out to employees
Speaking of the FSD beta, Musk in August shared a live stream of the then-upcoming FSD version 12, which the CEO has touted as an important key to unlocking full autonomous driving. More recently, Musk confirmed that the FSD beta v12 was starting to roll out to employees, and it has been confirmed to be hitting over 15,000 employee-owned vehicles ahead of a wider release to the public.
Tesla’s FSD beta program also reached 500 million cumulative miles driven in October, representing a massive amount of real-time data for the automaker’s AI to learn from.
Tesla launched the redesigned Model 3 “Highland”
After several months of speculation that Tesla would be releasing a redesigned version of its popular Model 3 sedan, the automaker held a premiere event in Norway in late August, officially launching the refreshed “Highland” design. Initial customer deliveries of the redesigned Model 3 have since been rolling out across much of Europe, Asia, and other markets like Australia and New Zealand.
While the Model 3 Highland isn’t yet available in North American markets, it’s widely expected to be launched in early 2024.
Continued developments to Tesla’s Optimus program
While there weren’t any breakout news stories or an official release for Tesla’s Optimus humanoid robot, the company did highlight its continued developments for the product. Tesla has been ramping up hiring for the Optimus team, featuring videos showing off how the robot can now sort objects autonomously, perform yoga poses, dance and more.
More recently, Musk predicted that Optimus will be able to thread a needle in just a year, and manufacturing expert Sandy Munro says he expects that the humanoid robot will begin being used in Tesla’s factories as soon as 2024.
Tesla launched BP Supercharger partnership
In the first deal of its kind, Tesla sold $100 million worth of Supercharging equipment to BP (formerly British Petroleum) in October, paving the way for future commercial deals that could result in a major revenue stream in the future — especially as Tesla’s NACS takes shape as the charging standard in the next few years.
Tesla launched Cybertruck with delivery event
Last but certainly not least, Tesla held the Cybertruck delivery event late last month, after initially unveiling the vehicle over four years ago in November 2019. Initial deliveries of Tesla’s “Foundation Series” launch edition Cybertrucks have been going out to employees throughout this month, and many reservation holders have been invited to place their own orders for the vehicle.
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What are your thoughts? Did I miss anything important that Tesla did in 2023? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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.