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Tesla’s 2023 Schedule & Expectations

(Credit: Petersen Auto Museum)

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Tesla already has a full plate for 2023. Even without the Q4 2022 delivery numbers, the company aims to grow another 50% this year. Below are just a few of Tesla’s biggest goals in 2023.

Tesla Cybertruck Production

Tesla also aims to start the Cybertruck’s initial production at Giga Texas, and might deliver a few Cybertrucks by the end of the year. The company will probably concentrate on Cybertruck production this year, with first deliveries likely starting in the second half.

Cybertruck bodies were spotted at Tesla’s Texas HQ in the weeks leading up to the new year. In early December, a Cybertruck rear megacast was seen at Giga Texas. Later that same month, equipment for the Cybertruck assembly line also started arriving at the Texas HQ.

The EV manufacturer might also be working on a smaller two-door Cybertruck concept. However, it will likely focus on the Cybertruck that it unveiled a few years ago.

Tesla Model 3 Revamp

First on Tesla’s list is the Model 3 revamp, otherwise known as “Project Highland.” The revamped Model 3 is expected to introduce updates to the all-electric sedan’s interior, infotainment system, and other crucial features. 

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People familiar with the Project Highland noted that Tesla managed to decrease the Model 3’s components. The revamped Model 3 would also get a better display. At the Q3 2022 earnings call, Elon Musk noted that next-generation Tesla vehicles might utilize the company’s smaller platform.

“But at this point, we’ve done the engineering for Cybertrucks and for Semi. So, it’s obviously against what we’re working on, which is the next-generation vehicle, which will be probably about the cost of 3 and Y platform. It will be smaller, to be clear,” Musk said.

Tesla Gigafactories and Other Projects

Tesla is still ramping up production at Giga Texas, Giga Berlin, and its Megafactory. The company’s other factories, including the Fremont Factory, Giga Nevada, and Giga Shanghai, will likely continue to improve and grow. 

Tesla is also expected to announce the location of its next gigafactory. The top contenders seem to be Mexico, Canada, Indonesia, and South Korea.

Besides the Model 3—and possibly work on the company’s smaller vehicle—and the start of Cybertruck production, Tesla is also ramping Semi production. So the company’s gigafactories will be plenty busy year-round. 

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Tesla China’s Big Boss Gets Bigger Role

Elon Musk may also give Tesla China boss Tom Zhu more responsibilities at the company, which would be a big transition for Tesla. Zhu is expected to take on a bigger role in Tesla as its new Global Operations manager, as per previous reports. 

Tesla has not confirmed Zhu’s new role at the company, but he has already stepped down as Tesla China’s main legal representative and some people have bid farewell to him on Weibo.

Zhu and his team of engineers from China have been spending time at the Fremont Factory and Giga Texas. They have also allegedly been working closely on Cybertruck production preparations.

Tesla still has a bunch of products in development, like the Roadster and the humanoid robot Optimus. Plus, Tesla has yet to officially unveil its $25,000 vehicle, dubbed by some in the EV community as the Model 2. Then there are updates for Full Self-Driving and Autopilot and 4680 production. As 2023 continues, Tesla will likely add more events to its packed schedule. 

I’d appreciate tips about any of the projects mentioned in this article. Contact me at maria@teslarati.com or via Twitter @Writer_01001101.

 

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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